Stroke rehabilitation: from diagnosis to therapy

Stroke remains a significant global health burden, necessitating comprehensive and innovative approaches in rehabilitation to optimize recovery outcomes. This paper provides a thorough exploration of rehabilitation strategies in stroke management, focusing on diagnostic methods, acute management, and diverse modalities encompassing physical, occupational, speech, and cognitive therapies. Emphasizing the importance of early identification of rehabilitation needs and leveraging technological advancements, including neurostimulation techniques and assistive technologies, this manuscript highlights the challenges and opportunities in stroke rehabilitation. Additionally, it discusses future directions, such as personalized rehabilitation approaches, neuroplasticity concepts, and advancements in assistive technologies, which hold promise in reshaping the landscape of stroke rehabilitation. By delineating these multifaceted aspects, this manuscript aims to provide insights and directions for optimizing stroke rehabilitation practices and enhancing the quality of life for stroke survivors.

1 Introduction

Stroke stands as a significant global burden, impacting millions of lives annually and presenting a substantial challenge to healthcare systems worldwide. Statistics from the World Health Organization (WHO) reveal that stroke is a leading cause of mortality and disability globally. Annually, approximately 13.7 million new cases of stroke are reported, making it a prevalent health issue across continents and demographics (1). The latest findings from the 2019 Global Burden of Disease (GBD) report revealed that stroke continues to hold its position as the second leading cause of mortality and the third leading cause of mortality and disability combined, measured in terms of disability-adjusted life-years lost (DALYs) worldwide (2). The projected economic impact of stroke globally exceeds US$891 billion, accounting for approximately 1.12% of the global Gross Domestic Product (GDP) (3). Between 1990 and 2019, there was a significant surge in the burden of stroke, indicated by a 70.0% rise in new stroke cases, a 43.0% increase in stroke-related deaths, a 102.0% uptick in existing stroke cases, and a 143.0% elevation in DALYs. The majority of the worldwide burden of stroke, accounting for 86.0% of deaths and 89.0% of DALYs, was observed in countries categorized as lower-income and lower-middle-income countries (LMIC).

Considerable variations were evident in age-standardized stroke incidence (six-fold), mortality (15-fold), prevalence (four-fold), and DALYs (20-fold) rates across different geographical regions. The regions with the highest rates were predominantly observed in LMIC, notably in Eastern Europe, Asia, and Sub-Saharan Africa (4). Beyond its high incidence, stroke accounts for a substantial number of deaths globally. Those who survive often experience varying degrees of disability, which significantly affects their quality of life (5). Disabilities resulting from stroke encompass motor impairments, cognitive deficits, speech and language difficulties, and psychological challenges (6). The aftermath of stroke extends beyond the individual affected, impacting families, caregivers, and society at large. The disabilities and long-term care needs of stroke survivors impose emotional, financial, and practical burdens on families (7, 8). Furthermore, the societal cost is immense, encompassing healthcare expenses, loss of productivity, and the need for long-term rehabilitation and support services (9). Disparities in stroke incidence, management, and outcomes exist globally, often correlated with socio-economic factors (10). Low-and middle-income countries face greater challenges due to limited access to healthcare services, diagnostics, and rehabilitation facilities. These disparities contribute to higher mortality rates and poorer recovery outcomes in certain regions (11).

Efforts to reduce the global burden of stroke emphasize prevention through awareness campaigns targeting risk factors like hypertension, smoking, obesity, and physical inactivity (3). Additionally, interventions focusing on timely access to acute care, advanced treatments such as thrombolytic therapy, and comprehensive rehabilitation are crucial in mitigating the impact of stroke (12). Addressing the global burden of stroke necessitates collaborative efforts between governments, healthcare organizations, advocacy groups, and communities. Initiatives aimed at improving access to healthcare, enhancing stroke awareness, promoting healthier lifestyles, and advancing rehabilitation services are fundamental in reducing the burden of stroke on a global scale (13). The pervasive impact of stroke underscores the urgent need for concerted global action. Strategies encompassing prevention, timely intervention, access to quality healthcare, and comprehensive rehabilitation are essential to alleviate the burden of stroke and improve outcomes for individuals affected by this debilitating condition (14). This paper aims to provide a comprehensive overview of the evolving landscape of stroke rehabilitation, emphasizing the critical phases from diagnosis to therapy. By synthesizing current knowledge and highlighting emerging trends, this review intends to serve as a resource for clinicians, researchers, and policymakers involved in stroke care and rehabilitation. This manuscript endeavors to contribute to the evolving discourse on stroke rehabilitation by synthesizing and analyzing diverse literature from across the spectrum of stroke care. While not a systematic review in the traditional sense, this manuscript adopts a rigorous approach to literature selection, guided by clear inclusion criteria. These criteria prioritize relevance, quality, credibility, diversity of perspectives, and a keen focus on emerging technologies and innovations in stroke rehabilitation. Central to our approach is the recognition of the multifaceted nature of stroke rehabilitation. Each section of this manuscript delves into specific aspects of stroke care, from the early diagnosis and assessment to the implementation of rehabilitation programs across different stages of stroke recovery. By integrating evidence from various publication types, including original research articles, clinical trials, systematic reviews, meta-analyses, and review articles, we aim to provide a comprehensive overview of the current state of stroke rehabilitation. Moreover, our commitment to inclusivity extends beyond the traditional boundaries of stroke research. Efforts have been made to incorporate literature from diverse geographical regions, healthcare settings, and patient populations, acknowledging the unique challenges and perspectives that shape stroke rehabilitation practices globally.

Special attention is also given to the exploration of emerging technologies and innovations in stroke rehabilitation. From robotics to virtual reality and neurostimulation techniques, the evolving landscape of rehabilitation technology offers promising avenues for enhancing outcomes and improving the quality of life for stroke survivors. By embarking on this comprehensive review journey, we seek to not only consolidate existing knowledge but also identify gaps, challenges, and opportunities for future research and practice in stroke rehabilitation. Through our collective efforts, we aspire to contribute to the advancement of evidence-based, patient-centered care that optimizes outcomes and fosters resilience in the face of stroke.

The multifaceted field of stroke rehabilitation is explored in this review paper, providing a comprehensive overview of current practices, challenges, and future directions. The paper begins with a background on stroke rehabilitation, discussing its significance, historical context, and the evolution of practices. This section sets the stage for understanding the critical role of rehabilitation in stroke recovery. Next, current rehabilitation practices are examined, detailing interventions such as early rehabilitation strategies, physical therapy, occupational therapy, speech and language therapy, and cognitive rehabilitation. Each subsection highlights evidence-based practices and their impact on recovery. The challenges and opportunities in stroke rehabilitation are then addressed. Issues such as the lack of standardized timing for rehabilitation initiation, disparities in access to services, stroke-related infections, the need for individualized rehabilitation plans, and the importance of interdisciplinary collaboration are analyzed. Potential improvements and innovations are discussed. Finally, the future directions are explored. Emerging trends and advancements, including personalized rehabilitation approaches, the integration of neuroplasticity concepts, and the development of assistive technologies, are highlighted. These innovations are shown to have the potential to transform rehabilitation practices and improve outcomes for stroke survivors. This structured approach provides a clear roadmap for readers, ensuring a thorough coverage of each aspect of stroke rehabilitation. It offers valuable insights for clinicians, researchers, and stakeholders in the field.

2 Diagnosis of stroke: clinical assessment and imaging techniques

The clinical assessment of stroke involves a comprehensive evaluation that begins with taking the patient’s medical history (Figure 1). This includes probing into risk factors such as hypertension, diabetes, smoking, previous strokes, or heart disease (15). A thorough physical examination follows, focusing on neurological assessments. This examination evaluates motor function, sensation, coordination, reflexes, and cranial nerve function (16). Utilizing scales like the NIH Stroke Scale (NIHSS) helps in quantifying the severity of stroke symptoms, aiding in treatment decisions (17). Additionally, determining the time of symptom onset is critical, as certain treatments like thrombolytic therapy have a limited window of effectiveness after symptom onset (18). Imaging serves as a pivotal component in selecting patients for intravenous and intra-arterial arterial ischemic stroke treatments. Techniques like computed tomography (CT) with CT angiography or magnetic resonance (MR) with MR angiography are employed to eliminate stroke mimics and hemorrhages, ascertain the stroke’s cause and mechanism, delineate the extent of brain infarction, and pinpoint arterial blockages (19). Imaging has the potential to discern patients who would derive greater benefit from revascularization therapies, irrespective of the traditional therapeutic time frame. This capability allows for personalized treatment decisions, enhancing individual patient outcomes significantly (20). Multiparametric CT/MR imaging can determine the scope of potentially salvageable brain tissue (penumbra) and irreversible brain damage (core) by leveraging CT perfusion and/or diffusion-weighted and perfusion-weighted MR imaging (21, 22). Additionally, the imaging of diffusion-weighted techniques aids in evaluating the status of arterial collateral circulation and discerning the type and spread of the clot (23).

Figure 1

Figure 1. The most reliable test for clinical assessment of stroke.

The primary goals of arterial ischemic stroke imaging involve excluding hemorrhage and stroke mimics and identifying optimal candidates for IV or IA treatments, considering both the extent of confirmed brain damage (core) and the location of arterial blockages (24, 25). Arterial ischemic strokes are urgent medical situations where treatment decisions (ranging from conservative approaches to IV thrombolysis and/or mechanical revascularization) hinge on two crucial imaging factors: the timeframe since onset and two primary features observed in imaging—parenchymal lesions and arterial blockage locations (26, 27). Imaging of the parenchyma is vital for confirming the diagnosis and gauging the extent of ischemic damage, while vascular imaging, conducted through CT/CTA or MRI/MRA, is essential for pinpointing the location of arterial blockages in arterial ischemic stroke evaluations (28, 29). Supplementary details about collateral flow, penumbra, and core extension can significantly enhance the precision of individual treatment decisions. The selection of the initial imaging modality for arterial ischemic stroke assessment is largely influenced by the immediate 24/7 equipment accessibility and its capability to furnish vital information necessary for various treatment approaches (29, 30). Due to its broader availability, CT stands as the most widely utilized imaging technique globally for acute stroke. Transcranial Doppler (TCD) utilizes ultrasound to assess blood flow in the brain’s blood vessels, aiding in the evaluation of stroke and identifying conditions like vasospasm, providing valuable insights into the vascular aspects of stroke pathology (31). Telemedicine and mobile imaging have revolutionized stroke care, particularly in areas with limited access to specialized stroke expertise.

Remote evaluation of stroke patients using telemedicine enables timely assessment and consultation with stroke specialists, facilitating rapid decision-making and treatment initiation (32). Artificial intelligence (AI) is increasingly being integrated into imaging analysis, showing promising results in quickly and accurately detecting stroke. AI-assisted analysis helps clinicians by providing rapid insights into imaging data, aiding in prompt diagnosis and subsequent treatment planning (33). Emerging research highlights the capacity of AI to enhance stroke prognosis. Lukić et al. (34) pioneered an artificial neural network (ANN)-driven framework for predicting outcomes in cases of stroke. Meanwhile, Wang et al. (35) utilized machine learning to construct a random forest model for stroke prognosis. Additionally, Xu et al. (36) amalgamated CT radiomics with machine learning methods to devise stroke prognostic models integrating 18 CT imaging attributes. These novel approaches have optimized the selection of risk factors and expanded the inclusion of imaging features, thus bolstering predictive precision. Moreover, deep learning has surfaced as a hopeful avenue for prognostic forecasting leveraging imaging data. Chen et al. (37) formulated a predictive model centered on convolutional neural networks (CNNs), blending clinical data with extensive imaging characteristics to address prior constraints of stroke prognostic frameworks. Their results indicate heightened predictive efficacy of the clinic-imaging fusion CNN model. This model stands poised for integration into clinical practice, offering the prospect of enhanced management for ICH patients. These technological advancements in stroke diagnosis significantly improve the speed and accuracy of assessments, allowing for rapid initiation of appropriate treatments, thereby minimizing brain damage and enhancing the prospects of recovery for stroke patients.

3 Early identification of rehabilitation needs

Upon a patient’s arrival following a stroke, a comprehensive clinical assessment is crucial. This assessment involves a detailed evaluation of the patient’s neurological status, encompassing motor function, sensation, coordination, and cognitive abilities. It helps in swiftly identifying any deficits or impairments resulting from the stroke (38). Additionally, assessing speech, language, and swallowing abilities early on is vital. This immediate evaluation assists in identifying any communication impairments or dysphagia, indicating the need for specialized speech and language therapy (39).

Utilizing tools such as NIHSS aids in objectively quantifying the severity of stroke symptoms. This assessment provides critical information to healthcare professionals about the extent and severity of impairments, guiding decisions on the urgency and intensity of rehabilitation interventions (40). Functional assessments, like the Functional Independence Measure (FIM), play a crucial role in determining the patient’s level of independence in performing activities of daily living (ADLs). These assessments aid in highlighting specific areas requiring focused rehabilitation efforts (41). As mentioned previously, imaging techniques, such as CT scans MRI not only confirm the diagnosis of stroke but also offer insights into the location and extent of brain damage. Integrating these imaging findings with clinical deficits assists in understanding the specific deficits correlated with affected brain regions. This correlation is pivotal in guiding the development of targeted rehabilitation strategies tailored to the individual’s needs (21, 42).

Initiating rehabilitation interventions as early as possible post-stroke, even within the acute phase, is associated with improved outcomes. Early interventions may involve passive range-of-motion exercises, early mobilization, or cognitive stimulation exercises. These early initiatives aim to prevent secondary complications, promote neural plasticity, and lay the groundwork for subsequent rehabilitation efforts (43, 44). Concurrently, setting rehabilitation goals in collaboration with the patient and their caregivers helps establish a clear direction for therapy. These goals are individualized, realistic, and aimed at improving functional abilities based on the identified impairments (45). Involving a multidisciplinary team comprising various specialists—such as physiotherapists, occupational therapists, speech-language pathologists, psychologists, and social workers—is instrumental. This collaborative approach ensures a comprehensive assessment and identification of rehabilitation needs from various perspectives. Each specialist brings unique expertise to the table, contributing to the development of a holistic rehabilitation plan tailored to the patient’s specific impairments and goals (14). Furthermore, engaging family members or caregivers right from the beginning allows them to grasp the rehabilitation process, receive training on assisting the patient, and create a supportive environment upon the patient’s discharge (46). Early identification of stroke rehabilitation needs through a comprehensive and interdisciplinary approach sets the stage for a focused, individualized, and timely rehabilitation plan, significantly impacting the trajectory of recovery for stroke survivors (47).

4 Stages of stroke and corresponding rehabilitation programs

Stroke recovery is typically categorized into three stages: acute, subacute, and chronic. Each stage has distinct characteristics and rehabilitation needs, which are critical for optimizing patient outcomes (Table 1).

Table 1

Table 1. Efficacy of various rehabilitation approaches across different stages of stroke recovery.

4.1 Acute stage of stroke

The acute stage of stroke encompasses the first 24 h to 1 week following the onset of the stroke. During this initial phase, the primary focus is on medical stabilization and preventing further brain damage (99). Immediate medical interventions are crucial, including measures to restore blood flow, such as the administration of tissue plasminogen activator (tPA) for ischemic strokes or surgical procedures to address hemorrhagic strokes (100). Early rehabilitation efforts aim to prevent complications, such as deep vein thrombosis, pressure sores, and contractures. Gentle mobilization, proper positioning, and passive range of motion exercises are implemented to maintain some level of physical function. Basic activities of daily living (ADL) training, including assistance with eating, dressing, and personal hygiene, are introduced to help patients maintain a degree of independence. Psychological support is also essential at this stage to help patients and their families cope with the emotional impact of the stroke (101).

4.2 Subacute stage of stroke

The subacute stage occurs from 1 week to three to 6 months post-stroke. This phase is marked by more intensive rehabilitation efforts aimed at promoting neurological recovery and improving functional abilities (102). During the subacute stage, patients typically engage in comprehensive rehabilitation programs that include physical therapy, occupational therapy, and speech and language therapy. Physical therapy focuses on improving strength, coordination, balance, and mobility through exercises and activities tailored to the patient’s needs (103). Occupational therapy helps patients regain the ability to perform daily tasks, such as dressing, bathing, and cooking, by using techniques like constraint-induced movement therapy (CIMT) and dual-task training (104). Proprioceptive training is also incorporated to enhance the patient’s sense of body position and movement (105). Speech and language therapy continues to address communication and swallowing difficulties (106). Psychological counseling and support remain vital to address any emotional and cognitive challenges that arise during this phase of recovery (107).

4.3 Chronic stage of stroke

The chronic stage of stroke begins 6 months after the initial event and extends indefinitely. During this phase, the focus shifts to long-term rehabilitation and the management of any residual disabilities. The goal is to maintain and further improve functional abilities while helping patients adapt to their long-term needs (55). Rehabilitation interventions in the chronic stage often include community-based programs, which provide ongoing therapy and support. Advanced therapies such as robot-assisted therapy and virtual reality training are used to enhance motor skills and cognitive functions (108). Functional electrical stimulation (FES) may be employed to improve muscle function, and mirror therapy can be used to create the illusion of movement in the affected limb (109). Cognitive rehabilitation activities are designed to improve memory, attention, and problem-solving skills. Aerobic exercises and hydrotherapy are included to improve cardiovascular health and overall fitness (70). Music therapy can be beneficial for enhancing mood and cognitive functions (110). Long-term psychological support is crucial for helping patients adjust to their new normal and maintain motivation for continued recovery (111).

5 Acute management and rehabilitation

In the critical phase immediately following a stroke, the imperative is to promptly implement rehabilitation initiatives tailored to address immediate needs and initiate the recovery process. This phase is characterized by a dual focus on immediate rehabilitation strategies and addressing acute medical requirements. Acute management in stroke rehabilitation refers to the immediate interventions and care provided after the initial medical stabilization of a stroke patient, typically within the first few days to weeks following the stroke. This phase is distinct from emergency medical care and focuses on beginning the rehabilitation process to optimize recovery and prevent complications (40). After the initial emergency treatment, which aims to stabilize the patient and address life-threatening issues, acute management begins to initiate the rehabilitation journey. The goal during this phase is to start therapies that can enhance neurological recovery, improve functional outcomes, and set the stage for long-term rehabilitation (112). This involves a multidisciplinary approach, including neurologists, physical therapists, occupational therapists, speech therapists, and other healthcare professionals working together to develop a comprehensive care plan (101).

Continuous monitoring of neurological status and vital signs is crucial for detecting any signs of deterioration or complications such as recurrent strokes, infections, or cardiac issues. Adjustments to medication regimens and treatments are made based on the patient’s evolving condition (113). Initiating gentle physical activities and mobilization as soon as the patient is medically stable is essential. Early mobilization helps prevent complications like deep vein thrombosis, muscle atrophy, and joint contractures. Physical therapists work with patients to perform passive and active range of motion exercises, bed mobility exercises, and, when possible, supported standing and walking activities (114). Occupational therapists focus on helping patients regain their ability to perform daily activities. This includes exercises and interventions designed to improve motor skills, coordination, and cognitive functions necessary for tasks such as dressing, eating, and personal hygiene (115). For patients experiencing aphasia or dysphagia, speech therapists conduct assessments and provide targeted therapies to improve communication and swallowing abilities. This is critical to ensure that patients can safely consume food and liquids, thus reducing the risk of aspiration pneumonia (116). Addressing the psychological impact of a stroke is a key component of acute management. Mental health professionals provide counseling and support to help patients and their families cope with the emotional aftermath of a stroke. This support can help in reducing anxiety and depression, fostering a positive outlook towards rehabilitation (14). Proactive measures are taken to prevent secondary complications, including managing risk factors for recurrent strokes, such as hypertension and diabetes, ensuring proper nutrition, and maintaining skin integrity to prevent pressure ulcers (117). Thus, The primary objectives of acute management in stroke rehabilitation are to stabilize the patient’s medical condition, initiate rehabilitation therapies to enhance recovery, prevent secondary complications such as infections, thromboembolic events, and muscle wasting, provide psychological support to help patients and families adjust to the changes brought by the stroke, and establish a foundation for the subsequent stages of rehabilitation. By addressing these aspects, acute management aims to maximize the potential for functional recovery and improve the overall quality of life for stroke patients in the critical early days following their stroke.

5.1 Early rehabilitation initiatives

In the crucial hours immediately after a stroke, the introduction of early rehabilitation initiatives holds profound significance. These pivotal interventions, instated within the initial 24 to 48 h following the stroke event, form the cornerstone of the recovery process (118). Their primary objectives encompass preventing potential complications, initiating the rehabilitation trajectory, and laying the essential groundwork for optimal recovery (119).

Passive range-of-motion exercises emerge as fundamental components even during the acute phase post-stroke. These gentle movements administered to the affected limbs serve as a safeguard, preserving joint flexibility and thwarting the onset of muscle contractures. This preventive measure is instrumental in mitigating the risks associated with long-term impairments that could impede the recovery process (120, 121). Early mobilization takes precedence as a pivotal strategy in acute rehabilitation. Encouraging and facilitating patients to engage in sitting exercises, standing movements, and, when feasible, undertaking short walks constitute early mobilization efforts (71). Beyond mitigating muscle deconditioning, these early mobilization initiatives significantly mitigate the likelihood of complications like deep vein thrombosis and pressure ulcers, essential for promoting a conducive environment for recovery (122, 123). Sensory stimulation techniques, involving tactile, auditory, or visual stimulation, are employed to arouse and activate affected senses. This early engagement of the senses aims to jumpstart neural plasticity and sensory reawakening in the specific brain regions impacted by the stroke event (124, 125). While seemingly straightforward, these early rehabilitation initiatives wield a profound impact. Their implementation is consistently validated by research, underscoring their pivotal role in shaping the trajectory of recovery for stroke survivors.

5.2 Addressing mobility and functional impairments

In the acute phase of stroke rehabilitation, the focus sharply narrows to addressing mobility and functional impairments. This critical phase aims to reestablish lost capabilities, enhance balance, coordination, and restore independence in daily activities (Figure 2). Physiotherapy interventions form the backbone of efforts to regain mobility. Gait training, strength-building exercises, and balance drills orchestrated by physiotherapists are instrumental in improving motor function. These specialized exercises and techniques, often personalized to the individual’s condition, actively work toward ameliorating gait abnormalities. The integration of assistive devices and adaptive strategies further facilitates safe and effective movement (126, 127). Occupational therapy takes center stage in reinstating functionality in ADLs. Occupational therapists guide patients through essential tasks, such as dressing, grooming, feeding, and home management. The focus lies in enabling patients to regain independence in these pivotal daily activities, promoting autonomy and self-sufficiency (128). Task-specific training, an integral component of acute rehabilitation, involves engaging patients in activities tailored precisely to their deficits. By replicating real-life situations, this method fosters neural reorganization and functional recovery. These activities, meticulously designed to confront the unique challenges posed by the stroke, play a pivotal role in retraining the brain and restoring lost functionalities (56, 129). This acute phase of rehabilitation, deeply rooted in tailored interventions and guided exercises, serves as the foundation upon which subsequent recovery efforts are built. By addressing mobility and functional impairments strategically, this phase contributes significantly to restoring independence and enhancing the quality of life for stroke survivors (87).

Figure 2

Figure 2. Different stroke rehabilitation modalities.

5.3 Integrating rehabilitation into acute care

Integrating rehabilitation seamlessly into acute care settings is a fundamental aspect of providing comprehensive stroke care. This integration involves merging rehabilitation strategies into the acute medical management plan, ensuring a cohesive approach to address immediate medical needs alongside rehabilitation goals (130). Early identification and team collaboration are pivotal in this integration. Identifying rehabilitation needs promptly and assembling a multidisciplinary team comprising neurologists, physiatrists, nurses, therapists, and social workers facilitates a comprehensive assessment. This collaborative effort allows for a simultaneous evaluation of rehabilitation requirements in tandem with acute medical interventions (131). Tailoring rehabilitation goals forms the cornerstone of the integrated approach. Setting specific, measurable, achievable, relevant, and time-bound (SMART) objectives is crucial. These objectives, personalized to the patient’s condition, aim to optimize functional recovery while concurrently addressing immediate medical concerns. This tailored framework for rehabilitation forms the bedrock of a responsive and dynamic rehabilitation plan (132). Continuous monitoring and adjustment of rehabilitation strategies are essential components of this integrated model. Continuous evaluation of the patient’s response to rehabilitation interventions enables real-time adjustments. This adaptive approach ensures that rehabilitation strategies remain responsive to the patient’s evolving needs and medical condition, fostering a flexible and patient-centric rehabilitation process (133, 134). Integrating rehabilitation into acute care represents a paradigm shift, acknowledging the symbiotic relationship between immediate medical interventions and the imperative need for rehabilitative efforts. This holistic approach not only kickstarts the rehabilitation journey early on but also ensures a coordinated and comprehensive care plan for stroke survivors (19, 135).

6 Rehabilitation modalities

6.1 Physical therapy

Physical therapy (PT) stands as a cornerstone within stroke rehabilitation, encompassing a multifaceted approach aimed at restoring mobility, enhancing motor function, and mitigating physical impairments. It serves as an integral component throughout the continuum of stroke care, spanning from acute management to long-term recovery (136, 137). Upon initial assessment, physical therapists meticulously evaluate the individual’s functional abilities, motor impairments, and specific limitations resulting from the stroke. Based on this assessment, personalized rehabilitation plans are crafted, and tailored to address the unique needs and goals of each patient. These plans are dynamic, evolving with the patient’s progress and changing requirements (138, 139). Gait training assumes a crucial role in PT for stroke survivors, focusing on restoring and optimizing walking patterns.

Therapists employ various techniques, from treadmill-based training to over-ground walking practice, concentrating on improving balance, strength, and coordination (140). Advanced technologies such as robotic-assisted gait training or body-weight-supported treadmill training may be utilized to augment the rehabilitation process. Emphasis is placed on re-establishing a safe and functional gait to enable increased independence in daily activities (141). PT interventions encompass a range of exercises designed to enhance muscle strength, flexibility, and coordination. Targeted exercises, customized to address specific muscle groups affected by the stroke, aid in motor recovery. Therapists utilize resistance training, functional activities, and neuromuscular re-education to promote muscle activation and facilitate movement in impaired limbs (142, 143). Therapists employ various balance exercises and proprioceptive activities to improve balance and coordination, essential for preventing falls and enabling functional mobility. These exercises often involve challenging the patient’s stability in a controlled environment to enhance balance reactions and postural control (144). Moreover, to mitigate the risk of secondary complications such as joint contractures and stiffness, therapists incorporate range-of-motion exercises. These gentle movements aim to preserve joint flexibility, prevent musculoskeletal issues, and facilitate ease of movement in affected limbs (145, 146). PT extends beyond clinical settings, encompassing functional training and home modification recommendations. Therapists collaborate with patients to simulate real-life scenarios, practicing activities crucial for daily living. Additionally, they provide guidance on adapting home environments and suggesting assistive devices and modifications to enhance accessibility and safety within the home setting (147, 148). Physical Therapy, as a core element of stroke rehabilitation, not only targets physical impairments but also promotes functional independence, enabling individuals to regain confidence and improve their overall quality of life following a stroke.

6.2 Occupational therapy

Occupational therapy (OT) within stroke rehabilitation is a pivotal modality focused on restoring independence in daily activities, re-establishing functional abilities, and promoting engagement in meaningful life roles. Tailored to each individual’s needs and goals, OT interventions span various domains to facilitate a smoother transition from impairment to autonomy (149, 150). Occupational therapists conduct comprehensive assessments to gauge the impact of stroke on an individual’s ability to perform daily tasks. These assessments help formulate personalized rehabilitation plans, targeting specific deficits in ADLs, instrumental activities of daily living (IADLs), work-related tasks, and leisure activities (151, 152). OT interventions primarily revolve around retraining and adapting ADLs. Therapists employ task-oriented training to facilitate independence in self-care activities such as grooming, bathing, dressing, toileting, and feeding. Adaptive strategies, environmental modifications, and the use of assistive devices are integrated to maximize functional independence and participation in daily routines (153, 154). Recovery of upper limb function is a key focus within OT. Therapists utilize exercises targeting hand-eye coordination, fine motor control, and dexterity. Techniques like constraint-induced movement therapy (CIMT), mirror therapy, and graded motor imagery are employed to encourage the use of the affected limb and improve its function (155). OT extends its scope to support community reintegration and vocational pursuits. Therapists assist individuals in transitioning back into community life by providing guidance on accessing community resources, public transportation, and social participation. Vocational rehabilitation focuses on adapting work environments, modifying job tasks, and exploring adaptive technologies to facilitate a return to work or engagement in meaningful productive activities (156, 157).

Occupational therapists address cognitive impairments and sensory deficits that impact daily functioning. Strategies are implemented to improve attention, memory, executive functions, and problem-solving skills necessary for effective task performance. Sensory integration techniques help individuals process sensory information effectively, enhancing their ability to engage in meaningful activities (158). Collaborating with individuals and their families, OTs recommend modifications in the home environment to promote safety, accessibility, and independence. Suggestions for adaptive equipment and assistive devices are provided to facilitate ease in performing tasks and to compensate for functional limitations (159). OT, as an integral part of stroke rehabilitation, focuses on enabling individuals to regain independence and participation in activities essential to their daily lives, fostering a sense of accomplishment and self-sufficiency post-stroke.

6.3 Speech and language therapy

Speech and language therapy (SLT) is a critical component of stroke rehabilitation, encompassing a diverse range of interventions tailored to address communication and swallowing difficulties. These interventions aim to restore functional communication abilities and ensure safe swallowing, significantly impacting an individual’s quality of life post-stroke (39). Speech-language pathologists conduct comprehensive assessments to evaluate the extent of communication impairments and swallowing difficulties post-stroke. These assessments form the basis for individualized treatment plans that address specific deficits and goals (160). SLT interventions for speech articulation aim to improve clarity, intelligibility, and pronunciation. Therapists utilize exercises targeting oral-motor coordination, breath control, and vocal exercises to enhance speech production (161). Techniques such as articulation drills, repetition exercises, and tongue-strengthening exercises aid in improving speech intelligibility (162). Language therapy focuses on improving language comprehension and expression abilities. Therapists employ activities like word-finding exercises, storytelling, and comprehension tasks to enhance language skills. Strategies aim to rebuild vocabulary, sentence construction, and overall language fluency (163).

SLT addresses cognitive-communication deficits resulting from stroke, including impairments in problem-solving, reasoning, and social communication skills. Therapists use tasks such as conversation practice, problem-solving scenarios, and pragmatic language exercises to improve overall communication abilities (164). Swallowing difficulties, known as dysphagia, are common post-stroke. SLT interventions target these issues to ensure safe and efficient swallowing. Therapists employ various exercises to improve muscle coordination and swallowing reflexes (165). Strategies like modified diets, swallowing maneuvers, and postural adjustments are introduced to minimize the risk of aspiration and enhance swallowing function (166). For individuals with severe communication impairments, SLT involves introducing augmentative and alternative communication (AAC) strategies. These may include communication boards, speech-generating devices, or apps that enable individuals to express themselves effectively, compensating for speech difficulties (167). SLT involves educating families and caregivers about communication strategies and techniques to facilitate effective communication with the individual post-stroke. Training in supportive communication approaches fosters better understanding and interaction within the home environment (168). SLT, as a crucial element in stroke rehabilitation, aims to restore communication abilities and ensure safe swallowing, empowering individuals to engage more fully in social interactions and daily activities. A systematic review and meta-analysis by Chiaramonte and Vecchio (169) demonstrated the efficacy of speech rehabilitation in treating dysarthria among stroke survivors. The study observed notable enhancements in essential acoustic parameters, including alternating and sequential motion rates (AMR and SMR) and maximum phonation time, post-speech therapy. These parameters are vital for evaluating and managing dysarthria as they are directly linked to motor control necessary for speech production. Utilizing tools such as the Multi-Dimensional Voice Program (MDVP) and PRAAT software for acoustic analysis enables an objective measurement of improvements in patients’ speech intelligibility and supports targeted therapeutic interventions. Notably, techniques that increase jaw movement, promote louder speech, and expand vowel space area have been found to significantly enhance speech clarity and intelligibility. Incorporating these detailed assessments and targeted interventions into SLT programs can lead to more effective rehabilitation outcomes, thereby improving communication abilities and overall quality of life for stroke survivors (169).

6.4 Cognitive rehabilitation

Cognitive rehabilitation plays a vital role in stroke recovery, focusing on addressing cognitive impairments such as memory deficits, attention issues, and executive function difficulties. This multifaceted approach aims to restore and enhance cognitive abilities, ultimately promoting independence and improving the individual’s quality of life post-stroke (170). Cognitive rehabilitation begins with a comprehensive assessment of cognitive functions post-stroke. Therapists evaluate memory, attention, problem-solving, and executive function to identify specific deficits. Based on this assessment, tailored interventions are designed to address individual needs (88). Therapists employ various memory-enhancing techniques to improve memory recall and retention. These strategies may include mnemonic techniques, spaced-repetition exercises, memory games, and the use of memory aids like calendars or notebooks. By practicing memory recall, individuals can strengthen their ability to retain and retrieve information (171, 172). Interventions targeting attention deficits involve exercises that aim to improve different aspects of attention, including sustained attention, selective attention, and divided attention (173). Therapists utilize tasks requiring sustained focus, attentional drills, and multitasking activities to enhance attentional abilities and reduce distractibility (174). Cognitive rehabilitation addresses deficits in executive functions such as planning, problem-solving, and decision-making. Therapists employ tasks that require organization, time management, and prioritization to enhance cognitive flexibility and executive control. Strategies focus on breaking tasks into manageable steps and implementing problem-solving techniques (175). For individuals experiencing cognitive-communication deficits, therapists introduce strategies that enhance communication effectiveness. Techniques may involve using visual aids, simplifying information, and employing structured communication methods to aid comprehension and expression (176). Interventions extend to practicing functional tasks relevant to daily life. Therapists guide individuals through activities that replicate real-world scenarios, such as meal planning, managing finances, or using public transportation. Task-specific training helps individuals adapt to challenges they might encounter in their daily routines (177). Therapists collaborate with individuals to develop compensatory strategies and routines to cope with cognitive deficits. Additionally, recommendations for environmental modifications, such as organizing living spaces or implementing memory aids, assist individuals in managing daily tasks more effectively (178). Cognitive rehabilitation within stroke rehabilitation focuses on empowering individuals to adapt and compensate for cognitive impairments, enhancing their ability to perform daily activities independently and facilitating a smoother reintegration into their daily routines post-stroke.

6.5 Integration of proprioceptive training, dual-task exercises, and goal-oriented activities in stroke rehabilitation

Stroke rehabilitation aims to restore balance and autonomy in ADL through a variety of targeted exercises. Proprioceptive training, which focuses on improving body position awareness, is crucial for enhancing balance and coordination. Techniques such as balance boards, stability exercises, and sensory re-education are employed to stimulate proprioceptive feedback, promoting better motor control and reducing fall risk (105).

Dual-task exercises, which require patients to perform a motor task while simultaneously engaging in a cognitive task, have shown significant benefits in stroke recovery. These exercises not only improve physical function but also enhance cognitive processing, which is often impaired in stroke survivors. For instance, walking while counting backward or performing a physical task while responding to questions helps integrate cognitive and motor skills, leading to improved overall function (179, 180).

Goal-oriented exercises involve setting specific, measurable, achievable, relevant, and time-bound (SMART) goals that align with the patient’s individual needs and capabilities. These exercises foster motivation and adherence to the rehabilitation program (181). By focusing on personal goals, such as dressing independently or walking a certain distance, patients are more likely to stay engaged and committed to their recovery process. Research has shown that goal-setting significantly improves outcomes in stroke rehabilitation by providing clear targets and enhancing patient autonomy (182).

Incorporating proprioceptive training, dual-task exercises, and goal-oriented exercises into stroke rehabilitation programs offers a comprehensive approach to improving balance and autonomy in ADL. Proprioceptive training enhances sensory feedback and coordination, dual-task exercises improve multitasking abilities and overall functional performance, and goal-oriented exercises ensure that rehabilitation is relevant and motivating for the patient. Together, these interventions address both the physical and cognitive challenges faced by stroke survivors, leading to more effective rehabilitation outcomes. Future research should continue to explore the optimal strategies for integrating these approaches to maximize their benefits for stroke patients.

6.6 Botulinum toxin injection in post-stroke spasticity

Spasticity resulting from strokes poses considerable hurdles to motor function and daily tasks for those affected. Botulinum toxin type A (BoNT-A) injection has become the preferred treatment for localized spasticity, especially among stroke survivors, owing to its established effectiveness, reversible nature, and minimal risk of complications. The treatment of upper motor neuron syndrome, marked by spasticity and excessive muscle activity, requires strategies to alleviate spasticity-related issues and forestall further complications (183). BoNT-A treatment has become a crucial therapeutic approach, especially for localized spasticity in individuals who have had strokes. Research exploring the effectiveness of elevated doses of BoNT-A (exceeding usual guidelines) in post-stroke spasticity has shown encouraging outcomes (184). Despite initial worries about potential systemic side effects, most patients encountered substantial decreases in spasticity without encountering severe issues (185, 186). Although elevated doses of BoNT-A demonstrated effectiveness in spasticity reduction, instances of adverse effects, including contralateral weakness and systemic complications, were observed in certain cases (187). It is essential to carefully assess injection frequency, dilution volumes, and the possibility of antibody formation to minimize the likelihood of adverse events (188). The results highlight the efficacy of elevated doses of BoNT-A in managing post-stroke spasticity, especially in scenarios involving significant muscle hypertonia (189). Nonetheless, meticulous patient selection, accurate injection methodologies, and vigilant monitoring for adverse effects are crucial to enhancing treatment efficacy and upholding patient well-being. Research findings indicate the potential benefits of increased BoNT-A doses in mitigating spasticity and enhancing functional recovery among stroke survivors (190). Additional investigations are needed to clarify the most effective dosing regimens, improve injection methodologies, and assess the long-term safety and effectiveness in broader patient populations.

7 Technological advances in rehabilitation

Advancements in technology have revolutionized stroke rehabilitation, and one prominent innovation is the integration of robotics. Robotic-assisted rehabilitation systems offer a promising avenue to enhance motor recovery, functional outcomes, and patient engagement in stroke rehabilitation.

7.1 Robotics in stroke rehabilitation

Technological advancements, particularly in robotics, have dramatically transformed the landscape of stroke rehabilitation, ushering in innovative approaches to enhance motor recovery, functional abilities, and overall quality of life for individuals affected by stroke (191). In upper limb rehabilitation, robotics play a pivotal role by offering precise and intensive therapy through devices like exoskeletons and end-effector robots. These devices provide tailored exercises, guiding patients through movements aimed at improving motor control, strength, and the range of motion in affected arms and hands. This focused approach allows therapists to customize rehabilitation plans based on specific impairments, fostering more targeted and impactful interventions (192, 193). Gait training, crucial for restoring walking abilities post-stroke, benefits significantly from robotic systems. Exoskeletons and treadmill-based robots assist individuals by providing mechanical support and guidance during walking exercises (194). These devices help in relearning proper gait patterns, correcting asymmetries, and improving balance and stride length. The real-time feedback offered by these systems enhances motor learning, aiding in the retraining of gait patterns (195). One of the significant advantages of robotic-assisted therapy lies in its ability to offer task-specific training. Therapists can replicate real-life activities through these systems, allowing stroke survivors to practice movements required for daily tasks. This tailored approach fosters neuroplasticity, encouraging the brain to adapt and rewire neural connections to facilitate improved movement patterns (196).

Additionally, these robotic systems provide therapists with real-time feedback and monitoring capabilities. They track performance metrics such as range of motion, force exertion, and movement accuracy. This data empowers therapists to assess progress accurately, modify therapy intensity, and customize treatment plans according to individual responses, ensuring optimized rehabilitation outcomes (197). The advent of portable and user-friendly robotic devices has extended the reach of rehabilitation beyond clinical settings. Home-based rehabilitation using these systems enables stroke survivors to continue their therapy under professional guidance. This continuity in therapy enhances accessibility and adherence to treatment, contributing to sustained recovery (198). Furthermore, the integration of adaptive algorithms powered by machine learning and artificial intelligence tailors rehabilitation interventions to individual needs. These algorithms analyze patient responses in real-time, allowing for adjustments in therapy parameters to maximize the effectiveness of rehabilitation protocols (199).

The interactive nature of robotic technologies in stroke rehabilitation engages patients through gamified exercises and interactive interfaces. This enhanced engagement motivates individuals to actively participate in therapy sessions, promoting adherence and ultimately contributing to improved outcomes and functional recovery (200). However, it is essential to acknowledge certain limitations associated with the use of robotics in rehabilitation. While robotics offer precise and intensive therapy, some challenges need to be addressed. One such limitation is the cost involved in acquiring and maintaining robotic systems, which may pose financial barriers to widespread adoption. Moreover, in certain usage protocols, such as assistive modes, there is a risk of decreased effort or attention from patients during training sessions. This decrease in engagement could potentially impact the effectiveness of rehabilitation outcomes. Therefore, it is crucial for therapists to carefully monitor patient participation and motivation levels during robotic-assisted therapy to ensure optimal results (201–204). Despite these challenges, the benefits of robotic systems in stroke rehabilitation are considerable. Overall, while acknowledging the limitations, robotics in stroke rehabilitation represent a promising frontier in enhancing motor recovery and functional independence. These advancements pave the way for more personalized, engaging, and effective interventions, offering hope for improved rehabilitation outcomes for stroke survivors.

7.2 Virtual reality and augmented reality applications

Technological advancements in virtual reality (VR) and augmented reality (AR) have profoundly impacted the landscape of stroke rehabilitation, offering immersive, interactive, and personalized interventions that significantly contribute to the recovery process (205).

Within stroke rehabilitation, VR therapy creates computer-generated environments that simulate real-life scenarios. These environments immerse patients in interactive exercises tailored to their specific rehabilitation needs. VR-based tasks focus on improving motor functions, cognitive abilities, and balance (206). For instance, individuals can engage in upper limb exercises or practice balance-related activities within a controlled virtual setting. By replicating real-world scenarios, VR therapy stimulates neuroplasticity and motor learning, aiding in functional recovery (207).

Augmented reality (AR) enhances rehabilitation by overlaying digital information onto the real world. AR applications provide real-time visual cues or instructions during exercises, aiding stroke survivors in performing movements accurately and safely (208). For example, a stroke survivor practicing arm movements may receive visual guidance overlaid onto their affected limb, promoting correct positioning and motion execution. AR enhances spatial awareness and motor planning, facilitating better task performance (209).

In cognitive rehabilitation, VR and AR interventions extend beyond physical movements to address deficits in attention, memory, and executive function. Gamified tasks and simulations challenge cognitive skills, stimulating neural adaptation and functional improvement (210). These technologies offer engaging and interactive cognitive exercises, fostering mental stimulation and promoting cognitive recovery post-stroke (211). Moreover, VR and AR applications allow stroke survivors to simulate functional tasks in a controlled virtual environment. Patients can practice activities such as cooking, shopping, or navigating public spaces within the safety of a virtual setting. These simulations offer a platform for individuals to relearn and regain confidence in performing daily tasks, preparing them for real-life scenarios and promoting independence (212, 213).

However, it is crucial to recognize that the applicability of VR therapy may vary among stroke survivors. Factors such as cognitive abilities, physical impairments, and individual preferences need to be considered when determining the suitability of VR interventions for a particular patient. While VR therapy holds tremendous potential for many individuals, it may not be suitable for everyone. Therefore, a comprehensive assessment on a case-by-case basis is essential to ensure that VR therapy is appropriately tailored to meet the unique needs and capabilities of each stroke survivor (214, 215).

Despite the need for individualized assessment, VR and AR applications have demonstrated significant potential to enhance motivation and engagement during rehabilitation sessions. The immersive nature of these interventions captures individuals’ attention, encouraging active participation in therapy. The interactive and enjoyable aspects of VR and AR contribute to increased adherence and consistency in rehabilitation exercises, positively impacting recovery outcomes. Overall, while recognizing the transformative impact of VR and AR technologies on stroke rehabilitation, it is essential to assess their applicability on a case-by-case basis. By conducting individualized assessments and tailoring interventions to meet the unique needs of each patient, therapists can maximize the effectiveness of VR and AR applications in promoting motor, cognitive, and functional recovery for stroke survivors (56, 216, 217).

7.3 Neurostimulation techniques

Technological advancements in neurostimulation techniques have emerged as promising interventions within the realm of stroke rehabilitation, seeking to modulate neural activity, induce neuroplastic changes, and ultimately enhance recovery outcomes for individuals impacted by stroke.

7.3.1 Transcranial magnetic stimulation

Transcranial magnetic stimulation (TMS) stands as a non-invasive neurostimulation technique used in stroke rehabilitation to modulate cortical excitability. It involves generating brief magnetic pulses through a coil placed over specific areas of the scalp, creating an electromagnetic field that penetrates the skull and influences neural activity in the underlying brain regions (218, 219). In stroke rehabilitation, repetitive TMS (rTMS) aims to induce changes in cortical excitability by delivering repeated magnetic pulses to targeted brain areas associated with motor function. By adjusting the frequency, intensity, and duration of these pulses, clinicians can modulate neural activity and promote neuroplasticity (220). The primary goal of TMS in stroke recovery is to facilitate motor relearning and functional improvement in affected limbs. By targeting specific cortical regions related to motor control and movement execution, rTMS aims to promote neural reorganization, facilitating the formation of new neural connections or enhancing existing ones. This process supports motor learning and reacquisition of motor skills affected by stroke-induced impairments (221, 222). Moreover, TMS is utilized to assess and map cortical excitability and the integrity of motor pathways in stroke survivors. By evaluating the response of motor cortices to TMS pulses, clinicians gain insights into the extent of cortical reorganization, helping to tailor and optimize rehabilitation strategies for individual patients (223). TMS holds promise as an adjunctive therapy in stroke rehabilitation, potentially enhancing outcomes by promoting neuroplastic changes, aiding in motor recovery, and improving functional abilities in affected individuals. Continued research and refinement of TMS protocols offer significant potential for optimizing its application in stroke rehabilitation, contributing to improved recovery and quality of life for stroke survivors.

7.3.2 Transcranial direct current stimulation

Transcranial direct current stimulation (tDCS) is a non-invasive neurostimulation technique used in stroke rehabilitation to modulate cortical excitability. It involves delivering low-intensity electrical currents via electrodes placed on the scalp, aiming to influence neuronal activity in targeted brain areas (224). In the context of stroke recovery, tDCS seeks to promote neuroplastic changes by modulating cortical excitability in regions affected by the stroke-induced impairments (225). By applying a continuous low electrical current to specific cortical areas, tDCS aims to either enhance or inhibit neuronal firing patterns, ultimately influencing the brain’s ability to reorganize and adapt (226). The primary objective of tDCS in stroke rehabilitation is to facilitate neuroplasticity and enhance motor recovery. By modulating cortical excitability in motor-related brain regions, tDCS aims to promote the reorganization of neural networks, aiding in motor relearning and the restoration of motor function in affected limbs (227). Additionally, tDCS protocols can vary, employing different electrode montages and stimulation parameters to target specific cortical areas associated with motor function. The modulation of cortical excitability using tDCS may facilitate motor learning processes and the reacquisition of motor skills impacted by stroke-related impairments (228). Moreover, tDCS is considered a safe and well-tolerated technique, often used in conjunction with other rehabilitation approaches. Its non-invasive nature and potential to induce neuroplastic changes make it an attractive adjunctive therapy in stroke rehabilitation (229). Continued research into optimal tDCS parameters, such as electrode placement, stimulation duration, and intensity, holds promise for refining its application in stroke recovery. As the understanding of tDCS mechanisms grows, it offers substantial potential to enhance motor recovery outcomes and improve functional abilities in stroke survivors.

7.3.3 Functional electrical stimulation

Functional electrical stimulation (FES) is a rehabilitative technique employed in stroke rehabilitation to activate paralyzed or weakened muscles by delivering controlled electrical impulses to peripheral nerves or muscle groups. It aims to restore voluntary movement, improve muscle strength, and facilitate motor relearning in affected limbs (229). In stroke survivors experiencing motor impairments, FES utilizes electrodes placed on the skin’s surface or implanted directly on muscles to deliver electrical stimulation (230). This stimulation generates muscle contractions, facilitating movements that may be difficult or impossible due to stroke-induced paralysis or weakness (231). The primary goal of FES in stroke rehabilitation is to support motor recovery and functional improvement. By stimulating targeted muscles or muscle groups, FES assists in muscle strengthening, preventing muscle atrophy, and enhancing muscle performance. This electrical stimulation aids in restoring voluntary movement patterns, facilitating motor control, and promoting the relearning of motor skills necessary for activities of daily living (232). FES applications can vary based on the specific rehabilitation goals and affected muscle groups. For instance, in upper limb rehabilitation, FES may target muscles involved in hand grasping or arm movement, aiding in functional tasks such as reaching or grasping objects. In lower limb rehabilitation, FES can assist with walking by stimulating leg muscles to facilitate stepping movements (233).

Furthermore, FES can be integrated into functional tasks or exercises, enabling stroke survivors to actively engage in movements with the assistance of electrical stimulation. This integration of FES with rehabilitation exercises promotes motor learning, supports task-specific training, and enhances functional recovery (234).

However, it is important to acknowledge that various studies have reported concerns regarding the discomfort associated with wearing FES instruments for prolonged periods. Additionally, prolonged FES usage may lead to muscle fatigue and decrease responsiveness, potentially affecting its effectiveness in stroke rehabilitation. Muscle fatigue presents a significant challenge associated with FES, imposing limitations on therapy duration and compromising its potential benefits (235). Furthermore, the effectiveness of conventional waveform modalities varies. These conventional waveforms lack guidance from neural movement control mechanisms, potentially reducing their efficacy in restoring movement (236, 237). Despite these concerns, strategies can be implemented to mitigate these drawbacks. For instance, proper electrode placement and adjustment of stimulation parameters can help optimize comfort and minimize muscle fatigue. Moreover, incorporating regular breaks during FES sessions and integrating FES with other rehabilitation modalities can help prevent overuse-related issues and enhance overall treatment outcomes. Recently, there has been interest in utilizing muscle synergy-driven FES waveforms, which have demonstrated effectiveness in restoring muscle function among stroke patients (238).

Furthermore, FES can be integrated into functional tasks or exercises, enabling stroke survivors to actively engage in movements with the assistance of electrical stimulation. This integration of FES with rehabilitation exercises promotes motor learning, supports task-specific training, and enhances functional recovery (234). The use of FES in stroke rehabilitation is well-established and considered a safe and effective adjunctive therapy. It complements other rehabilitation strategies, contributing to comprehensive treatment plans aimed at improving motor function and restoring independence in daily activities (239). Continued advancements in FES technology and its integration with other rehabilitation approaches hold significant promise for optimizing motor recovery outcomes, enhancing functional abilities, and improving the quality of life for individuals affected by stroke.

7.3.4 Implantable devices (brain-computer interfaces)

Brain-computer interfaces (BCIs) represent cutting-edge implantable devices used in stroke rehabilitation to establish a direct communication link between the brain and external devices, aiming to restore motor function and enhance functional independence (240). In the context of stroke recovery, BCIs decode neural signals from the brain, allowing individuals to control external devices or prosthetics directly through their thoughts (241). This technology bypasses damaged neural pathways, enabling stroke survivors with severe motor impairments to interact with their environment or perform tasks that were previously compromised due to stroke-induced limitations (242). BCIs typically involve surgically implanting electrodes or sensors directly into the brain’s motor cortex or on the surface of the brain. These electrodes detect neural signals related to motor intentions or commands (243, 244). Through advanced algorithms and signal processing techniques, these neural signals are decoded into commands that can control external devices, such as robotic arms, computer interfaces, or assistive technology (245). The primary objective of BCIs in stroke rehabilitation is to restore motor function and improve independence in individuals with severe motor impairments (246). By interpreting neural signals and translating them into control commands for external devices, BCIs enable individuals to execute movements or interact with their environment based on their intention, bypassing the physical limitations caused by stroke-induced motor deficits (245). BCIs hold immense potential in stroke recovery by providing individuals with a means to regain control over their movements and perform tasks that were previously challenging or impossible (245). This technology aims to enhance functional abilities, promote independence in daily activities, and improve the overall quality of life for stroke survivors with severe motor impairments. Ongoing developments in BCI technology, such as improving signal accuracy, enhancing decoding algorithms, and refining implantation techniques, offer promising prospects for further optimizing their application in stroke rehabilitation. As research progresses, BCIs hold substantial promise for revolutionizing rehabilitation practices and empowering stroke survivors to regain functional abilities and independence.

8 Challenges and opportunities in stroke rehabilitation

8.1 Lack of standardized timing for stroke rehabilitation initiation

One of the challenges in stroke rehabilitation is the absence of standardized guidelines for the timing of initiating rehabilitation programs. The timing of rehabilitation can significantly influence recovery outcomes, yet there is considerable variability in clinical practice regarding when to start specific rehabilitation interventions.

The initiation of rehabilitation can vary based on several factors, including the type of stroke, the severity of the stroke, patient comorbidities, and the specific rehabilitation protocols being used. Some rehabilitation programs advocate for early initiation, typically within the first few days after a stroke, while others may recommend waiting until the patient is more medically stable. Early rehabilitation, which often begins within the first 24 to 48 h after stroke onset, aims to capitalize on the brain’s heightened plasticity during the acute phase. This approach can help prevent complications such as muscle atrophy and joint contractures and can improve functional outcomes (101). However, it requires careful monitoring to avoid overexertion and other risks. In contrast, some protocols suggest delaying the start of intensive rehabilitation until the subacute phase, typically 1 to 2 weeks post-stroke. This delay allows for better medical stabilization and assessment of the patient’s overall condition (247). Furthermore, the lack of standardized timing affects various rehabilitation programs differently. Physical therapy and early mobilization are often encouraged, but the intensity and type of exercises may vary based on the patient’s initial response and stability (123). The timing for starting occupational therapy can depend on the patient’s ability to participate in ADLs and cognitive readiness (248). Moreover, the initiation of speech and language therapy may be contingent on the patient’s neurological status and ability to engage in communication exercises (101). The variability in the initiation of rehabilitation programs underscores the need for standardized guidelines that can provide a framework for clinicians. Developing such guidelines would involve comprehensive research to determine the optimal timing for different rehabilitation interventions. Additionally, these guidelines should consider individual patient factors, such as age, comorbidities, and stroke severity. Collaboration among healthcare providers is also essential to establish a consensus on best practices. Thus, Addressing the lack of standardized timing for stroke rehabilitation initiation is crucial for improving patient outcomes. Establishing evidence-based guidelines can help ensure that patients receive timely and effective rehabilitation, tailored to their specific needs and conditions. Future research should focus on identifying the most effective timelines for various rehabilitation interventions to create a standardized approach that can be widely adopted in clinical practice.

8.2 Access to rehabilitation services

Access to comprehensive rehabilitation services remains a substantial challenge in stroke care. Geographical disparities, especially in rural or remote areas, often limit access to specialized rehabilitation centers and skilled healthcare professionals (249). Moreover, socioeconomic factors and financial constraints can impede access to rehabilitation, particularly for individuals with limited insurance coverage or financial resources (249). Addressing these challenges requires innovative approaches, such as telemedicine and mobile health solutions, to extend rehabilitation services beyond traditional clinical settings (250). Tele-rehabilitation programs, leveraging technology for remote assessment and therapy delivery, have shown promise in improving access to rehabilitation for underserved populations (251). Initiatives promoting community-based rehabilitation and partnerships with local healthcare providers play a crucial role in bridging the access gap, and ensuring equitable delivery of stroke rehabilitation services (252).

8.3 Stroke-related infections during hospitalization

Stroke patients are particularly vulnerable to infections during their hospital stay due to a combination of factors such as immobility, impaired swallowing (dysphagia), weakened immune function, and the need for invasive procedures (253). These infections can significantly impact patient outcomes, prolong hospitalization, and increase healthcare costs. The most common infections encountered during hospitalization of stroke patients include pneumonia, urinary tract infections (UTIs), and bloodstream infections (254).

Pneumonia is one of the most frequent complications in stroke patients, particularly those with dysphagia, which is difficulty in swallowing. Aspiration pneumonia occurs when food, liquid, or saliva is inhaled into the lungs instead of being swallowed into the esophagus. This risk is heightened in patients who have had a stroke because the neurological impairment can affect the muscles involved in swallowing (255). Pneumonia in stroke patients can lead to severe respiratory issues and prolong recovery times (256). Preventative measures include early assessment and management of swallowing difficulties, the use of thickened liquids, and positioning strategies during feeding to reduce the risk of aspiration. Urinary tract infections (UTIs) are another common complication in stroke patients. Factors contributing to UTIs include the use of urinary catheters, which are often necessary due to incontinence or mobility issues post-stroke. Catheter-associated urinary tract infections (CAUTIs) are a significant concern because they can lead to more serious systemic infections, including sepsis (257). Preventing UTIs involves careful catheter care, minimizing catheter use, and removing catheters as soon as possible. Hydration, proper hygiene, and regular monitoring for signs of infection are also crucial. Bloodstream infections, including central line-associated bloodstream infections (CLABSIs), can occur in stroke patients, especially those who require intravenous therapy or other invasive procedures. These infections can escalate into sepsis, a life-threatening response to infection, further complicating the patient’s recovery (258). To prevent bloodstream infections, healthcare providers must adhere to strict aseptic techniques during the insertion and maintenance of central lines and other invasive devices. Regular monitoring and prompt treatment of any signs of infection are essential.

Preventing infections in stroke patients requires a comprehensive and proactive approach. Encouraging early movement and physical therapy to reduce the risks associated with prolonged immobility, such as pneumonia and pressure ulcers. Mobilization helps improve circulation and lung function, reducing the likelihood of infections (256). Performing timely evaluations of swallowing ability to identify patients at risk for aspiration pneumonia. Interventions might include dietary modifications, swallowing exercises, and the use of thickened liquids (255). Implementing protocols to ensure the proper use and maintenance of urinary catheters. This includes adhering to guidelines for catheter insertion, ensuring cleanliness, and removing catheters as soon as they are no longer necessary to reduce the risk of CAUTIs (257). Promoting stringent hand hygiene practices among healthcare providers and visitors to minimize the transmission of pathogens in the hospital environment (258). Using antibiotics judiciously to prevent the development of antibiotic-resistant bacteria and reduce the risk of adverse reactions. This involves selecting the appropriate antibiotic and duration of treatment based on the specific infection and patient condition (257). Infections are a significant risk for stroke patients during hospitalization, contributing to higher morbidity and mortality rates. By implementing targeted preventive measures and closely monitoring patients, healthcare providers can reduce the incidence of infections and improve overall outcomes. Effective infection control practices are essential to ensure the best possible recovery for stroke patients.

8.4 Tailoring rehabilitation to individual needs

The heterogeneity of stroke-related impairments and the diverse needs of stroke survivors pose challenges in tailoring rehabilitation interventions. Standardized approaches may not adequately address the unique complexities of everyone’s recovery journey (47). Personalized rehabilitation plans that consider specific impairments, functional goals, cognitive abilities, and psychosocial factors are essential. Integrating advanced technologies, such as artificial intelligence (AI) and machine learning, into rehabilitation protocols enables the customization of interventions based on real-time patient data and responses (199, 259). Wearable devices and sensor-based technologies provide objective measures, facilitating the monitoring of progress and the adaptation of rehabilitation strategies according to individual needs (260). Establishing a framework for personalized rehabilitation that combines clinical expertise with technological advancements holds significant potential in optimizing outcomes for stroke survivors.

8.5 Interdisciplinary collaboration and training

Effective stroke rehabilitation requires seamless collaboration among diverse healthcare professionals, each contributing specialized expertise. However, achieving interdisciplinary collaboration poses challenges in terms of communication, coordination, and shared decision-making among multidisciplinary teams (261). Enhancing collaboration necessitates specialized training programs that emphasize interdisciplinary skills, fostering a shared understanding of stroke rehabilitation across disciplines. Training initiatives that promote team-based care, communication strategies, and shared decision-making frameworks are pivotal in overcoming barriers to collaboration (262). Moreover, establishing interprofessional education programs during healthcare training cultivates a collaborative mindset among future healthcare providers. Encouraging interdisciplinary rounds, case conferences, and joint care planning sessions facilitate cohesive care delivery, optimizing rehabilitation outcomes for stroke survivors (262).

In navigating these challenges, there exist promising opportunities to revolutionize stroke rehabilitation. By addressing access disparities, individualizing care, and fostering interdisciplinary collaboration, the stroke rehabilitation landscape can evolve to provide more comprehensive, patient-centered, and effective care for stroke survivors. Continued innovation, research, and collaboration across healthcare sectors hold the potential to significantly enhance stroke rehabilitation outcomes in the future.

9 Future directions in stroke rehabilitation

9.1 Personalized rehabilitation approaches

The future of stroke rehabilitation lies in advancing personalized approaches tailored to the specific needs and characteristics of each individual. Embracing innovative technologies, such as artificial intelligence and machine learning algorithms, holds immense promise in developing more sophisticated and adaptive rehabilitation protocols (19). These technologies can analyze vast datasets, including genomic, neuroimaging, and behavioral information, to create individualized treatment plans. Moreover, exploring the integration of virtual reality, augmented reality, and gamification strategies can further enhance engagement and motivation in personalized rehabilitation programs (263). The future direction emphasizes a shift towards precision medicine in stroke rehabilitation, catering treatments uniquely to each patient’s biological, cognitive, and psychosocial profile.

9.2 Integrating neuroplasticity concepts

Understanding and leveraging neuroplasticity principles are at the forefront of future stroke rehabilitation strategies. Emphasizing interventions that harness the brain’s inherent ability to reorganize and adapt following injury is crucial. Innovative therapeutic approaches, such as non-invasive brain stimulation techniques (e.g., transcranial magnetic stimulation, transcranial direct current stimulation), target neuroplastic changes in the brain (264). Additionally, combining traditional rehabilitation with novel strategies, such as enriched environments, sensory stimulation, and task-specific training, promotes neuroplasticity and enhances functional recovery. The future direction focuses on optimizing interventions that exploit neuroplasticity mechanisms to facilitate greater and more sustained recovery in stroke survivors.

9.3 Advancements in assistive technologies

The future landscape of stroke rehabilitation is intertwined with rapid advancements in assistive technologies aimed at augmenting functional abilities and improving independence. Cutting-edge innovations in robotics, exoskeletons, and wearable devices offer promising avenues to enhance motor recovery and support activities of daily living. Advancements in BCIs aim to seamlessly integrate with the brain’s neural signals, allowing for more intuitive control of assistive devices (265). Moreover, developments in sensor technology and smart home systems enable a more connected and supportive environment for stroke survivors. The future direction underscores the integration of these assistive technologies into rehabilitation programs, aiming to empower stroke survivors, enhance their autonomy, and improve overall quality of life. These future directions herald a paradigm shift in stroke rehabilitation, focusing on individualization, neuroplasticity-driven approaches, and the integration of innovative assistive technologies. Continued research, collaboration, and technological advancements hold substantial promise in revolutionizing stroke rehabilitation practices, ultimately improving outcomes and quality of life for individuals affected by stroke.

10 Conclusion

In conclusion, stroke rehabilitation represents a dynamic and evolving field that demands multidimensional approaches to address the diverse needs of stroke survivors. Throughout this manuscript, we have traversed various aspects of stroke rehabilitation, acknowledging the critical role of early identification, personalized interventions, and interdisciplinary collaboration in optimizing outcomes. While challenges persist, including access barriers and the complexity of tailoring interventions, the future of stroke rehabilitation appears promising. Future directions emphasizing personalized approaches, leveraging neuroplasticity concepts, and integrating cutting-edge assistive technologies offer new horizons in stroke care. By harnessing these opportunities and continuing to innovate, the rehabilitation community can significantly enhance recovery outcomes, foster greater independence, and ultimately improve the lives of those affected by stroke. This manuscript serves as a roadmap for future research, policy development, and clinical practice, underscoring the imperative of advancing stroke rehabilitation to meet the evolving needs of stroke survivors globally.

Author contributions

XL: Data curation, Investigation, Methodology, Resources, Software, Validation, Writing – original draft. YH: Data curation, Investigation, Methodology, Project administration, Resources, Software, Validation, Writing – original draft. DW: Data curation, Supervision, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Writing – original draft. MR: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Lindsay, MP, Norrving, B, Sacco, RL, Brainin, M, Hacke, W, Martins, S, et al. World Stroke Organization (WSO): global stroke fact sheet 2019. Int J Stroke. (2019) 14:806–17. doi: 10.1177/1747493019881353

Crossref Full Text | Google Scholar

2. Feigin, VL, Stark, BA, Johnson, CO, Roth, GA, Bisignano, C, Abady, GG, et al. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. (2021) 20:795–820. doi: 10.1016/S1474-4422(21)00252-0

PubMed Abstract | Crossref Full Text | Google Scholar

3. Owolabi, MO, Thrift, AG, Mahal, A, Ishida, M, Martins, S, Johnson, WD, et al. Primary stroke prevention worldwide: translating evidence into action. Lancet Public Health. (2022) 7:e74–85. doi: 10.1016/S2468-2667(21)00230-9

PubMed Abstract | Crossref Full Text | Google Scholar

4. Feigin, VL, Brainin, M, Norrving, B, Martins, S, Sacco, RL, Hacke, W, et al. World Stroke Organization (WSO): global stroke fact sheet 2022. Int J Stroke. (2022) 17:18–29. doi: 10.1177/17474930211065917

PubMed Abstract | Crossref Full Text | Google Scholar

5. González-Santos, J, Rodríguez-Fernández, P, Pardo-Hernández, R, González-Bernal, JJ, Fernández-Solana, J, and Santamaría-Peláez, M. A cross-sectional study: determining factors of functional independence and quality of life of patients one month after having suffered a stroke. Int J Environ Res Public Health. (2023) 20:995. doi: 10.3390/ijerph20020995

PubMed Abstract | Crossref Full Text | Google Scholar

6. Freytes, IM, Sullivan, M, Schmitzberger, M, LeLaurin, J, Orozco, T, Eliazar-Macke, N, et al. Types of stroke-related deficits and their impact on family caregiver’s depressive symptoms, burden, and quality of life. Disabil Health J. (2021) 14:101019. doi: 10.1016/j.dhjo.2020.101019

PubMed Abstract | Crossref Full Text | Google Scholar

7. Qureshi, A, Swain, N, Aldabe, D, and Hale, L. Exploring challenges affecting resilience in carers of stroke survivors: a qualitative descriptive study. Disabil Rehabil. (2023) 45:3696–704. doi: 10.1080/09638288.2022.2135774

PubMed Abstract | Crossref Full Text | Google Scholar

8. Li, S. Stroke recovery is a journey: prediction and potentials of motor recovery after a stroke from a practical perspective. Life. (2023) 13:2061. doi: 10.3390/life13102061

PubMed Abstract | Crossref Full Text | Google Scholar

9. Strilciuc, S, Grad, DA, Radu, C, Chira, D, Stan, A, Ungureanu, M, et al. The economic burden of stroke: a systematic review of cost of illness studies. J Med Life. (2021) 14:606–19. doi: 10.25122/jml-2021-0361

PubMed Abstract | Crossref Full Text | Google Scholar

10. Sun, YA, Phan, H, Buscot, M-J, Thrift, AG, and Gall, S. Area-level and individual-level socio-economic differences in health-related quality of life trajectories: results from a 10-year longitudinal stroke study. J Stroke Cerebrovasc Dis. (2023) 32:107188. doi: 10.1016/j.jstrokecerebrovasdis.2023.107188

PubMed Abstract | Crossref Full Text | Google Scholar

11. Pandian, JD, Kalkonde, Y, Sebastian, IA, Felix, C, Urimubenshi, G, and Bosch, J. Stroke systems of care in low-income and middle-income countries: challenges and opportunities. Lancet. (2020) 396:1443–51. doi: 10.1016/S0140-6736(20)31374-X

PubMed Abstract | Crossref Full Text | Google Scholar

12. Chimatiro, GL, and Rhoda, AJ. Scoping review of acute stroke care management and rehabilitation in low and middle-income countries. BMC Health Serv Res. (2019) 19:789. doi: 10.1186/s12913-019-4654-4

Crossref Full Text | Google Scholar

13. Owolabi, MO, Thrift, AG, Martins, S, Johnson, W, Pandian, J, Abd-Allah, F, et al. The state of stroke services across the globe: report of World Stroke Organization-World Health Organization surveys. Int J Stroke. (2021) 16:889–901. doi: 10.1177/17474930211019568

PubMed Abstract | Crossref Full Text | Google Scholar

14. Winstein, CJ, Stein, J, Arena, R, Bates, B, Cherney, LR, Cramer, SC, et al. Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. (2016) 47:e98–e169. doi: 10.1161/STR.0000000000000098

PubMed Abstract | Crossref Full Text | Google Scholar

15. Goldstein, LB, Bushnell, CD, Adams, RJ, Appel, LJ, Braun, LT, Chaturvedi, S, et al. Guidelines for the primary prevention of stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. (2011) 42:517–84. doi: 10.1161/STR.0b013e3181fcb238

Crossref Full Text | Google Scholar

16. Young, JA, and Tolentino, M. Stroke evaluation and treatment. Top Stroke Rehabil. (2009) 16:389–410. doi: 10.1310/tsr1606-389

Crossref Full Text | Google Scholar

17. Meyer, BC, Hemmen, TM, Jackson, CM, and Lyden, PD. Modified National Institutes of Health Stroke Scale for use in stroke clinical trials: prospective reliability and validity. Stroke. (2002) 33:1261–6. doi: 10.1161/01.STR.0000015625.87603.A7

Crossref Full Text | Google Scholar

18. Ringleb, P, Schellinger, P, Schranz, C, and Hacke, W. Thrombolytic therapy within 3 to 6 hours after onset of ischemic stroke: useful or harmful? Stroke. (2002) 33:1437–41. doi: 10.1161/01.STR.0000015555.21285.DB

Crossref Full Text | Google Scholar

19. Saceleanu, VM, Toader, C, Ples, H, Covache-Busuioc, R-A, Costin, HP, Bratu, B-G, et al. Integrative approaches in acute ischemic stroke: from symptom recognition to future innovations. Biomedicines. (2023) 11:2617. doi: 10.3390/biomedicines11102617

PubMed Abstract | Crossref Full Text | Google Scholar

20. Di Carli, MF, Geva, T, and Davidoff, R. The future of cardiovascular imaging. Circulation. (2016) 133:2640–61. doi: 10.1161/CIRCULATIONAHA.116.023511

Crossref Full Text | Google Scholar

21. Vilela, P, and Rowley, HA. Brain ischemia: CT and MRI techniques in acute ischemic stroke. Eur J Radiol. (2017) 96:162–72. doi: 10.1016/j.ejrad.2017.08.014

Crossref Full Text | Google Scholar

22. Wang, K, Shou, Q, Ma, SJ, Liebeskind, D, Qiao, XJ, Saver, J, et al. Deep learning detection of penumbral tissue on arterial spin labeling in stroke. Stroke. (2020) 51:489–97. doi: 10.1161/STROKEAHA.119.027457

PubMed Abstract | Crossref Full Text | Google Scholar

23. Tarpley, J, Franc, D, Tansy, AP, and Liebeskind, DS. Use of perfusion imaging and other imaging techniques to assess risks/benefits of acute stroke interventions. Curr Atheroscler Rep. (2013) 15:336. doi: 10.1007/s11883-013-0336-6

Crossref Full Text | Google Scholar

24. Catanese, L, Tarsia, J, and Fisher, M. Acute ischemic stroke therapy overview. Circ Res. (2017) 120:541–58. doi: 10.1161/CIRCRESAHA.116.309278

Crossref Full Text | Google Scholar

25. Abou-Chebl, A. Management of acute ischemic stroke. Curr Cardiol Rep. (2013) 15:348. doi: 10.1007/s11886-013-0348-4

Crossref Full Text | Google Scholar

26. Gralla, J, Brekenfeld, C, Mordasini, P, and Schroth, G. Mechanical thrombolysis and stenting in acute ischemic stroke. Stroke. (2012) 43:280–5. doi: 10.1161/STROKEAHA.111.626903

Crossref Full Text | Google Scholar

27. Campbell, BC, De Silva, DA, Macleod, MR, Coutts, SB, Schwamm, LH, Davis, SM, et al. Ischaemic stroke. Nat Rev Dis Primers. (2019) 5:70. doi: 10.1038/s41572-019-0118-8

Crossref Full Text | Google Scholar

28. Struffert, T, Deuerling-Zheng, Y, Kloska, S, Engelhorn, T, Strother, C, Kalender, W, et al. Flat detector CT in the evaluation of brain parenchyma, intracranial vasculature, and cerebral blood volume: a pilot study in patients with acute symptoms of cerebral ischemia. Am J Neuroradiol. (2010) 31:1462–9. doi: 10.3174/ajnr.A2083

PubMed Abstract | Crossref Full Text | Google Scholar

29. Roach, ES, Golomb, MR, Adams, R, Biller, J, Daniels, S, Deveber, G, et al. Management of stroke in infants and children: a scientific statement from a Special Writing Group of the American Heart Association Stroke Council and the Council on Cardiovascular Disease in the Young. Stroke. (2008) 39:2644–91. doi: 10.1161/STROKEAHA.108.189696

Crossref Full Text | Google Scholar

30. Qazi, E, Al-Ajlan, FS, Najm, M, and Menon, BK. The role of vascular imaging in the initial assessment of patients with acute ischemic stroke. Curr Neurol Neurosci Rep. (2016) 16:32. doi: 10.1007/s11910-016-0632-y

Crossref Full Text | Google Scholar

31. Willie, C, Colino, F, Bailey, D, Tzeng, Y, Binsted, G, Jones, L, et al. Utility of transcranial Doppler ultrasound for the integrative assessment of cerebrovascular function. J Neurosci Methods. (2011) 196:221–37. doi: 10.1016/j.jneumeth.2011.01.011

PubMed Abstract | Crossref Full Text | Google Scholar

32. Wechsler, LR, Demaerschalk, BM, Schwamm, LH, Adeoye, OM, Audebert, HJ, Fanale, CV, et al. Telemedicine quality and outcomes in stroke: a scientific statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. (2017) 48:e3–e25. doi: 10.1161/STR.0000000000000114

Crossref Full Text | Google Scholar

33. Yedavalli, VS, Tong, E, Martin, D, Yeom, KW, and Forkert, ND. Artificial intelligence in stroke imaging: current and future perspectives. Clin Imaging. (2021) 69:246–54. doi: 10.1016/j.clinimag.2020.09.005

PubMed Abstract | Crossref Full Text | Google Scholar

34. Lukić, S, Ćojbasić, Ž, Perić, Z, Milošević, Z, Spasić, M, Pavlović, V, et al. Artificial neural networks based early clinical prediction of mortality after spontaneous intracerebral hemorrhage. Acta Neurol Belg. (2012) 112:375–82. doi: 10.1007/s13760-012-0093-2

PubMed Abstract | Crossref Full Text | Google Scholar

35. Wang, H-L, Hsu, W-Y, Lee, M-H, Weng, H-H, Chang, S-W, Yang, J-T, et al. Automatic machine-learning-based outcome prediction in patients with primary intracerebral hemorrhage. Front Neurol. (2019) 10:910. doi: 10.3389/fneur.2019.00910

PubMed Abstract | Crossref Full Text | Google Scholar

36. Xu, X, Zhang, J, Yang, K, Wang, Q, Chen, X, and Xu, B. Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning. Brain Behav. (2021) 11:e02085. doi: 10.1002/brb3.2085

PubMed Abstract | Crossref Full Text | Google Scholar

37. Chen, Y, Jiang, C, Chang, J, Qin, C, Zhang, Q, Ye, Z, et al. An artificial intelligence-based prognostic prediction model for hemorrhagic stroke. Eur J Radiol. (2023) 167:111081. doi: 10.1016/j.ejrad.2023.111081

PubMed Abstract | Crossref Full Text | Google Scholar

38. Adams, HP Jr, and Lyden, P. Assessment of a patient with stroke: neurological examination and clinical rating scales. Handb Clin Neurol. (2008) 94:971–1009. doi: 10.1016/S0072-9752(08)94048-3

Crossref Full Text | Google Scholar

39. Henderson, D, Jensen, M, Drucker, J, and Lutz, A. Rehabilitation of speech, language, and swallowing disorders in clients with acquired brain injury In: J Elbaum, editor. Acquired brain injury. Cham: Springer (2019). 201–26.

Google Scholar

40. Jauch, EC, Saver, JL, Adams, HP Jr, Bruno, A, Connors, J, Demaerschalk, BM, et al. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. (2013) 44:870–947. doi: 10.1161/STR.0b013e318284056a

Crossref Full Text | Google Scholar

41. Mutai, H, Furukawa, T, Araki, K, Misawa, K, and Hanihara, T. Factors associated with functional recovery and home discharge in stroke patients admitted to a convalescent rehabilitation ward. Geriatr Gerontol Int. (2012) 12:215–22. doi: 10.1111/j.1447-0594.2011.00747.x

PubMed Abstract | Crossref Full Text | Google Scholar

42. Culebras, A, Kase, CS, Masdeu, JC, Fox, AJ, Bryan, RN, Grossman, CB, et al. Practice guidelines for the use of imaging in transient ischemic attacks and acute stroke. A report of the Stroke Council, American Heart Association. Stroke. (1997) 28:1480–97. doi: 10.1161/01.STR.28.7.1480

PubMed Abstract | Crossref Full Text | Google Scholar

43. Kim, Y-H. Rehabilitation after hemorrhagic stroke: from acute to chronic stage In: SH Lee, editor. Stroke revisited: hemorrhagic stroke. Singapore: Springer (2018). 219–31.

Google Scholar

44. Coleman, ER, Moudgal, R, Lang, K, Hyacinth, HI, Awosika, OO, Kissela, BM, et al. Early rehabilitation after stroke: a narrative review. Curr Atheroscler Rep. (2017) 19:59. doi: 10.1007/s11883-017-0686-6

Crossref Full Text | Google Scholar

45. Dobkin, BH. Strategies for stroke rehabilitation. Lancet Neurol. (2004) 3:528–36. doi: 10.1016/S1474-4422(04)00851-8

PubMed Abstract | Crossref Full Text | Google Scholar

46. Chen, L, Xiao, LD, and De Bellis, A. First-time stroke survivors and caregivers’ perceptions of being engaged in rehabilitation. J Adv Nurs. (2016) 72:73–84. doi: 10.1111/jan.12819

PubMed Abstract | Crossref Full Text | Google Scholar

47. Miller, EL, Murray, L, Richards, L, Zorowitz, RD, Bakas, T, Clark, P, et al. Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient: a scientific statement from the American Heart Association. Stroke. (2010) 41:2402–48. doi: 10.1161/STR.0b013e3181e7512b

PubMed Abstract | Crossref Full Text | Google Scholar

48. Han, J, Anson, J, Waddington, G, and Adams, R. Proprioceptive performance of bilateral upper and lower limb joints: side-general and site-specific effects. Exp Brain Res. (2013) 226:313–23. doi: 10.1007/s00221-013-3437-0

PubMed Abstract | Crossref Full Text | Google Scholar

49. Oguz, S, Demirbuken, I, Kavlak, B, Acar, G, Yurdalan, SU, and Polat, MG. The relationship between objective balance, perceived sense of balance, and fear of falling in stroke patients. Top Stroke Rehabil. (2017) 24:527–32. doi: 10.1080/10749357.2017.1322251

PubMed Abstract | Crossref Full Text | Google Scholar

50. Cayco, CS, Gorgon, EJR, and Lazaro, RT. Effects of proprioceptive neuromuscular facilitation on balance, strength, and mobility of an older adult with chronic stroke: a case report. J Bodyw Mov Ther. (2017) 21:767–74. doi: 10.1016/j.jbmt.2016.10.008

PubMed Abstract | Crossref Full Text | Google Scholar

51. Plummer, P, Eskes, G, Wallace, S, Giuffrida, C, Fraas, M, Campbell, G, et al. Cognitive-motor interference during functional mobility after stroke: state of the science and implications for future research. Arch Phys Med Rehabil. (2013) 94:2565–2574.e6. doi: 10.1016/j.apmr.2013.08.002

PubMed Abstract | Crossref Full Text | Google Scholar

52. Silsupadol, P, Lugade, V, Shumway-Cook, A, van Donkelaar, P, Chou, L-S, Mayr, U, et al. Training-related changes in dual-task walking performance of elderly persons with balance impairment: a double-blind, randomized controlled trial. Gait Posture. (2009) 29:634–9. doi: 10.1016/j.gaitpost.2009.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

53. Tasseel-Ponche, S, Roussel, M, Toba, MN, Sader, T, Barbier, V, Delafontaine, A, et al. Dual-task versus single-task gait rehabilitation after stroke: the protocol of the cognitive-motor synergy multicenter, randomized, controlled superiority trial (SYNCOMOT). Trials. (2023) 24:172. doi: 10.1186/s13063-023-07138-x

Crossref Full Text | Google Scholar

54. Yang, Z-Q, Wei, M-F, Chen, L, and Xi, J-N. Research progress in the application of motor-cognitive dual-task training in rehabilitation of walking function in stroke patients. J Neurorestoratol. (2023) 11:100028. doi: 10.1016/j.jnrt.2022.100028

Crossref Full Text | Google Scholar

55. Langhorne, P, Coupar, F, and Pollock, A. Motor recovery after stroke: a systematic review. Lancet Neurol. (2009) 8:741–54. doi: 10.1016/S1474-4422(09)70150-4

Crossref Full Text | Google Scholar

56. Aderinto, N, Olatunji, G, Abdulbasit, MO, Edun, M, Aboderin, G, and Egbunu, E. Exploring the efficacy of virtual reality-based rehabilitation in stroke: a narrative review of current evidence. Ann Med. (2023) 55:2285907. doi: 10.1080/07853890.2023.2285907

PubMed Abstract | Crossref Full Text | Google Scholar

57. Verschure, PF, Dos Santos, FP, and Sharma, V. Redefining stroke rehabilitation: mobilizing the embodied goal-oriented brain. Curr Opin Neurobiol. (2023) 83:102807. doi: 10.1016/j.conb.2023.102807

Crossref Full Text | Google Scholar

58. Moon, J-H, Park, K-Y, Kim, H-J, and Na, C-H. The effects of task-oriented circuit training using rehabilitation tools on the upper-extremity functions and daily activities of patients with acute stroke: a randomized controlled pilot trial. Osong Public Health Res Perspect. (2018) 9:225–30. doi: 10.24171/j.phrp.2018.9.5.03

PubMed Abstract | Crossref Full Text | Google Scholar

59. Wolf, SL, Winstein, CJ, Miller, JP, Taub, E, Uswatte, G, Morris, D, et al. Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke the EXCITE randomized clinical trial. JAMA. (2006) 296:2095–104. doi: 10.1001/jama.296.17.2095

PubMed Abstract | Crossref Full Text | Google Scholar

60. Mushtaq, W, Hamdani, N, Noohu, MM, and Raghavan, S. Effect of modified constrain induced movement therapy on fatigue and motor performance in sub acute stroke. J Stroke Cerebrovasc Dis. (2020) 29:105378. doi: 10.1016/j.jstrokecerebrovasdis.2020.105378

Crossref Full Text | Google Scholar

61. Shi, YX, Tian, JH, Yang, KH, and Zhao, Y. Modified constraint-induced movement therapy versus traditional rehabilitation in patients with upper-extremity dysfunction after stroke: a systematic review and meta-analysis. Arch Phys Med Rehabil. (2011) 92:972–82. doi: 10.1016/j.apmr.2010.12.036

Crossref Full Text | Google Scholar

62. Barzel, A, Ketels, G, Stark, A, Tetzlaff, B, Daubmann, A, Wegscheider, K, et al. Home-based constraint-induced movement therapy for patients with upper limb dysfunction after stroke (HOMECIMT): a cluster-randomised, controlled trial. Lancet Neurol. (2015) 14:893–902. doi: 10.1016/S1474-4422(15)00147-7

Crossref Full Text | Google Scholar

63. Wu, J, Cheng, H, Zhang, J, Yang, S, and Cai, S. Robot-assisted therapy for upper extremity motor impairment after stroke: a systematic review and meta-analysis. Phys Ther. (2021) 101:pzab010. doi: 10.1093/ptj/pzab010

PubMed Abstract | Crossref Full Text | Google Scholar

64. Jiang, S, You, H, Zhao, W, and Zhang, M. Effects of short-term upper limb robot-assisted therapy on the rehabilitation of sub-acute stroke patients. Technol Health Care. (2021) 29:295–303. doi: 10.3233/THC-202127

PubMed Abstract | Crossref Full Text | Google Scholar

65. Cho, K-H, and Song, W-K. Effects of two different robot-assisted arm training on upper limb motor function and kinematics in chronic stroke survivors: a randomized controlled trial. Top Stroke Rehabil. (2021) 28:241–50. doi: 10.1080/10749357.2020.1804699

PubMed Abstract | Crossref Full Text | Google Scholar

66. Lo, AC, Guarino, PD, Richards, LG, Haselkorn, JK, Wittenberg, GF, Federman, DG, et al. Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med. (2010) 362:1772–83. doi: 10.1056/NEJMoa0911341

PubMed Abstract | Crossref Full Text | Google Scholar

67. Peng, Q-c, Yin, L, and Cao, Y. Effectiveness of virtual reality in the rehabilitation of motor function of patients with subacute stroke: a meta-analysis. Front Neurol. (2021) 12:639535. doi: 10.3389/fneur.2021.639535

PubMed Abstract | Crossref Full Text | Google Scholar

68. Subramanian, SK, Lourenço, CB, Chilingaryan, G, Sveistrup, H, and Levin, MF. Arm motor recovery using a virtual reality intervention in chronic stroke: randomized control trial. Neurorehabil Neural Repair. (2013) 27:13–23. doi: 10.1177/1545968312449695

Crossref Full Text | Google Scholar

69. Laver, K. Virtual reality for stroke rehabilitation In: Virtual reality in health and rehabilitation. Boca Raton: CRC Press (2020). 19–28.

Google Scholar

70. Billinger, SA, Arena, R, Bernhardt, J, Eng, JJ, Franklin, BA, Johnson, CM, et al. Physical activity and exercise recommendations for stroke survivors: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. (2014) 45:2532–53. doi: 10.1161/STR.0000000000000022

Crossref Full Text | Google Scholar

71. Marzolini, S, Robertson, AD, Oh, P, Goodman, JM, Corbett, D, Du, X, et al. Aerobic training and mobilization early post-stroke: cautions and considerations. Front Neurol. (2019) 10:1187. doi: 10.3389/fneur.2019.01187

PubMed Abstract | Crossref Full Text | Google Scholar

72. Pang, MY, Charlesworth, SA, Lau, RW, and Chung, RC. Using aerobic exercise to improve health outcomes and quality of life in stroke: evidence-based exercise prescription recommendations. Cerebrovasc Dis. (2013) 35:7–22. doi: 10.1159/000346075

PubMed Abstract | Crossref Full Text | Google Scholar

73. Steultjens, EM, Dekker, J, Bouter, LM, van de Nes, JC, Cup, EH, and van den Ende, CH. Occupational therapy for stroke patients: a systematic review. Stroke. (2003) 34:676–87. doi: 10.1161/01.STR.0000057576.77308.30

Crossref Full Text | Google Scholar

74. De-Rosende-Celeiro, I, Rey-Villamayor, A, Francisco-de-Miguel, I, and Ávila-Álvarez, A. Independence in daily activities after stroke among occupational therapy patients and its relationship with unilateral neglect. Int J Environ Res Public Health. (2021) 18:7537. doi: 10.3390/ijerph18147537

PubMed Abstract | Crossref Full Text | Google Scholar

75. Fauth, EB, Schaefer, SY, Zarit, SH, Ernsth-Bravell, M, and Johansson, B. Associations between fine motor performance in activities of daily living and cognitive ability in a nondemented sample of older adults: implications for geriatric physical rehabilitation. J Aging Health. (2017) 29:1144–59. doi: 10.1177/0898264316654674

PubMed Abstract | Crossref Full Text | Google Scholar

76. Bhogal, SK, Teasell, R, and Speechley, M. Intensity of aphasia therapy, impact on recovery. Stroke. (2003) 34:987–93. doi: 10.1161/01.STR.0000062343.64383.D0

PubMed Abstract | Crossref Full Text | Google Scholar

77. Dilworth, C. The role of the speech language pathologist in acute stroke. Ann Indian Acad Neurol. (2008) 11:108–S18. doi: 10.4103/0972-2327.41724

Crossref Full Text | Google Scholar

78. Lazar, RM, and Boehme, AK. Aphasia as a predictor of stroke outcome. Curr Neurol Neurosci Rep. (2017) 17:83. doi: 10.1007/s11910-017-0797-z

Crossref Full Text | Google Scholar

79. Eraifej, J, Clark, W, France, B, Desando, S, and Moore, D. Effectiveness of upper limb functional electrical stimulation after stroke for the improvement of activities of daily living and motor function: a systematic review and meta-analysis. Syst Rev. (2017) 6:40. doi: 10.1186/s13643-017-0435-5

Crossref Full Text | Google Scholar

80. Quandt, F, and Hummel, FC. The influence of functional electrical stimulation on hand motor recovery in stroke patients: a review. Exp Transl Stroke Med. (2014) 6:9. doi: 10.1186/2040-7378-6-9

Crossref Full Text | Google Scholar

81. Marquez-Chin, C, and Popovic, MR. Functional electrical stimulation therapy for restoration of motor function after spinal cord injury and stroke: a review. Biomed Eng Online. (2020) 19:34. doi: 10.1186/s12938-020-00773-4

PubMed Abstract | Crossref Full Text | Google Scholar

82. Vafadar, AK, Côté, JN, and Archambault, PS. Effectiveness of functional electrical stimulation in improving clinical outcomes in the upper arm following stroke: a systematic review and meta-analysis. Biomed Res Int. (2015) 2015:729768. doi: 10.1155/2015/729768

Crossref Full Text | Google Scholar

83. Thieme, H, Morkisch, N, Mehrholz, J, Pohl, M, Behrens, J, Borgetto, B, et al. Mirror therapy for improving motor function after stroke. Cochrane Database Syst Rev. (2018) 2018:CD008449. doi: 10.1002/14651858.CD008449.pub3

Crossref Full Text | Google Scholar

84. Yavuzer, G, Selles, R, Sezer, N, Sütbeyaz, S, Bussmann, JB, Köseoğlu, F, et al. Mirror therapy improves hand function in subacute stroke: a randomized controlled trial. Arch Phys Med Rehabil. (2008) 89:393–8. doi: 10.1016/j.apmr.2007.08.162

PubMed Abstract | Crossref Full Text | Google Scholar

85. Gandhi, DB, Sterba, A, Khatter, H, and Pandian, JD. Mirror therapy in stroke rehabilitation: current perspectives. Ther Clin Risk Manag. (2020) 16:75–85. doi: 10.2147/TCRM.S206883

PubMed Abstract | Crossref Full Text | Google Scholar

86. Hartman, K, and Altschuler, EL. Mirror therapy for hemiparesis following stroke: a review. Curr Phys Med Rehabil Rep. (2016) 4:237–48. doi: 10.1007/s40141-016-0131-8

Crossref Full Text | Google Scholar

87. Cumming, TB, Marshall, RS, and Lazar, RM. Stroke, cognitive deficits, and rehabilitation: still an incomplete picture. Int J Stroke. (2013) 8:38–45. doi: 10.1111/j.1747-4949.2012.00972.x

PubMed Abstract | Crossref Full Text | Google Scholar

88. Cicerone, KD, Goldin, Y, Ganci, K, Rosenbaum, A, Wethe, JV, Langenbahn, DM, et al. Evidence-based cognitive rehabilitation: systematic review of the literature from 2009 through 2014. Arch Phys Med Rehabil. (2019) 100:1515–33. doi: 10.1016/j.apmr.2019.02.011

PubMed Abstract | Crossref Full Text | Google Scholar

89. Cicerone, KD, Langenbahn, DM, Braden, C, Malec, JF, Kalmar, K, Fraas, M, et al. Evidence-based cognitive rehabilitation: updated review of the literature from 2003 through 2008. Arch Phys Med Rehabil. (2011) 92:519–30. doi: 10.1016/j.apmr.2010.11.015

PubMed Abstract | Crossref Full Text | Google Scholar

90. Draaisma, LR, Wessel, MJ, and Hummel, FC. Non-invasive brain stimulation to enhance cognitive rehabilitation after stroke. Neurosci Lett. (2020) 719:133678. doi: 10.1016/j.neulet.2018.06.047

PubMed Abstract | Crossref Full Text | Google Scholar

91. Marinho-Buzelli, AR, Bonnyman, AM, and Verrier, MC. The effects of aquatic therapy on mobility of individuals with neurological diseases: a systematic review. Clin Rehabil. (2015) 29:741–51. doi: 10.1177/0269215514556297

PubMed Abstract | Crossref Full Text | Google Scholar

92. Giuriati, S, Servadio, A, Temperoni, G, Curcio, A, Valente, D, and Galeoto, G. The effect of aquatic physical therapy in patients with stroke: a systematic review and meta-analysis. Top Stroke Rehabil. (2021) 28:19–32. doi: 10.1080/10749357.2020.1755816

Crossref Full Text | Google Scholar

93. Grau-Sánchez, J, Segura, E, Sanchez-Pinsach, D, Raghavan, P, Münte, TF, Palumbo, AM, et al. Enriched music-supported therapy for chronic stroke patients: a study protocol of a randomised controlled trial. BMC Neurol. (2021) 21:19. doi: 10.1186/s12883-020-02019-1

Crossref Full Text | Google Scholar

94. Grau-Sánchez, J, Münte, TF, Altenmüller, E, Duarte, E, and Rodríguez-Fornells, A. Potential benefits of music playing in stroke upper limb motor rehabilitation. Neurosci Biobehav Rev. (2020) 112:585–99. doi: 10.1016/j.neubiorev.2020.02.027

PubMed Abstract | Crossref Full Text | Google Scholar

95. Altenmüller, E, and James, CE. The impact of music interventions on motor rehabilitation following stroke in elderly In: LL Cuddy, S Belleville, and A Moussard, editors. Music and the aging brain. CA, USA: Elsevier Academic Press (2020). 407–32.

Google Scholar

96. van Nimwegen, D, Hjelle, EG, Bragstad, LK, Kirkevold, M, Sveen, U, Hafsteinsdóttir, T, et al. Interventions for improving psychosocial well-being after stroke: a systematic review. Int J Nurs Stud. (2023) 142:104492. doi: 10.1016/j.ijnurstu.2023.104492

PubMed Abstract | Crossref Full Text | Google Scholar

97. Hackett, ML, Anderson, CS, House, A, and Xia, J. Interventions for treating depression after stroke. Cochrane Database Syst Rev. (2008) 2008:CD003437. doi: 10.1002/14651858.CD003437.pub3

Crossref Full Text | Google Scholar

98. Kirkevold, M, Kildal Bragstad, L, Bronken, BA, Kvigne, K, Martinsen, R, Gabrielsen Hjelle, E, et al. Promoting psychosocial well-being following stroke: study protocol for a randomized, controlled trial. BMC Psychol. (2018) 6:1–12. doi: 10.1186/s40359-018-0223-6

Crossref Full Text | Google Scholar

99. Sommer, CJ, and Schäbitz, W-R. Principles and requirements for stroke recovery science. J Cereb Blood Flow Metab. (2021) 41:471–85. doi: 10.1177/0271678X20970048

PubMed Abstract | Crossref Full Text | Google Scholar

100. Hasan, TF, Hasan, H, and Kelley, RE. Overview of acute ischemic stroke evaluation and management. Biomedicines. (2021) 9:1486. doi: 10.3390/biomedicines9101486

PubMed Abstract | Crossref Full Text | Google Scholar

101. Langhorne, P, Bernhardt, J, and Kwakkel, G. Stroke rehabilitation. Lancet. (2011) 377:1693–702. doi: 10.1016/S0140-6736(11)60325-5

Crossref Full Text | Google Scholar

102. Boyd, LA, Hayward, KS, Ward, NS, Stinear, CM, Rosso, C, Fisher, RJ, et al. Biomarkers of stroke recovery: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable. Int J Stroke. (2017) 12:480–93. doi: 10.1177/1747493017714176

PubMed Abstract | Crossref Full Text | Google Scholar

103. Todhunter-Brown, A, Baer, G, Campbell, P, Choo, PL, Forster, A, Morris, J, et al. Physical rehabilitation approaches for the recovery of function and mobility following stroke. Cochrane Database Syst Rev. (2014) 2014:CD001920. doi: 10.1002/14651858.CD001920.pub3

Crossref Full Text | Google Scholar

104. Ekechukwu, END, Olowoyo, P, Nwankwo, KO, Olaleye, OA, Ogbodo, VE, Hamzat, TK, et al. Pragmatic solutions for stroke recovery and improved quality of life in low-and middle-income countries—a systematic review. Front Neurol. (2020) 11:531709. doi: 10.3389/fneur.2020.00337

Crossref Full Text | Google Scholar

105. Chiaramonte, R, Bonfiglio, M, Leonforte, P, Coltraro, GL, Guerrera, CS, and Vecchio, M. Proprioceptive and dual-task training: the key of stroke rehabilitation, a systematic review. J Funct Morphol Kinesiol. (2022) 7:53. doi: 10.3390/jfmk7030053

PubMed Abstract | Crossref Full Text | Google Scholar

106. Brady, MC, Godwin, J, Enderby, P, Kelly, H, and Campbell, P. Speech and language therapy for aphasia after stroke: an updated systematic review and meta-analyses. Stroke. (2016) 47:e236–7. doi: 10.1161/STROKEAHA.116.014439

Crossref Full Text | Google Scholar

107. Mukherjee, D, Levin, RL, and Heller, W. The cognitive, emotional, and social sequelae of stroke: psychological and ethical concerns in post-stroke adaptation. Top Stroke Rehabil. (2006) 13:26–35. doi: 10.1310/tsr1304-26

PubMed Abstract | Crossref Full Text | Google Scholar

108. Veerbeek, JM, Langbroek-Amersfoort, AC, Van Wegen, EE, Meskers, CG, and Kwakkel, G. Effects of robot-assisted therapy for the upper limb after stroke: a systematic review and meta-analysis. Neurorehabil Neural Repair. (2017) 31:107–21. doi: 10.1177/1545968316666957

Crossref Full Text | Google Scholar

109. Thieme, H, Mehrholz, J, Pohl, M, Behrens, J, and Dohle, C. Mirror therapy for improving motor function after stroke. Stroke. (2013) 44:e1–2. doi: 10.1161/STROKEAHA.112.673087

PubMed Abstract | Crossref Full Text | Google Scholar

110. Magee, WL, Clark, I, Tamplin, J, and Bradt, J. Music interventions for acquired brain injury. Cochrane Database Syst Rev. (2017) 2017:CD006787. doi: 10.1002/14651858.CD006787.pub3

Crossref Full Text | Google Scholar

111. Cumming, TB, Packer, M, Kramer, SF, and English, C. The prevalence of fatigue after stroke: a systematic review and meta-analysis. Int J Stroke. (2016) 11:968–77. doi: 10.1177/1747493016669861

PubMed Abstract | Crossref Full Text | Google Scholar

112. Boulanger, J, Lindsay, M, Gubitz, G, Smith, E, Stotts, G, Foley, N, et al. Canadian stroke best practice recommendations for acute stroke management: prehospital, emergency department, and acute inpatient stroke care, update 2018. Int J Stroke. (2018) 13:949–84. doi: 10.1177/1747493018786616

Crossref Full Text | Google Scholar

113. Hurford, R, Sekhar, A, Hughes, TA, and Muir, KW. Diagnosis and management of acute ischaemic stroke. Pract Neurol. (2020) 20:304–16. doi: 10.1136/practneurol-2020-002557

PubMed Abstract | Crossref Full Text | Google Scholar

114. Seidel, PM, and Seidel, GK. Stroke rehabilitation In: S Hans, editor. Extracranial carotid and vertebral artery disease. Cham: Springer (2018). 279–92.

Google Scholar

115. Rowland, TJ, Cooke, DM, and Gustafsson, LA. Role of occupational therapy after stroke. Ann Indian Acad Neurol. (2008) 11:S99–S107.

PubMed Abstract | Google Scholar

116. Armstrong, JR, and Mosher, BD. Aspiration pneumonia after stroke: intervention and prevention. Neurohospitalist. (2011) 1:85–93. doi: 10.1177/1941875210395775

Crossref Full Text | Google Scholar

117. Kalra, L. Medical complications after stroke In: Stroke recovery and rehabilitation. CA, USA (2008). 405.

Google Scholar

118. Adams, HP Jr, Del Zoppo, G, Alberts, MJ, Bhatt, DL, Brass, L, Furlan, A, et al. Guidelines for the early management of adults with ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: the American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. Stroke. (2007) 38:1655–711. doi: 10.1161/STROKEAHA.107.181486

PubMed Abstract | Crossref Full Text | Google Scholar

119. Norrving, B, Barrick, J, Davalos, A, Dichgans, M, Cordonnier, C, Guekht, A, et al. Action plan for stroke in Europe 2018–2030. Eur Stroke J. (2018) 3:309–36. doi: 10.1177/2396987318808719

PubMed Abstract | Crossref Full Text | Google Scholar

120. Beebe, JA, and Lang, CE. Active range of motion predicts upper extremity function 3 months after stroke. Stroke. (2009) 40:1772–9. doi: 10.1161/STROKEAHA.108.536763

PubMed Abstract | Crossref Full Text | Google Scholar

121. van der Brugge, F. Influenceable functions and cognitive rehabilitation In: Neurorehabilitation for central nervous system disorders (2018). 91–117.

Google Scholar

122. Rhoades, D, Bergman, C, and Pasquina, PF. Rehabilitation in the setting of neurotrauma In: J Ecklund and L Moores, editors. Neurotrauma management for the severely injured polytrauma patient. Cham: Springer (2017). 255–77.

Google Scholar

123. Bernhardt, J, English, C, Johnson, L, and Cumming, TB. Early mobilization after stroke: early adoption but limited evidence. Stroke. (2015) 46:1141–6. doi: 10.1161/STROKEAHA.114.007434

Crossref Full Text | Google Scholar

124. Tinga, AM, Visser-Meily, JMA, van der Smagt, MJ, Van der Stigchel, S, van Ee, R, and Nijboer, TCW. Multisensory stimulation to improve low-and higher-level sensory deficits after stroke: a systematic review. Neuropsychol Rev. (2016) 26:73–91. doi: 10.1007/s11065-015-9301-1

PubMed Abstract | Crossref Full Text | Google Scholar

125. Barritt, AW, and Smithard, DG. Role of cerebral cortex plasticity in the recovery of swallowing function following dysphagic stroke. Dysphagia. (2009) 24:83–90. doi: 10.1007/s00455-008-9162-3

PubMed Abstract | Crossref Full Text | Google Scholar

126. Bonini-Rocha, AC, de Andrade, ALS, Moraes, AM, Matheus, LBG, Diniz, LR, and Martins, WR. Effectiveness of circuit-based exercises on gait speed, balance, and functional mobility in people affected by stroke: a meta-analysis. PM R. (2018) 10:398–409. doi: 10.1016/j.pmrj.2017.09.014

PubMed Abstract | Crossref Full Text | Google Scholar

127. Becker, BE. Aquatic therapy: scientific foundations and clinical rehabilitation applications. PM R. (2009) 1:859–72. doi: 10.1016/j.pmrj.2009.05.017

Crossref Full Text | Google Scholar

128. Aichner, F, Adelwöhrer, C, and Haring, H-P. Rehabilitation approaches to stroke In: WW Fleischhacker and DJ Brooks, editors. Stroke-vascular diseases. Vienna: Springer (2002)

Google Scholar

129. Fluet, GG, Roy, D, and Llorens, R. Basis and clinical evidence of virtual reality-based rehabilitation of sensorimotor impairments after stroke In: DJ Reinkensmeyer, L Marchal-Crespo, and V Dietz, editors. Neurorehabilitation technology. Cham: Springer (2022). 429–66.

Google Scholar

130. Adeoye, O, Nyström, KV, Yavagal, DR, Luciano, J, Nogueira, RG, Zorowitz, RD, et al. Recommendations for the establishment of stroke systems of care: a 2019 update: a policy statement from the American Stroke Association. Stroke. (2019) 50:e187–210. doi: 10.1161/STR.0000000000000173

Crossref Full Text | Google Scholar

131. Indar, A, Nelson, M, Berta, W, and Mylopoulos, M. A critical appraisal of professional competency frameworks: what guidance is provided for stroke rehabilitation clinicians managing ‘complexity’? J Multimorb Comorb. (2023) 13:26335565231215671. doi: 10.1177/26335565231215671

PubMed Abstract | Crossref Full Text | Google Scholar

132. Hersh, D, Worrall, L, Howe, T, Sherratt, S, and Davidson, B. SMARTER goal setting in aphasia rehabilitation. Aphasiology. (2012) 26:220–33. doi: 10.1080/02687038.2011.640392

Crossref Full Text | Google Scholar

133. Calvaresi, D, and Calbimonte, J-P. Real-time compliant stream processing agents for physical rehabilitation. Sensors. (2020) 20:746. doi: 10.3390/s20030746

PubMed Abstract | Crossref Full Text | Google Scholar

134. Dobkin, BH. A rehabilitation-internet-of-things in the home to augment motor skills and exercise training. Neurorehabil Neural Repair. (2017) 31:217–27. doi: 10.1177/1545968316680490

Crossref Full Text | Google Scholar

135. Johnston, V, Brakenridge, C, Valiant, D, Ling, CLK, Andrews, N, Gane, EM, et al. Using framework analysis to understand multiple stakeholders’ views of vocational rehabilitation following acquired brain injury. Brain Impair. (2023) 24:347–70. doi: 10.1017/BrImp.2022.27

PubMed Abstract | Crossref Full Text | Google Scholar

136. Teasell, RW, Foley, NC, Bhogal, SK, and Speechley, MR. An evidence-based review of stroke rehabilitation. Top Stroke Rehabil. (2003) 10:29–58. doi: 10.1310/8YNA-1YHK-YMHB-XTE1

Crossref Full Text | Google Scholar

137. Duncan, PW, Zorowitz, R, Bates, B, Choi, JY, Glasberg, JJ, Graham, GD, et al. Management of adult stroke rehabilitation care: a clinical practice guideline. Stroke. (2005) 36:e100–43. doi: 10.1161/01.STR.0000180861.54180.FF

PubMed Abstract | Crossref Full Text | Google Scholar

138. Latham, NK, Jette, DU, Slavin, M, Richards, LG, Procino, A, Smout, RJ, et al. Physical therapy during stroke rehabilitation for people with different walking abilities. Arch Phys Med Rehabil. (2005) 86:41–50. doi: 10.1016/j.apmr.2005.08.128

Crossref Full Text | Google Scholar

139. Sullivan, JE, Crowner, BE, Kluding, PM, Nichols, D, Rose, DK, Yoshida, R, et al. Outcome measures for individuals with stroke: process and recommendations from the American Physical Therapy Association neurology section task force. Phys Ther. (2013) 93:1383–96. doi: 10.2522/ptj.20120492

PubMed Abstract | Crossref Full Text | Google Scholar

140. Charalambous, CC, Bonilha, HS, Kautz, SA, Gregory, CM, and Bowden, MG. Rehabilitating walking speed poststroke with treadmill-based interventions: a systematic review of randomized controlled trials. Neurorehabil Neural Repair. (2013) 27:709–21. doi: 10.1177/1545968313491005

PubMed Abstract | Crossref Full Text | Google Scholar

141. Wu, M. A flexible cable-driven robotic system: design and its clinical application for improving walking function in adults with stroke, SCI, and children with CP In: DJ Reinkensmeyer, L Marchal-Crespo, and V Dietz, editors. Neurorehabilitation technology. Cham: Springer (2022). 717–43.

Google Scholar

142. Shahid, J, Kashif, A, and Shahid, MK. A comprehensive review of physical therapy interventions for stroke rehabilitation: impairment-based approaches and functional goals. Brain Sci. (2023) 13:717. doi: 10.3390/brainsci13050717

PubMed Abstract | Crossref Full Text | Google Scholar

143. Hatem, SM, Saussez, G, Della Faille, M, Prist, V, Zhang, X, Dispa, D, et al. Rehabilitation of motor function after stroke: a multiple systematic review focused on techniques to stimulate upper extremity recovery. Front Hum Neurosci. (2016) 10:442. doi: 10.3389/fnhum.2016.00442

Crossref Full Text | Google Scholar

144. Cabanas-Valdés, R, Bagur-Calafat, C, Girabent-Farrés, M, Caballero-Gómez, FM, Hernández-Valiño, M, and Urrútia, CG. The effect of additional core stability exercises on improving dynamic sitting balance and trunk control for subacute stroke patients: a randomized controlled trial. Clin Rehabil. (2016) 30:1024–33. doi: 10.1177/0269215515609414

PubMed Abstract | Crossref Full Text | Google Scholar

145. Joshua, AM, and Karthikbabu, S. Therapeutic approaches In: AM Joshua, editor. Physiotherapy for adult neurological conditions. Singapore: Springer (2022). 31–183.

Google Scholar

146. Gorst, T, Lyddon, A, Marsden, J, Paton, J, Morrison, SC, Cramp, M, et al. Foot and ankle impairments affect balance and mobility in stroke (FAiMiS): the views and experiences of people with stroke. Disabil Rehabil. (2016) 38:589–96. doi: 10.3109/09638288.2015.1052888

PubMed Abstract | Crossref Full Text | Google Scholar

147. Willems, EM, Vermeulen, J, van Haastregt, JC, and Zijlstra, GR. Technologies to improve the participation of stroke patients in their home environment. Disabil Rehabil. (2022) 44:7116–26. doi: 10.1080/09638288.2021.1983041

Crossref Full Text | Google Scholar

148. Chen, Y, Abel, KT, Janecek, JT, Chen, Y, Zheng, K, and Cramer, SC. Home-based technologies for stroke rehabilitation: a systematic review. Int J Med Inform. (2019) 123:11–22. doi: 10.1016/j.ijmedinf.2018.12.001

PubMed Abstract | Crossref Full Text | Google Scholar

149. Walder, K, and Molineux, M. Re-establishing an occupational identity after stroke—a theoretical model based on survivor experience. Br J Occup Ther. (2017) 80:620–30. doi: 10.1177/0308022617722711

Crossref Full Text | Google Scholar

150. Hoffmann, M, Gustafsson, L, and Di Tommaso, A. Exploring stroke survivors’ experiences and understandings of occupational therapy. Scand J Occup Ther. (2022) 29:165–74. doi: 10.1080/11038128.2020.1831060

PubMed Abstract | Crossref Full Text | Google Scholar

151. Wong, MN-K, Cheung, MK-T, Ng, Y-M, Yuan, H-L, Lam, BY-H, Fu, SN, et al. International classification of functioning, disability, and health-based rehabilitation program promotes activity and participation of post-stroke patients. Front Neurol. (2023) 14:1235500. doi: 10.3389/fneur.2023.1235500

Crossref Full Text | Google Scholar

152. Waddell, KJ, Birkenmeier, RL, Bland, MD, and Lang, CE. An exploratory analysis of the self-reported goals of individuals with chronic upper-extremity paresis following stroke. Disabil Rehabil. (2016) 38:853–7. doi: 10.3109/09638288.2015.1062926

PubMed Abstract | Crossref Full Text | Google Scholar

153. Hildebrand, MW, Geller, D, and Proffitt, R. Occupational therapy practice guidelines for adults with stroke. Am J Occup Ther. (2023) 77:7705397010. doi: 10.5014/ajot.2023.077501

Crossref Full Text | Google Scholar

154. Richards, LG, Latham, NK, Jette, DU, Rosenberg, L, Smout, RJ, and DeJong, G. Characterizing occupational therapy practice in stroke rehabilitation. Arch Phys Med Rehabil. (2005) 86:51–60. doi: 10.1016/j.apmr.2005.08.127

Crossref Full Text | Google Scholar

155. Broeren, J, Sunnerhagen, KS, and Rydmark, M. Haptic virtual rehabilitation in stroke: transferring research into clinical practice. Phys Ther Rev. (2009) 14:322–35. doi: 10.1179/108331909X12488667117212

Crossref Full Text | Google Scholar

156. Burns, SP, Schwartz, JK, Scott, SL, Devos, H, Kovic, M, Hong, I, et al. Interdisciplinary approaches to facilitate return to driving and return to work in mild stroke: a position paper. Arch Phys Med Rehabil. (2018) 99:2378–88. doi: 10.1016/j.apmr.2018.01.032

PubMed Abstract | Crossref Full Text | Google Scholar

157. Murray, A, Watter, K, McLennan, V, Vogler, J, Nielsen, M, Jeffery, S, et al. Identifying models, processes, and components of vocational rehabilitation following acquired brain injury: a systematic scoping review. Disabil Rehabil. (2022) 44:7641–54. doi: 10.1080/09638288.2021.1980622

PubMed Abstract | Crossref Full Text | Google Scholar

158. Parisi, A, Bellinzona, F, Di Lernia, D, Repetto, C, De Gaspari, S, Brizzi, G, et al. Efficacy of multisensory Technology in Post-Stroke Cognitive Rehabilitation: a systematic review. J Clin Med. (2022) 11:6324. doi: 10.3390/jcm11216324

PubMed Abstract | Crossref Full Text | Google Scholar

159. Govender, P, and Kalra, L. Benefits of occupational therapy in stroke rehabilitation. Expert Rev Neurother. (2007) 7:1013–9. doi: 10.1586/14737175.7.8.1013

Crossref Full Text | Google Scholar

160. Hatfield, B, Millet, D, Coles, J, Gassaway, J, Conroy, B, and Smout, RJ. Characterizing speech and language pathology outcomes in stroke rehabilitation. Arch Phys Med Rehabil. (2005) 86:61–72. doi: 10.1016/j.apmr.2005.08.111

PubMed Abstract | Crossref Full Text | Google Scholar

161. Schwab, SM, Dugan, S, and Riley, MA. Reciprocal influence of mobility and speech-language: advancing physical therapy and speech therapy cotreatment and collaboration for adults with neurological conditions. Phys Ther. (2021) 101:pzab196. doi: 10.1093/ptj/pzab196

PubMed Abstract | Crossref Full Text | Google Scholar

162. Marzouqah, R, Huynh, A, Chen, JL, Boulos, MI, and Yunusova, Y. The role of oral and pharyngeal motor exercises in post-stroke recovery: a scoping review. Clin Rehabil. (2023) 37:620–35. doi: 10.1177/02692155221141395

PubMed Abstract | Crossref Full Text | Google Scholar

163. Sheppard, SM, and Sebastian, R. Diagnosing and managing post-stroke aphasia. Expert Rev Neurother. (2021) 21:221–34. doi: 10.1080/14737175.2020.1855976

PubMed Abstract | Crossref Full Text | Google Scholar

164. Ramsey, A, and Blake, ML. Speech-language pathology practices for adults with right hemisphere stroke: what are we missing? Am J Speech Lang Pathol. (2020) 29:741–59. doi: 10.1044/2020_AJSLP-19-00082

PubMed Abstract | Crossref Full Text | Google Scholar

165. Speyer, R, Baijens, L, Heijnen, M, and Zwijnenberg, I. Effects of therapy in oropharyngeal dysphagia by speech and language therapists: a systematic review. Dysphagia. (2010) 25:40–65. doi: 10.1007/s00455-009-9239-7

PubMed Abstract | Crossref Full Text | Google Scholar

166. Kedlaya, D, and Brandstater, ME. Swallowing, nutrition, and hydration during acute stroke care. Top Stroke Rehabil. (2002) 9:23–38. doi: 10.1310/WEHA-ALJX-9N2X-0VMU

PubMed Abstract | Crossref Full Text | Google Scholar

167. Moffatt, K, Pourshahid, G, and Baecker, RM. Augmentative and alternative communication devices for aphasia: the emerging role of “smart” mobile devices. Univ Access Inf Soc. (2017) 16:115–28. doi: 10.1007/s10209-015-0428-x

Crossref Full Text | Google Scholar

168. Chang, HF, Power, E, O’Halloran, R, and Foster, A. Stroke communication partner training: a national survey of 122 clinicians on current practice patterns and perceived implementation barriers and facilitators. Int J Lang Commun Disord. (2018) 53:1094–109. doi: 10.1111/1460-6984.12421

PubMed Abstract | Crossref Full Text | Google Scholar

169. Chiaramonte, R, and Vecchio, M. Dysarthria and stroke. The effectiveness of speech rehabilitation. A systematic review and meta-analysis of the studies. Eur J Phys Rehabil Med. (2021) 57:24–43. doi: 10.23736/S1973-9087.20.06242-5

PubMed Abstract | Crossref Full Text | Google Scholar

170. Barman, A, Chatterjee, A, and Bhide, R. Cognitive impairment and rehabilitation strategies after traumatic brain injury. Indian J Psychol Med. (2016) 38:172–81. doi: 10.4103/0253-7176.183086

PubMed Abstract | Crossref Full Text | Google Scholar

171. Evans, JJ. Memory dysfunction In: Textbook of neural repair and rehabilitation (2014). 478–88.

Google Scholar

172. de Lima, MFR, Cavendish, BA, de Deus, JS, and Buratto, LG. Retrieval practice in memory-and language-impaired populations: a systematic review. Arch Clin Neuropsychol. (2020) 35:1078–93. doi: 10.1093/arclin/acaa035

Crossref Full Text | Google Scholar

173. Hyndman, D, and Ashburn, A. People with stroke living in the community: attention deficits, balance, ADL ability and falls. Disabil Rehabil. (2003) 25:817–22. doi: 10.1080/0963828031000122221

PubMed Abstract | Crossref Full Text | Google Scholar

174. McCulloch, K. Attention and dual-task conditions: physical therapy implications for individuals with acquired brain injury. J Neurol Phys Ther. (2007) 31:104–18. doi: 10.1097/NPT.0b013e31814a6493

PubMed Abstract | Crossref Full Text | Google Scholar

175. Taylor, GH, and Broomfield, NM. Cognitive assessment and rehabilitation pathway for stroke (CARPS). Top Stroke Rehabil. (2013) 20:270–82. doi: 10.1310/tsr2003-270

PubMed Abstract | Crossref Full Text | Google Scholar

176. Hoffmann, T, and McKenna, K. Analysis of stroke patients’ and carers’ reading ability and the content and design of written materials: recommendations for improving written stroke information. Patient Educ Couns. (2006) 60:286–93. doi: 10.1016/j.pec.2005.06.020

PubMed Abstract | Crossref Full Text | Google Scholar

177. McEwen, S, Polatajko, H, Baum, C, Rios, J, Cirone, D, Doherty, M, et al. Combined cognitive-strategy and task-specific training improve transfer to untrained activities in subacute stroke: an exploratory randomized controlled trial. Neurorehabil Neural Repair. (2015) 29:526–36. doi: 10.1177/1545968314558602

PubMed Abstract | Crossref Full Text | Google Scholar

178. Cicerone, KD, Dahlberg, C, Kalmar, K, Langenbahn, DM, Malec, JF, Bergquist, TF, et al. Evidence-based cognitive rehabilitation: recommendations for clinical practice. Arch Phys Med Rehabil. (2000) 81:1596–615. doi: 10.1053/apmr.2000.19240

Crossref Full Text | Google Scholar

179. Pang, MYC, Yang, L, Ouyang, H, Lam, FMH, Huang, M, and Jehu, DA. Dual-task exercise reduces cognitive-motor interference in walking and falls after stroke: a randomized controlled study. Stroke. (2018) 49:2990–8. doi: 10.1161/STROKEAHA.118.022157

PubMed Abstract | Crossref Full Text | Google Scholar

180. Mancioppi, G, Fiorini, L, Rovini, E, and Cavallo, F. The use of motor and cognitive dual-task quantitative assessment on subjects with mild cognitive impairment: a systematic review. Mech Ageing Dev. (2021) 193:111393. doi: 10.1016/j.mad.2020.111393

PubMed Abstract | Crossref Full Text | Google Scholar

181. Ogbeiwi, O. General concepts of goals and goal-setting in healthcare: a narrative review. J Manag Organ. (2021) 27:324–41. doi: 10.1017/jmo.2018.11

Crossref Full Text | Google Scholar

182. Hillig, T, Ma, H, and Dorsch, S. Goal-oriented instructions increase the intensity of practice in stroke rehabilitation compared with non-specific instructions: a within-participant, repeated measures experimental study. J Physiother. (2019) 65:95–8. doi: 10.1016/j.jphys.2019.02.007

PubMed Abstract | Crossref Full Text | Google Scholar

183. Andringa, A, van de Port, I, van Wegen, E, Ket, J, Meskers, C, and Kwakkel, G. Effectiveness of botulinum toxin treatment for upper limb spasticity poststroke over different ICF domains: a systematic review and meta-analysis. Arch Phys Med Rehabil. (2019) 100:1703–25. doi: 10.1016/j.apmr.2019.01.016

Crossref Full Text | Google Scholar

184. Suputtitada, A, Chatromyen, S, Chen, CP, and Simpson, DM. Best practice guidelines for the management of patients with post-stroke spasticity: a modified scoping review. Toxins. (2024) 16:98. doi: 10.3390/toxins16020098

PubMed Abstract | Crossref Full Text | Google Scholar

185. Mills, PB, Finlayson, H, Sudol, M, and O’Connor, R. Systematic review of adjunct therapies to improve outcomes following botulinum toxin injection for treatment of limb spasticity. Clin Rehabil. (2016) 30:537–48. doi: 10.1177/0269215515593783

PubMed Abstract | Crossref Full Text | Google Scholar

186. Thibaut, A, Chatelle, C, Ziegler, E, Bruno, M-A, Laureys, S, and Gosseries, O. Spasticity after stroke: physiology, assessment and treatment. Brain Inj. (2013) 27:1093–105. doi: 10.3109/02699052.2013.804202

Crossref Full Text | Google Scholar

187. Baricich, A, Picelli, A, Santamato, A, Carda, S, de Sire, A, Smania, N, et al. Safety profile of high-dose botulinum toxin type a in post-stroke spasticity treatment. Clin Drug Investig. (2018) 38:991–1000. doi: 10.1007/s40261-018-0701-x

PubMed Abstract | Crossref Full Text | Google Scholar

188. Santamato, A, and Panza, F. Benefits and risks of non-approved injection regimens for botulinum toxins in spasticity. Drugs. (2017) 77:1413–22. doi: 10.1007/s40265-017-0786-1

PubMed Abstract | Crossref Full Text | Google Scholar

189. Facciorusso, S, Spina, S, Picelli, A, Baricich, A, Francisco, GE, Molteni, F, et al. The role of botulinum toxin type-a in spasticity: research trends from a bibliometric analysis. Toxins. (2024) 16:184. doi: 10.3390/toxins16040184

PubMed Abstract | Crossref Full Text | Google Scholar

190. Santamato, A, Micello, MF, Ranieri, M, Valeno, G, Albano, A, Baricich, A, et al. Employment of higher doses of botulinum toxin type a to reduce spasticity after stroke. J Neurol Sci. (2015) 350:1–6. doi: 10.1016/j.jns.2015.01.033

Crossref Full Text | Google Scholar

191. Engineer, ND, Kimberley, TJ, Prudente, CN, Dawson, J, Tarver, WB, and Hays, SA. Targeted vagus nerve stimulation for rehabilitation after stroke. Front Neurosci. (2019) 13:280. doi: 10.3389/fnins.2019.00280

PubMed Abstract | Crossref Full Text | Google Scholar

192. Khalid, S, Alnajjar, F, Gochoo, M, Renawi, A, and Shimoda, S. Robotic assistive and rehabilitation devices leading to motor recovery in upper limb: a systematic review. Disabil Rehabil Assist Technol. (2023) 18:658–72. doi: 10.1080/17483107.2021.1906960

PubMed Abstract | Crossref Full Text | Google Scholar

193. Molteni, F, Gasperini, G, Cannaviello, G, and Guanziroli, E. Exoskeleton and end-effector robots for upper and lower limbs rehabilitation: narrative review. PM R. (2018) 10:S174–88. doi: 10.1016/j.pmrj.2018.06.005

Crossref Full Text | Google Scholar

194. Louie, DR, and Eng, JJ. Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review. J Neuroeng Rehabil. (2016) 13:53. doi: 10.1186/s12984-016-0162-5

Crossref Full Text | Google Scholar

195. Spencer, J, Wolf, SL, and Kesar, TM. Biofeedback for post-stroke gait retraining: a review of current evidence and future research directions in the context of emerging technologies. Front Neurol. (2021) 12:637199. doi: 10.3389/fneur.2021.637199

PubMed Abstract | Crossref Full Text | Google Scholar

196. Hobbs, B, and Artemiadis, P. A review of robot-assisted lower-limb stroke therapy: unexplored paths and future directions in gait rehabilitation. Front Neurorobot. (2020) 14:19. doi: 10.3389/fnbot.2020.00019

PubMed Abstract | Crossref Full Text | Google Scholar

197. Pilla, A, Trigili, E, McKinney, Z, Fanciullacci, C, Malasoma, C, Posteraro, F, et al. Robotic rehabilitation and multimodal instrumented assessment of post-stroke elbow motor functions—a randomized controlled trial protocol. Front Neurol. (2020) 11:587293. doi: 10.3389/fneur.2020.587293

Crossref Full Text | Google Scholar

198. Cherry, COB, Chumbler, NR, Richards, K, Huff, A, Wu, D, Tilghman, LM, et al. Expanding stroke telerehabilitation services to rural veterans: a qualitative study on patient experiences using the robotic stroke therapy delivery and monitoring system program. Disabil Rehabil Assist Technol. (2017) 12:21–7. doi: 10.3109/17483107.2015.1061613

Crossref Full Text | Google Scholar

199. Das, A, Day, TW, Kulkarni, V, Buchanan, A, Cottrell, K, John, NW, et al. Towards intelligent extended reality in stroke rehabilitation: application of machine learning and artificial intelligence in rehabilitation In: Augmenting neurological disorder prediction and rehabilitation using artificial intelligence : Elsevier (2022). 309–29.

Google Scholar

200. Tuah, NM, Ahmedy, F, Gani, A, and Yong, LN. A survey on gamification for health rehabilitation care: applications, opportunities, and open challenges. Information. (2021) 12:91. doi: 10.3390/info12020091

Crossref Full Text | Google Scholar

201. Weber, LM, and Stein, J. The use of robots in stroke rehabilitation: a narrative review. NeuroRehabilitation. (2018) 43:99–110.

Google Scholar

202. Takebayashi, T, Takahashi, K, Okita, Y, Kubo, H, Hachisuka, K, and Domen, K. Impact of the robotic-assistance level on upper extremity function in stroke patients receiving adjunct robotic rehabilitation: sub-analysis of a randomized clinical trial. J Neuroeng Rehabil. (2022) 19:25. doi: 10.1186/s12984-022-00986-9

PubMed Abstract | Crossref Full Text | Google Scholar

203. Secoli, R, Milot, M-H, Rosati, G, and Reinkensmeyer, DJ. Effect of visual distraction and auditory feedback on patient effort during robot-assisted movement training after stroke. J Neuroeng Rehabil. (2011) 8:21. doi: 10.1186/1743-0003-8-21

PubMed Abstract | Crossref Full Text | Google Scholar

204. Turchetti, G, Vitiello, N, Trieste, L, Romiti, S, Geisler, E, and Micera, S. Why effectiveness of robot-mediated neurorehabilitation does not necessarily influence its adoption. IEEE Rev Biomed Eng. (2014) 7:143–53. doi: 10.1109/RBME.2014.2300234

PubMed Abstract | Crossref Full Text | Google Scholar

205. Gorman, C, and Gustafsson, L. The use of augmented reality for rehabilitation after stroke: a narrative review. Disabil Rehabil Assist Technol. (2022) 17:409–17. doi: 10.1080/17483107.2020.1791264

PubMed Abstract | Crossref Full Text | Google Scholar

206. Kim, W-S, Cho, S, Ku, J, Kim, Y, Lee, K, Hwang, H-J, et al. Clinical application of virtual reality for upper limb motor rehabilitation in stroke: review of technologies and clinical evidence. J Clin Med. (2020) 9:3369. doi: 10.3390/jcm9103369

PubMed Abstract | Crossref Full Text | Google Scholar

207. Sun, X, Ding, J, Dong, Y, Ma, X, Wang, R, Jin, K, et al. A survey of technologies facilitating home and community-based stroke rehabilitation. Int J Hum-Comput Interact. (2023) 39:1016–42. doi: 10.1080/10447318.2022.2050545

Crossref Full Text | Google Scholar

208. Patil, V, Narayan, J, Sandhu, K, and Dwivedy, SK. Integration of virtual reality and augmented reality in physical rehabilitation: a state-of-the-art review In: Revolutions in product design for healthcare: advances in product design and design methods for healthcare. Singapore: Springer (2022). 177–205.

Google Scholar

209. Kiper, P, Szczudlik, A, Agostini, M, Opara, J, Nowobilski, R, Ventura, L, et al. Virtual reality for upper limb rehabilitation in subacute and chronic stroke: a randomized controlled trial. Arch Phys Med Rehabil. (2018) 99:834–842.e4. doi: 10.1016/j.apmr.2018.01.023

PubMed Abstract | Crossref Full Text | Google Scholar

210. Draaisma, LR, Wessel, MJ, and Hummel, FC. Neurotechnologies as tools for cognitive rehabilitation in stroke patients. Expert Rev Neurother. (2020) 20:1249–61. doi: 10.1080/14737175.2020.1820324

PubMed Abstract | Crossref Full Text | Google Scholar

211. Maggio, MG, Latella, D, Maresca, G, Sciarrone, F, Manuli, A, Naro, A, et al. Virtual reality and cognitive rehabilitation in people with stroke: an overview. J Neurosci Nurs. (2019) 51:101–5. doi: 10.1097/JNN.0000000000000423

PubMed Abstract | Crossref Full Text | Google Scholar

212. Villeneuve, M, Ogourtsova, T, Deblock-Bellamy, A, Blanchette, A, Bühler, MA, Fung, J, et al. Development of a virtual reality-based intervention for community walking post stroke: an integrated knowledge translation approach. Disabil Rehabil. (2023):1–11. doi: 10.1080/09638288.2023.2277397

Crossref Full Text | Google Scholar

213. Faria, AL, Latorre, J, Cameirão, MS, Bermúdez I Badia, S, and Llorens, R. Ecologically valid virtual reality-based technologies for assessment and rehabilitation of acquired brain injury: a systematic review. Front Psychol. (2023) 14:1233346. doi: 10.3389/fpsyg.2023.1233346

Crossref Full Text | Google Scholar

214. Montalbán, MA, and Arrogante, O. Rehabilitation through virtual reality therapy after a stroke: a literature review In: Revista Científica de la Sociedad de Enfermería Neurológica (English ed.) (2020). 19–27.

Google Scholar

215. Glegg, SMN, and Levac, DE. Barriers, facilitators and interventions to support virtual reality implementation in rehabilitation: a scoping review. PM R. (2018) 10:1237–51.e1. doi: 10.1016/j.pmrj.2018.07.004

PubMed Abstract | Crossref Full Text | Google Scholar

216. Charles, D, Holmes, D, Charles, T, and McDonough, S. Virtual reality design for stroke rehabilitation In: Biomedical visualisation. Advances in experimental medicine and biology. Cham: Springer (2020). 53–87.

Google Scholar

217. Zuki, FSM, Sulaiman, S, Rambli, DRA, Merienne, F, and Saad, MNM. (2021). Sensory feedback and interactivity: Enhancing motivation and engagement for VR stroke rehabilitation. 2021 International Conference on Computer & Information Sciences (ICCOINS): IEEE.

Google Scholar

218. Hui, J, Lioumis, P, Blumberger, DM, and Daskalakis, ZJ. Non-invasive central neuromodulation with transcranial magnetic stimulation In: Stereotactic and functional neurosurgery: principles and applications. Cham: Springer (2020). 205–22.

Google Scholar

219. Fisicaro, F, Lanza, G, Grasso, AA, Pennisi, G, Bella, R, Paulus, W, et al. Repetitive transcranial magnetic stimulation in stroke rehabilitation: review of the current evidence and pitfalls. Ther Adv Neurol Disord. (2019) 12:175628641987831. doi: 10.1177/1756286419878317

Crossref Full Text | Google Scholar

220. Starosta, M, Cichoń, N, Saluk-Bijak, J, and Miller, E. Benefits from repetitive transcranial magnetic stimulation in post-stroke rehabilitation. J Clin Med. (2022) 11:2149. doi: 10.3390/jcm11082149

PubMed Abstract | Crossref Full Text | Google Scholar

221. Liepert, J, Bauder, H, Miltner, WH, Taub, E, and Weiller, C. Treatment-induced cortical reorganization after stroke in humans. Stroke. (2000) 31:1210–6. doi: 10.1161/01.STR.31.6.1210

PubMed Abstract | Crossref Full Text | Google Scholar

222. Lai, C-J, Wang, C-P, Tsai, P-Y, Chan, R-C, Lin, S-H, Lin, F-G, et al. Corticospinal integrity and motor impairment predict outcomes after excitatory repetitive transcranial magnetic stimulation: a preliminary study. Arch Phys Med Rehabil. (2015) 96:69–75. doi: 10.1016/j.apmr.2014.08.014

PubMed Abstract | Crossref Full Text | Google Scholar

223. Auriat, AM, Neva, JL, Peters, S, Ferris, JK, and Boyd, LA. A review of transcranial magnetic stimulation and multimodal neuroimaging to characterize post-stroke neuroplasticity. Front Neurol. (2015) 6:226. doi: 10.3389/fneur.2015.00226

Crossref Full Text | Google Scholar

224. Giordano, J, Bikson, M, Kappenman, ES, Clark, VP, Coslett, HB, Hamblin, MR, et al. Mechanisms and effects of transcranial direct current stimulation. Dose Response. (2017) 15:1559325816685467. doi: 10.1177/1559325816685467

PubMed Abstract | Crossref Full Text | Google Scholar

225. Santos Ferreira, I, Teixeira Costa, B, Lima Ramos, C, Lucena, P, Thibaut, A, and Fregni, F. Searching for the optimal tDCS target for motor rehabilitation. J Neuroeng Rehabil. (2019) 16:90. doi: 10.1186/s12984-019-0561-5

Crossref Full Text | Google Scholar

226. Lefebvre, S, and Liew, S-L. Anatomical parameters of tDCS to modulate the motor system after stroke: a review. Front Neurol. (2017) 8:29. doi: 10.3389/fneur.2017.00029

Crossref Full Text | Google Scholar

227. Otal, B, Dutta, A, Foerster, Á, Ripolles, O, Kuceyeski, A, Miranda, PC, et al. Opportunities for guided multichannel non-invasive transcranial current stimulation in poststroke rehabilitation. Front Neurol. (2016) 7:21. doi: 10.3389/fneur.2016.00021

Crossref Full Text | Google Scholar

228. Guimarães, AN, Porto, AB, Marcori, AJ, Lage, GM, Altimari, LR, and Okazaki, VHA. Motor learning and tDCS: a systematic review on the dependency of the stimulation effect on motor task characteristics or tDCS assembly specifications. Neuropsychologia. (2023) 179:108463. doi: 10.1016/j.neuropsychologia.2022.108463

PubMed Abstract | Crossref Full Text | Google Scholar

229. Olgiati, E, and Malhotra, PA. Using non-invasive transcranial direct current stimulation for neglect and associated attentional deficits following stroke. Neuropsychol Rehabil. (2022) 32:735–66. doi: 10.1080/09602011.2020.1805335

PubMed Abstract | Crossref Full Text | Google Scholar

230. Takeda, K, Tanino, G, and Miyasaka, H. Review of devices used in neuromuscular electrical stimulation for stroke rehabilitation In: Medical devices: evidence and research : Taylor & Francis (2017). 207–13.

Google Scholar

231. Chae, J, and Yu, DT. Neuromuscular electrical stimulation for motor restoration in hemiparesis. Top Stroke Rehabil. (2002) 8:24–39. doi: 10.1310/REXB-AKV9-2XBE-U5QA

Crossref Full Text | Google Scholar

232. Sabut, SK, Sikdar, C, Mondal, R, Kumar, R, and Mahadevappa, M. Restoration of gait and motor recovery by functional electrical stimulation therapy in persons with stroke. Disabil Rehabil. (2010) 32:1594–603. doi: 10.3109/09638281003599596

PubMed Abstract | Crossref Full Text | Google Scholar

233. Nagai, MK, Marquez-Chin, C, and Popovic, MR. Why is functional electrical stimulation therapy capable of restoring motor function following severe injury to the central nervous system? In: Translational neuroscience: fundamental approaches for neurological disorders. Boston, MA: Springer (2016). 479–98.

Google Scholar

234. Cheung, VC, Niu, CM, Li, S, Xie, Q, and Lan, N. A novel FES strategy for poststroke rehabilitation based on the natural organization of neuromuscular control. IEEE Rev Biomed Eng. (2018) 12:154–67. doi: 10.1109/RBME.2018.2874132

Crossref Full Text | Google Scholar

235. Tepavac, D, and Schwirtlich, L. Detection and prediction of FES-induced fatigue. J Electromyogr Kinesiol. (1997) 7:39–50. doi: 10.1016/S1050-6411(96)00008-9

PubMed Abstract | Crossref Full Text | Google Scholar

236. Niu, CM, Bao, Y, Zhuang, C, Li, S, Wang, T, Cui, L, et al. Synergy-based FES for post-stroke rehabilitation of upper-limb motor functions. IEEE Trans Neural Syst Rehabil Eng. (2019) 27:256–64. doi: 10.1109/TNSRE.2019.2891004

PubMed Abstract | Crossref Full Text | Google Scholar

237. Lyons, G, Wilcox, D, Lyons, D, and Hilton, D. (2000). Evaluation of a drop foot stimulator FES intensity envelope matched to tibialis anterior muscle activity during walking. Proceedings of Fifth Annual Conference of the International Functional Electrical Stimulation Society: IFESS. Aalborg.

Google Scholar

238. Bala, S, Vishnu, VY, and Joshi, D. Muscle synergy-based functional electrical stimulation reduces muscular fatigue in post-stroke patients: a systematic comparison. IEEE Trans Neural Syst Rehabil Eng. (2023) 31:2858–71. doi: 10.1109/TNSRE.2023.3290293

PubMed Abstract | Crossref Full Text | Google Scholar

239. Hebert, D, Lindsay, MP, McIntyre, A, Kirton, A, Rumney, PG, Bagg, S, et al. Canadian stroke best practice recommendations: stroke rehabilitation practice guidelines, update 2015. Int J Stroke. (2016) 11:459–84. doi: 10.1177/1747493016643553

PubMed Abstract | Crossref Full Text | Google Scholar

240. Paul, D, Mukherjee, M, and Bakshi, A. A review of brain-computer interface In: Advances in medical physics and healthcare engineering. Singapore: Springer (2020). 507–31.

Google Scholar

241. Chaudhary, U, Birbaumer, N, and Ramos-Murguialday, A. Brain-computer interfaces for communication and rehabilitation. Nat Rev Neurol. (2016) 12:513–25. doi: 10.1038/nrneurol.2016.113

Crossref Full Text | Google Scholar

242. Mane, R, Ang, KK, and Guan, C. Brain-computer interface for stroke rehabilitation In: Handbook of neuroengineering. Singapore: Springer (2023). 1285–315.

Google Scholar

243. He, B, Yuan, H, Meng, J, and Gao, S. Brain-computer interfaces In: Neural engineering. Cham: Springer (2020). 131–83.

Google Scholar

244. Ramadan, RA, and Vasilakos, AV. Brain computer interface: control signals review. Neurocomputing. (2017) 223:26–44. doi: 10.1016/j.neucom.2016.10.024

Crossref Full Text | Google Scholar

245. Daly, JJ, and Wolpaw, JR. Brain-computer interfaces in neurological rehabilitation. Lancet Neurol. (2008) 7:1032–43. doi: 10.1016/S1474-4422(08)70223-0

Crossref Full Text | Google Scholar

246. Remsik, A, Young, B, Vermilyea, R, Kiekhoefer, L, Abrams, J, Evander Elmore, S, et al. A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke. Expert Rev Med Devices. (2016) 13:445–54. doi: 10.1080/17434440.2016.1174572

PubMed Abstract | Crossref Full Text | Google Scholar

247. Bernhardt, J, Hayward, KS, Dancause, N, Lannin, NA, Ward, NS, Nudo, RJ, et al. A stroke recovery trial development framework: consensus-based core recommendations from the second stroke recovery and rehabilitation roundtable. Neurorehabil Neural Repair. (2019) 33:959–69. doi: 10.1177/1545968319888642

Crossref Full Text | Google Scholar

248. Korner-Bitensky, N, Barrett-Bernstein, S, Bibas, G, and Poulin, V. National survey of Canadian occupational therapists’ assessment and treatment of cognitive impairment post-stroke. Aust Occup Ther J. (2011) 58:241–50. doi: 10.1111/j.1440-1630.2011.00943.x

PubMed Abstract | Crossref Full Text | Google Scholar

249. Seabury, S, Bognar, K, Xu, Y, Huber, C, Commerford, SR, and Tayama, D. Regional disparities in the quality of stroke care. Am J Emerg Med. (2017) 35:1234–9. doi: 10.1016/j.ajem.2017.03.046

Crossref Full Text | Google Scholar

250. Longley, V, Peters, S, Swarbrick, C, and Bowen, A. What factors affect clinical decision-making about access to stroke rehabilitation? A systematic review. Clin Rehabil. (2019) 33:304–16. doi: 10.1177/0269215518808000

PubMed Abstract | Crossref Full Text | Google Scholar

251. Palozzi, G, Schettini, I, and Chirico, A. Enhancing the sustainable goal of access to healthcare: findings from a literature review on telemedicine employment in rural areas. Sustainability. (2020) 12:3318. doi: 10.3390/su12083318

Crossref Full Text | Google Scholar

252. Alhasani, R, Radman, D, Auger, C, Lamontagne, A, and Ahmed, S. Perspectives of clinicians and survivors on the continuity of service provision during rehabilitation after acquired brain injury. PLoS One. (2023) 18:e0284375. doi: 10.1371/journal.pone.0284375

Crossref Full Text | Google Scholar

253. Miller, CM, and Behrouz, R. Impact of infection on stroke morbidity and outcomes. Curr Neurol Neurosci Rep. (2016) 16:83. doi: 10.1007/s11910-016-0679-9

Crossref Full Text | Google Scholar

254. Poisson, SN, Johnston, SC, and Josephson, SA. Urinary tract infections complicating stroke: mechanisms, consequences, and possible solutions. Stroke. (2010) 41:e180–4. doi: 10.1161/STROKEAHA.109.576413

PubMed Abstract | Crossref Full Text | Google Scholar

255. Katzan, IL, Cebul, RD, Husak, S, Dawson, N, and Baker, D. The effect of pneumonia on mortality among patients hospitalized for acute stroke. Neurology. (2003) 60:620–5. doi: 10.1212/01.WNL.0000046586.38284.60

Crossref Full Text | Google Scholar

256. Langhorne, P, Stott, D, Robertson, L, Mac Donald, J, Jones, L, McAlpine, C, et al. Medical complications after stroke: a multicenter study. Stroke. (2000) 31:1223–9. doi: 10.1161/01.STR.31.6.1223

Crossref Full Text | Google Scholar

257. Westendorp, WF, Nederkoorn, PJ, Vermeij, J-D, Dijkgraaf, MG, and van de Beek, D. Post-stroke infection: a systematic review and meta-analysis. BMC Neurol. (2011) 11:110. doi: 10.1186/1471-2377-11-110

Crossref Full Text | Google Scholar

258. Finlayson, O, Kapral, M, Hall, R, Asllani, E, Selchen, D, and Saposnik, G. Risk factors, inpatient care, and outcomes of pneumonia after ischemic stroke. Neurology. (2011) 77:1338–45. doi: 10.1212/WNL.0b013e31823152b1

Crossref Full Text | Google Scholar

259. Sumner, J, Lim, HW, Chong, LS, Bundele, A, Mukhopadhyay, A, and Kayambu, G. Artificial intelligence in physical rehabilitation: a systematic review. Artif Intell Med. (2023) 146:102693. doi: 10.1016/j.artmed.2023.102693

PubMed Abstract | Crossref Full Text | Google Scholar

260. Adans-Dester, CP, Lang, CE, Reinkensmeyer, DJ, and Bonato, P. Wearable sensors for stroke rehabilitation In: Neurorehabilitation technology : Springer International Publishing (2022). 467–507.

Google Scholar

261. Teasell, R, Salbach, NM, Foley, N, Mountain, A, Cameron, JI, Jong, A, et al. Canadian stroke best practice recommendations: rehabilitation, recovery, and community participation following stroke. Part one: rehabilitation and recovery following stroke; update 2019. Int J Stroke. (2020) 15:763–88. doi: 10.1177/1747493019897843

PubMed Abstract | Crossref Full Text | Google Scholar

262. Clarke, DJ, and Forster, A. Improving post-stroke recovery: the role of the multidisciplinary health care team. J Multidiscip Healthc. (2015) 8:433–42. doi: 10.2147/JMDH.S68764

PubMed Abstract | Crossref Full Text | Google Scholar

263. Tosto-Mancuso, J, Tabacof, L, Herrera, JE, Breyman, E, Dewil, S, Cortes, M, et al. Gamified neurorehabilitation strategies for post-stroke motor recovery: challenges and advantages. Curr Neurol Neurosci Rep. (2022) 22:183–95. doi: 10.1007/s11910-022-01181-y

PubMed Abstract | Crossref Full Text | Google Scholar

264. Aderinto, N, Abdul Basit, MO, Olatunji, G, and Adejumo, T. Exploring the transformative influence of neuroplasticity on stroke rehabilitation: a narrative review of current evidence. Ann Med Surg. (2023) 85:4425–32. doi: 10.1097/MS9.0000000000001137

PubMed Abstract | Crossref Full Text | Google Scholar

265. Baniqued, PDE, Stanyer, EC, Awais, M, Alazmani, A, Jackson, AE, Mon-Williams, MA, et al. Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review. J Neuroeng Rehabil. (2021) 18:15. doi: 10.1186/s12984-021-00820-8

Crossref Full Text | Google Scholar