The neurorehabilitation field has generally fallen under the purview of physical and occupational therapists that follow well-established protocols and procedures to determine the most optimal course of action to help individuals with neurological trauma or disease recover function. However, a significant proportion of these treatments rely on subjective measures that may vary from therapist to therapist or may rely on simplified metrics that do not encompass the complexity and variability, across and within, of neurological conditions, patient-specific physiology, and the environments in which they may find themselves. New advances in the field have implemented engineering principles to develop and introduce approaches that rely on real-time feedback to provide patient-specific and environment-specific treatment, make use of artificial intelligence to make informed clinical decisions, and/or implement computational algorithms that learn alongside the patient to optimize treatment.
The goal of this research topic is to highlight new advances in adaptive neurorehabilitation and generate interest in new “smart” rehabilitation technology and methodology. The topic will include both original and review articles regarding novel approaches to adaptive and/or closed-loop neurorehabilitation to restore function after neurological trauma or disease, such as spinal cord injury, stroke, cerebral palsy, Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis (ALS). Original research can lie in the computational, pre-clinical, or clinical stage of the translational pathway. The objective of this research topic is to promote the eventual use of these technologies in clinical settings and ultimately deliver effective neurorehabilitation that is patient-specific, further increasing the likelihood of recovery and return to normalcy for anyone living with these neurological conditions.
We invite all researchers and clinicians in the field to submit manuscripts for consideration in this Research Topic. Manuscripts may range from literature reviews to original research. We encourage submission of multidisciplinary projects, papers with strong implications for practice, and with a high translational potential. We welcome research that encompass the following:
• Development of adaptive and/or closed-loop algorithms with applications in neurorehabilitation.
• Development of rehabilitative technology that implements real-time physiological data to provide personalized treatment.
• Use of novel physiological and/or objective metrics to provide patient-specific rehabilitative interventions.
• Application of neurorehabilitation therapies that implement closed-loop and/or adaptive technology and strategies.
• Development and use of technology and methodology that utilize external factors when in a community or natural setting to determine the optimal function to be performed. These include ecological momentary assessment/intervention principles.
• Novel neurorehabilitation applications of existing technology with closed-loop and/or adaptive features.
• Development and/or application of Brain-Computer Interfaces with rehabilitative potential.
• Development or implementation of computational models to validate and/or refine any of the previously mentioned adaptive technologies/methodologies or to explain mechanisms of action of these approaches.
The neurorehabilitation field has generally fallen under the purview of physical and occupational therapists that follow well-established protocols and procedures to determine the most optimal course of action to help individuals with neurological trauma or disease recover function. However, a significant proportion of these treatments rely on subjective measures that may vary from therapist to therapist or may rely on simplified metrics that do not encompass the complexity and variability, across and within, of neurological conditions, patient-specific physiology, and the environments in which they may find themselves. New advances in the field have implemented engineering principles to develop and introduce approaches that rely on real-time feedback to provide patient-specific and environment-specific treatment, make use of artificial intelligence to make informed clinical decisions, and/or implement computational algorithms that learn alongside the patient to optimize treatment.
The goal of this research topic is to highlight new advances in adaptive neurorehabilitation and generate interest in new “smart” rehabilitation technology and methodology. The topic will include both original and review articles regarding novel approaches to adaptive and/or closed-loop neurorehabilitation to restore function after neurological trauma or disease, such as spinal cord injury, stroke, cerebral palsy, Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis (ALS). Original research can lie in the computational, pre-clinical, or clinical stage of the translational pathway. The objective of this research topic is to promote the eventual use of these technologies in clinical settings and ultimately deliver effective neurorehabilitation that is patient-specific, further increasing the likelihood of recovery and return to normalcy for anyone living with these neurological conditions.
We invite all researchers and clinicians in the field to submit manuscripts for consideration in this Research Topic. Manuscripts may range from literature reviews to original research. We encourage submission of multidisciplinary projects, papers with strong implications for practice, and with a high translational potential. We welcome research that encompass the following:
• Development of adaptive and/or closed-loop algorithms with applications in neurorehabilitation.
• Development of rehabilitative technology that implements real-time physiological data to provide personalized treatment.
• Use of novel physiological and/or objective metrics to provide patient-specific rehabilitative interventions.
• Application of neurorehabilitation therapies that implement closed-loop and/or adaptive technology and strategies.
• Development and use of technology and methodology that utilize external factors when in a community or natural setting to determine the optimal function to be performed. These include ecological momentary assessment/intervention principles.
• Novel neurorehabilitation applications of existing technology with closed-loop and/or adaptive features.
• Development and/or application of Brain-Computer Interfaces with rehabilitative potential.
• Development or implementation of computational models to validate and/or refine any of the previously mentioned adaptive technologies/methodologies or to explain mechanisms of action of these approaches.