Luka Šlosar
Manca Peskar
Rado Pišot1
Uros Marusic- 1Science and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia
- 2Alma Mater Europaea – ECM, Department of Health Sciences, Maribor, Slovenia
- 3Biological Psychology and Neuroergonomics, Department of Psychology and Ergonomics, Faculty V: Mechanical Engineering and Transport Systems, Technische Universität Berlin, Berlin, Germany
Prolonged bed rest causes a multitude of deleterious physiological changes in the human body that require interventions even during immobilization to prevent or minimize these negative effects. In addition to other interventions such as physical and nutritional therapy, non-physical interventions such as cognitive training, motor imagery, and action observation have demonstrated efficacy in mitigating or improving not only cognitive but also motor outcomes in bedridden patients. Recent technological advances have opened new opportunities to implement such non-physical interventions in semi- or fully-immersive environments to enable the development of bed rest countermeasures. Extended Reality (XR), which covers augmented reality (AR), mixed reality (MR), and virtual reality (VR), can enhance the training process by further engaging the kinesthetic, visual, and auditory senses. XR-based enriched environments offer a promising research avenue to investigate the effects of multisensory stimulation on motor rehabilitation and to counteract dysfunctional brain mechanisms that occur during prolonged bed rest. This review discussed the use of enriched environment applications in bedridden patients as a promising tool to improve patient rehabilitation outcomes and suggested their integration into existing treatment protocols to improve patient care. Finally, the neurobiological mechanisms associated with the positive cognitive and motor effects of an enriched environment are highlighted.
Introduction
Prolonged bed rest has been identified as a risk factor for physiological deconditioning since 1947. A seminal study entitled “The Dangers of Going to Bed,” (Asher, 1947) called attention to the risks it posed to older adults and the general population. Recent research conducted on hospitalized older adults has revealed that these patients spend up to 86% of their hospital days inactive, even though only a small percentage of cases, 5%, had a medical indication for bed rest (Jasper et al., 2020). This type of behavior is detrimental to both the physical and mental health of patients and poses a significant risk for functional independence and chronic disability, collectively referred to as hospital-associated disability (Loyd et al., 2020).
Recent advances in the field of aerospace science and the development of experimental models of forced bed rest in healthy subjects provided a better physiological understanding of immobilization and strategies to counteract immobilization-induced functional deterioration. Prolonged immobilization can lead to adverse consequences not only in older adults, but also in younger individuals, affecting cardiovascular (Hoffmann et al., 2022), endocrine (Belavy et al., 2012), immune (Hoff et al., 2015), gastrointestinal (Iovino et al., 2013), vestibular (Dyckman et al., 2012), and cognitive (Lipnicki et al., 2009) systems. An interesting phenomena of non-uniform loss of muscle mass and strength was recently systematically reviewed on 318 subjects exposed to experimental bed rest (Marusic et al., 2021). After longer periods of bed rest, such as 35 days, the decline in strength was found to be two times higher compared to muscle atrophy. In the early days of bed rest, such as 5 days, even higher ratios were reported (Marusic et al., 2021). These findings raise new questions about the underlying mechanisms responsible for the disproportionate decline in strength compared with muscle atrophy. They also highlight the importance of early interventions to prevent or minimize the adverse effects of prolonged bed rest.
Body posture and prolonged bed rest also directly affect the brain, which was mainly studied with electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). One of the first reviews to examine EEG dynamics under bed rest conditions reported changes in the theta and alpha bands suggestive of cortical inhibition, and highlighted the need for further evidence in this area (Marušič et al., 2014). More specifically, the 6° head-down tilt position (HDTP) during the bed rest reduced the resting-state spectral power within the delta, theta, alpha, and beta frequency bands (Brauns et al., 2021b). Lower activity in alpha and beta frequency bands was also observed in several sources within the centroparietal and occipital regions. These effects occurred shortly after posture establishment, remained stable during 60 days of bed rest, and returned to baseline upon the end of the bed rest (Brauns et al., 2021b). In addition to posture-specific changes in brain activity, functional brain changes, such as decreased amplitudes of P300 and late positive potential (LPP) of the event-related potentials (ERPs) indicated that 30-day bed rest adversely affected affective picture processing suggesting that physical inactivity might play a role in emotion regulation. These effects were localized in the insula, precuneus, and cingulate gyrus (Brauns et al., 2019). Furthermore, the investigation into electrocortical correlates of selective attention showed that a 60-day bed rest negatively affected task performance and ERP potentials in fronto-central and parietal brain regions. Importantly, these data did not return to their baseline values after an eight-day recovery period (Brauns et al., 2021a). A preliminary data on eight bedridden healthy older adults showed increased P100 and P200 amplitudes and decreased P100 latencies after being exposed to 14 days of horizontal bed rest (Marušiè et al., 2021). Finally, Friedl-Werner et al. (2020) used fMRI to show impaired memory formation and associated dysfunctional mechanisms in the hippocampus and parahippocampus after 60 days of continuous bed rest. Taken together, these studies suggest that immobilization and inactivity resulting from prolonged bed rest induce functional brain changes and cognitive impairments, the recovery of which may be longer than the cessation of bed rest. To counteract the formation of dysfunctional brain mechanisms and cognitive impairment, appropriate intervention strategies must be implemented during bed rest as part of a comprehensive recovery strategy. The recovery process following prolonged bed rest deconditioning is a complex and multifactorial process influenced by several factors, including the duration of bed rest, age, overall health status, and the degree of deconditioning. In older adults, the detrimental effects of skeletal muscle deconditioning are particularly pronounced and may even lead to catabolic changes in muscle tissue that favor the development of sarcopenia, as shown in a recent meta-analysis (Di Girolamo et al., 2021). In addition to various countermeasures developed to alleviate the deleterious effects of prolonged immobilization, such as centrifugation (Kramer et al., 2020), nutritional support (Gao and Chilibeck, 2020), and aerobic interventions (Holt et al., 2016), non-physical rehabilitation interventions (Marusic and Grosprêtre, 2018) administered during immobilization resulted in significant improvements in cognitive (Marusic et al., 2018, 2019) as well as physical function (Marusic et al., 2015; Paravlic et al., 2018). Non-physical rehabilitation encompasses interventions that focus on cognitive and/or sensory stimulation to improve cognitive and physical function rather than physical exercise or movement. Interventions aimed at enhancing sensory stimulation include multiple modalities, including visual, auditory, and tactile stimulation, with the goal of promoting an engaging and interactive experience for the individual. Virtual reality (VR) as a form of enriched environment holds the potential of a breakthrough technology for non-physical rehabilitation by providing multisensory information and more realistic simulations to improve patient rehabilitation outcomes. This paper reviewed current non-physical rehabilitation practices, assessed the potential impact of integrating VR systems in enhancing the recovery process, and finally highlighted the implicated neurobiological mechanisms associated with beneficial cognitive, and motor effects of enriched environment exposure. The report provided a synthesis of existing empirical evidence and suggested future avenues for investigation in this field.
Non-physical rehabilitation techniques
The frailty commonly experienced by bedridden patients poses a challenge to the implementation of conventional physical rehabilitation therapies in the early stages of hospitalization. The resulting deprivation of sensory input, including somatosensory and proprioceptive information, along with bed confinement, leads to rapid alterations in the organization of the sensorimotor system (Langer et al., 2012). These alterations revealed to have detrimental effects on postural balance and mobility (Koppelmans et al., 2017), movement duration and accuracy (Bassolino et al., 2012), tactile acuity (Lissek et al., 2009), and muscle properties (Clark et al., 2006). The decline in motor performance is attributed to the lack of feedback and feedforward mechanisms of motor control, which affects postural predictions and real-time movement adjustments (Scotto et al., 2020). To counteract immobilization-induced functional decline, non-physical rehabilitation methods such as cognitive interventions (CI), motor imagery (MI), action observation (AO), and their combination, provide a valuable compensatory strategy (Marusic and Grosprêtre, 2018). These types of interventions can create an enriched environment in which certain cognitive functions can be trained (Marusic and Grosprêtre, 2018) or even a neural resemblance to actual voluntary movement can be established (Fox et al., 2016; Grosprêtre et al., 2016).
The field of CI encompasses various approaches, such as cognitive stimulation, cognitive rehabilitation, and cognitive training, as described by Marusic and Grosprêtre (2018). Briefly, cognitive stimulation involves social and group cognitive activities, including discussions and therapeutic conversations, with the goal of improving social and cognitive functioning. Cognitive rehabilitation uses personalized programs to improve activities of daily living, with healthcare providers, patients, and families working together to achieve goals primarily by improving cognitive function. Cognitive training consists of personalized, guided exercises tailored to individual abilities to improve cognitive function and can be delivered in paper-pencil or computerized versions (Marusic and Grosprêtre, 2018). As for the effects of bed rest on cognitive function, the results are still controversial; some studies indicated a positive (facilitating) effect, while others showed the opposite (Lipnicki and Gunga, 2009). Although there is limited literature on cognitive interventions during bed rest (Marusic et al., 2019), it is reasonable to assume that cognition (such as working memory, selective attention, inhibition, and cognitive flexibility) forms the basis of any non-physical intervention.
MI in which movements are mentally rehearsed through a kinesthetic experience or a visual representation with an internal or external perspective (Decety, 1996) elicits intracortical and corticospinal modulations that attenuate the deleterious effects of immobilization (Rannaud Monany et al., 2022). The kinesthetic experience, i.e., imagining the sensation experienced during the action, showed to be more efficient in motor learning (Fontani et al., 2014), in gaining (Yao et al., 2013), and in maintaining muscle strength (Paravlic et al., 2018), thus being generally more successful in activating sensorimotor representations (Meugnot et al., 2015; Oldrati et al., 2021). At the neurological level, the use of kinesthetic imagery resulted in greater similarity of activated brain networks to actual motor execution compared to visual methods (Yang et al., 2021). The results may be attributed to the insufficient sensory information in visual MI, which negatively affects the individual’s ability to form a vivid and detailed representation of the movement. Studies employing a combination of AO and MI showed increased effectiveness in motor learning and rehabilitation outcomes, supporting to our hypothesis and demonstrating superiority over the use of each method individually (Eaves et al., 2016; Marusic and Grosprêtre, 2018). In this combined approach, the internally generated kinesthetic representations of an action are synchronized with the concurrent perception of the movement, augmenting the sensory experience of individuals through the integration of visual and auditory inputs, thereby enhancing the vividness of the MI task and leading to an increased sense of embodiment (Meers et al., 2020). With this in mind, the integration of enriched environments such as VR, which create the illusion of physical movement, has the potential to enhance the activation of motor-related brain regions. As a result, specific neural circuits are further activated, facilitating the desired neuroplastic adaptations (Slater, 2017).
Enriched environments: a multisensory approach for enhanced rehabilitation
In everyday life, people are typically exposed to variety of multimodal experiences, from the sounds of nature to the sights of the surrounding environment. However, in a hospital setting, these experiences are often limited, leading to a more restricted sensory experience. In addition, patients’ attention may be disproportionately focused on their struggles, which may impair their ability to participate effectively in the rehabilitation process.
Despite the effectiveness of MI and AO in mitigating the loss of various physiological factors and facilitating motor recovery in bedridden patients, the implementation of these practices is generally limited to highly controlled and structured rehabilitation environments with limited variability and complexity compared with the unpredictable and dynamic nature of daily living. Failure to consider the impact of broader contextual factors, such as emotional and environmental influences, on real-world performance will limit the rehabilitation experience and may compromise the overall effectiveness of rehabilitation outcomes. XR-based environmental enrichment systems, in contrast, allow for the implementation of realistic scenarios engaging the patient’s sensorimotor system (Brugada-Ramentol et al., 2022) due to the enhanced simulation of the kinesthetic, visual, and auditory senses. Moreover, the three-dimensionality (3D) of VR showed to elicit stronger fronto-parietal activations compared to AO and its two-dimensional (2D) representations (Jastorff et al., 2016).
Recent systematic reviews and meta-analyses have demonstrated the efficacy of VR in the rehabilitation of various conditions, including stroke (Leong et al., 2022), Parkinson’s disease (Kashif et al., 2022), and cerebral palsy (Ziab et al., 2022), with demonstrated functional improvements (Howard, 2017) and structural changes in the brain (Feitosa et al., 2022). However, according to Šlosar et al. (2022), a clearer terminology for the variety of digital environments (see Figure 1 for an overview) should be used to study the effects of interventions. Following this terminology, we proposed to use such non-physical interventions in conjunction with technological advances (Figure 1) in bedridden patients to mitigate the deterioration caused by bed rest.
Figure 1. Evolution of intervention systems for bedridden patients: from real environment to fully immersive technologies. Intervention systems for bedridden patients have evolved over time, beginning with motor imagery (MI) and cognitive training (CT) in real environments (RE). These interventions have been enhanced with the use of personal computers and consoles (PC), incorporating action observation (AO) and displaying images through various screens. Advancements in technology have now made it possible to employ extended reality (XR) applications, such as virtual reality (VR), augmented reality (AR), and mixed reality (MR), in combination with MI or CT. Future developments aim to create fully immersive technologies that stimulate both the interoceptive and exteroceptive senses, a concept referred to as “Matrix-like” VR (MX).
Personal computers and consoles with displays and controlling gadgets (PC)
In a 14-day bed rest study (Marusic et al., 2015), a computer-assisted spatial navigation intervention consisting of moving through virtual environments using a joystick controller was used to counteract the adverse effects of immobilization on gait performance in healthy older adults. Compared with the control group (passive watching of TV), the intervention group showed significant improvement in dual-task effects for self-selected and fast paced gait speed after bed rest. In the same study, control subjects were found to have increased gait variability under dual-task conditions (Marusic et al., 2015). The effects of such an intervention are explained in more detail in Marusic et al. (2019). In a usability study, Knols et al. (2017) demonstrated high acceptance and adherence to a gaming console adapted to be easily positioned at the patient bedside. Despite lacking clinical validation, the COPHYCON prototype showed significant short-term effects on measures of prefrontal cortex function in healthy elderly participants. In a study with patients with spinal cord injury (Villiger et al., 2013), an interactive game was integrated into an AO plus execution protocol. Wheelchair-bound participants were asked to observe an avatar performing movements with the lower limbs, and then mimic these movements by ankle flexion, hip extension, knee flexion, and leg adduction/abduction to control the avatar and complete gaming tasks. After a 4-week intervention period, assessments of gait capacity, postural stability, and muscle strength showed significant gains in lower extremity functionality. In addition, 50% of participants experienced reductions in both the intensity and unpleasantness of neuropathic pain symptoms. A study by Roosink et al. (2016) explored the use of a virtual feedback mechanism in a MI intervention for patients with the same pathology. The rehabilitation protocol consisted of performing MI of walking while seated in a wheelchair in front of a screen displaying an avatar walking through a forest. Participants were asked to concentrate on the sensory experiences produced by the interactive feedback, which was triggered by swinging their arms equipped with inertial sensors to match the pace of the imagined walking. The feasibility study reported improved vividness of MI with minimal adverse effects, indicating promising results for the response to MI interventions utilizing interactive feedback. Im et al. (2016) investigated the effects of combining MI (kinaestheic imagination of movements) with an interactive feedback mechanism on corticomotor excitability in both healthy older adults and stroke patients. They found that the combination resulted in increased amplitudes of motor evoked potentials compared to MI alone. This has significant implications for rehabilitation and recovery during periods of immobilization, as the combined approach can be utilized to target specific motor functions and improve motor performance, aiding in the recovery of lost motor abilities.
Virtual reality (VR)
In contrast to PC-assisted interventions, VR systems allow users to experience a fully synthetic, computer-generated digital environment that replaces the physical world (Šlosar et al., 2022). The increased sense of embodiment that is perceived positively influences the user’s perception of their own body movements (Kong et al., 2017), leading to more accurate and effective outcomes in physical therapy. At the neurophysiological level, a study by Choi et al. (2020) demonstrated that event-related desynchronizations exhibited greater amplitudes with more distinct spatial features of the brain when MI is performed using a VR headset, compared to the display of the same images on a monitor. This modulation of neural activity by the degree of immersion provides important evidence for the use of VR technology in rehabilitation practice for bedridden patients (Xie et al., 2022). A recent study by Köyağasıoğlu et al. (2022) found that a 4-week intervention combining VR and MI significantly improved balance skills in healthy adults. While no significant differences were found in the center of pressure variable using a stabilometry device compared to a group combining PC and MI, the VR group demonstrated superior results on the Star Excursion Balance Test, particularly in posteromedial and posterolateral reach distances. In a similar experimental design, Bedir and Erhan (2021) compared the effects of 2D vs. 3D MI intervention on shot performances of archery, bowling, and curling athletes. Their findings showed the advantages of VR mental training in terms of shot performance after the 4-week training period. Yoshimura et al. (2020) investigated the effects of a VR contribution to the MI practice on the acquisition of prosthetic control using a prosthetic simulator in healthy individuals. Although the study was conducted with non-amputee participants, it yielded positive results in terms of supporting the daily activities of amputees, as evidenced by the enhancement in short-term prosthetic control acquisition following the acute practice of VR plus MI. In addition, self-assessed VR-based AO immersion level was found to have a negative correlation with the execution time of the bilateral manual dexterity task, supporting the idea that immersion is a crucial modulator of experience (Cummings and Bailenson, 2016) and thus has a positive influence on motor learning performance. See Table 1 for an overview of the potential benefits and distinctive features of different enriched environment approaches in long-term immobilization.
Table 1. Comparative overview of intervention approaches for enriched environment.
In cases of functional decline due to immobilization, XR holds the potential to mitigate the early stages of muscle disuse-related declines in strength, which are attributed to loss of neuromuscular function (Campbell et al., 2019). The central and peripheral neural changes that occur can be effectively counteracted by corticospinal excitability elicited by MI in combination with VR. To illustrate the potential benefits of this approach, we adapted the figure from Marusic et al. (2021) showing the effects of bed rest on muscle atrophy and strength by adding a curve depicting the hypothetical decline in muscle strength if a XR intervention were implemented in conjunction with non-physical training interventions (Figure 2).
Figure 2. Speculative decline in muscle strength following XR intervention in conjunction with non-physical intervention: Adapted from Marusic et al. (2021).
Despite the physical limitations imposed by illness or postoperative conditions that prevent patients from participating in conventional physical therapy, the psychosocial aspect of recovery is often overlooked. Previous research has found an association between the presence of anxiety and depressive symptoms and prolonged bed rest after discharge from critical care (Peris et al., 2011) and in experimental studies of bed rest (Ishizaki et al., 1994; Dimec Èasar, 2015). Enriched environments have been shown to be a critical tool in motivating patients to participate in rehabilitation practices (Boiko et al., 2022). They provide a stimulating and engaging atmosphere that promotes mental and emotional well-being, thus addressing patients’ often neglected psychosocial needs, resulting in better overall outcomes.
Neurobiological mechanisms supporting beneficial effects of enriched environments
Several enriched environments related neurobiological mechanisms have thus far been recognized as neuroprotective and their effectiveness was also demonstrated in neurodegenerative disorders, such as in delaying the onset of Alzheimer’s disease (AD) (Liew et al., 2022) and the progression of Parkinson’s Disease (PD) (Alarcón et al., 2023). The following paragraphs highlight the most commonly known mechanisms, however, are not meant to provide an extensive overview (for this, see Liew et al., 2022; Alarcón et al., 2023).
Several animal studies have demonstrated that exposure to enriched environments led to beneficial effects on hippocampal structures, such as promoting hippocampal neurogenesis (Garthe et al., 2016), as well as increasing proliferation of progenitor cells and hippocampal cell survival (Olson et al., 2006; Ramírez-Rodríguez et al., 2014; Grońska-Pęski et al., 2021). Furthermore, the enriched environments exposure also restored the impaired neurogenesis in adult transgenic rodent models of AD after the deposition of Aβ plaques (Rodriguez et al., 2011; Valero et al., 2011; Llorens-Martín et al., 2013). The structural changes increasing the volume of the hippocampus may result in improved cognitive function (Hüttenrauch et al., 2016), while the hippocampal activity of the excitatory neurons could promote learning and memory formation (Stuchlik, 2014). Furthermore, enriched environments revealed to promote the expression of neurotrophins, such as the brain-derived neurotrophic factor (BDNF) (Kazlauckas et al., 2011; Kondo et al., 2012; Xu et al., 2015; Dandi et al., 2018), and nerve growth factors (NGF) (Torasdotter et al., 1998; Gelfo et al., 2011), which induce the differentiation and survival of neurons (Miranda et al., 2019), and regulate the excitatory and inhibitory transmission in the adult brain.
The dopaminergic system plays a central role in the pathology of PD and its dysfunction was implicated in movement and coordination difficulties (Glenthøj and Fibiger, 2019). Rodent models of PD mimic the neurodegeneration of the nigral dopaminergic system by inducing lesions and these studies have demonstrated that exposure to enriched environments beneficially affected the dopaminergic system including dopamine metabolism, the enzymes implicated in both dopamine synthesis and degradation, dopamine receptors, and its storage into vesicles (Jungling et al., 2017). The beneficial effects of enriched environments were also demonstrated in other neurotransmitter systems affected by PD, namely cholinergic, glutamatergic, and GABAergic (Alarcón et al., 2023).
Taken together, the neurobiological mechanisms supporting enriched environments, indicate that interventions combining sensory, cognitive, and physical stimulation at a heightened level could be used as a strategy for preventing cognitive/motor decline, but also as an approach or supporting treatment in managing aspects of complex neurodegenerative disorders.
Conclusions and future perspectives
From a neurophysiological standpoint, observing movements promotes the development of motor skills (Ferrari, 1996). Among cutting-edge technologies, XR presents a viable way to activate the sensorimotor system and consequently boosting cognitive abilities and adaptability. XR in combination with MI can serve as a tool for enhanced sensorimotor feedback that promotes procedural learning. The use of 3D visualization systems that provide real-time 360-degree visual scanning can enhance the effectiveness of MI by allowing participants to rely on relevant stimuli and cues in a way that mimics real-world scenarios, thus overcoming the limitations of conventional 2D display methods used in AO. The enhanced proprioception, i.e., the sense of the position and movement of the body and its parts, and the vestibular system that arise from the user’s head movements while using a VR device (Michalski et al., 2019) provide a more interactive experience.
VR systems allow precise control of rehabilitation treatment, including manipulation of stimuli and distractors, so therapy sessions can be tailored to each individual’s needs. In this regard, the sensory information delivered through head-mounted displays goes beyond visual data, incorporating synchronized auditory information to further immerse the participant in the desired virtual environment. Current research focuses on incorporating haptic stimuli into VR-assisted MI to enhance the illusion of body ownership and the overall experience (Du et al., 2021). In addition, studies showed that the use of synchronized visual-haptic neurofeedback during MI can lead to improved outcomes in traditional neurofeedback training with brain-computer interfaces, particularly with respect to sensorimotor cortical activation (Wang et al., 2019).
Emerging evidence suggests that XR-based enriched environments may offer superior multisensory stimulation than traditional approaches, such as AO techniques combined with MI. However, the use of XR in bedridden patients is an area that requires further investigation, as most studies were limited to feasibility and usability assessments in symptomatic patients. In the absence of randomized controlled trials of the efficacy of XR in bedridden patients, it is difficult to draw definitive conclusions about its effectiveness. Future research is needed to fully understand the potential benefits and limitations of using XR-based enriched environments for bedridden patients and to explore how this technology can be integrated into existing treatment protocols to improve patient outcomes.
Author contributions
UM, LŠ, and RP contributed to the initial idea and structure of the review. LŠ, UM, and MP contributed to the writing of the first draft of the manuscript. All authors contributed to the subsequent revisions and approved the final manuscript.
Funding
This study was supported by the European Union’s Horizon 2020 Research and Innovation Program under grant agreement no. 952401 (TwinBrain – TWINning the BRAIN with machine learning for neuro-muscular efficiency). We also acknowledge financial support from the Slovenian Research Agency (research core funding no. P5-0381).
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.
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References
Alarcón, T., Presti-Silva, S., Simões, A. T., Ribeiro, F., and Pires, R. W. (2023). Molecular mechanisms underlying the neuroprotection of environmental enrichment in Parkinson’s disease. Neural. Regen. Res. 18:1450. doi: 10.4103/1673-5374.360264
Bassolino, M., Bove, M., Jacono, M., Fadiga, L., and Pozzo, T. (2012). Functional effect of short-term immobilization: Kinematic changes and recovery on reaching-to-grasp. Neuroscience 215, 127–134. doi: 10.1016/j.neuroscience.2012.04.019
Bedir, D., and Erhan, S. E. (2021). The effect of virtual reality technology on the imagery skills and performance of target-based sports athletes. Front. Psychol. 11:2073. doi: 10.3389/fpsyg.2020.02073
Belavy, D. L., Seibel, M. J., Roth, H. J., Armbrecht, G., Rittweger, J., and Felsenberg, D. (2012). The effects of bed-rest and countermeasure exercise on the endocrine system in male adults: Evidence for immobilization-induced reduction in sex hormone-binding globulin levels. J. Endocrinol. Invest. 35, 54–62. doi: 10.3275/7606
Boiko, A., Asadov, A., Gaiduk, M., Seepold, R., and Madrid, N. M. (2022). “Gamification system to improve the personal health of bedridden patients in long-term care,” in Social innovation in long-term care through digitalization lecture notes in bioengineering, eds M. Conti and S. Orcioni (Cham: Springer International Publishing), 127–139. doi: 10.1007/978-3-031-16855-0_13
Brauns, K., Friedl-Werner, A., Gunga, H.-C., and Stahn, A. C. (2021a). Effects of two months of bed rest and antioxidant supplementation on attentional processing. Cortex 141, 81–93. doi: 10.1016/j.cortex.2021.03.026
Brauns, K., Friedl-Werner, A., Maggioni, M. A., Gunga, H.-C., and Stahn, A. C. (2021b). Head-down tilt position, but not the duration of bed rest affects resting state electrocortical activity. Front. Physiol. 12:638669. doi: 10.3389/fphys.2021.638669
Brauns, K., Werner, A., Gunga, H.-C., Maggioni, M. A., Dinges, D. F., and Stahn, A. (2019). Electrocortical evidence for impaired affective picture processing after long-term immobilization. Sci. Rep. 9:16610. doi: 10.1038/s41598-019-52555-1
Brugada-Ramentol, V., Bozorgzadeh, A., and Jalali, H. (2022). Enhance VR: A multisensory approach to cognitive training and monitoring. Front. Digit. Health 4:916052. doi: 10.3389/fdgth.2022.916052
Campbell, M., Varley-Campbell, J., Fulford, J., Taylor, B., Mileva, K. N., and Bowtell, J. L. (2019). Effect of immobilisation on neuromuscular function in vivo in humans: A systematic review. Sports Med. 49, 931–950. doi: 10.1007/s40279-019-01088-8
Choi, J. W., Kim, B. H., Huh, S., and Jo, S. (2020). Observing actions through immersive virtual reality enhances motor imagery training. IEEE Trans. Neural Syst. Rehabil. Eng. 28, 1614–1622. doi: 10.1109/TNSRE.2020.2998123
Clark, B. C., Fernhall, B., and Ploutz-Snyder, L. L. (2006). Adaptations in human neuromuscular function following prolonged unweighting: I. Skeletal muscle contractile properties and applied ischemia efficacy. J. Appl. Physiol. 101, 256–263. doi: 10.1152/japplphysiol.01402.2005
Cummings, J. J., and Bailenson, J. N. (2016). How immersive is enough? A meta-analysis of the effect of immersive technology on user presence. Media Psychol. 19, 272–309. doi: 10.1080/15213269.2015.1015740
Dandi, E, Kalamari, A., Touloumi, O., Lagoudaki, R., Nousiopoulou, E., Simeonidou, C., et al. (2018). Beneficial effects of environmental enrichment on behavior, stress reactivity and synaptophysin/BDNF expression in hippocampus following early life stress. Intl. J. Dev. Neurosci. 67, 19–32. doi: 10.1016/j.ijdevneu.2018.03.003
Decety, J. (1996). The neurophysiological basis of motor imagery. Behav. Brain Res. 77, 45–52. doi: 10.1016/0166-4328(95)00225-1
Di Girolamo, F. G., Fiotti, N., Milanoviæ, Z., Situlin, R., Mearelli, F., Vinci, P., et al. (2021). The aging muscle in experimental bed rest: A systematic review and meta-analysis. Front. Nutr. 8:633987. doi: 10.3389/fnut.2021.633987
Dimec Èasar, T. (2015). Changes in mental health and satisfaction with life during physical inactivity induced by bed rest experiment. Ann. Kinesiol. Koper 6, 27–38.
Du, B., Yue, K., Hu, H., and Liu, Y. (2021). “A paradigm to enhance motor imagery through immersive virtual reality with visuo-tactile stimulus,” in Proceedings of the 2021 IEEE international conference on systems, man, and cybernetics (SMC) (Melbourne: IEEE), 703–708. doi: 10.1109/SMC52423.2021.9658878
Dyckman, D. J., Sauder, C. L., and Ray, C. A. (2012). Effects of short-term and prolonged bed rest on the vestibulosympathetic reflex. Am. J. Physiol. Heart Circ. Physiol. 302, H368–H374. doi: 10.1152/ajpheart.00193.2011
Eaves, D. L., Riach, M., Holmes, P. S., and Wright, D. J. (2016). Motor imagery during action observation: A Brief review of evidence, theory and future research opportunities. Front. Neurosci. 10:514. doi: 10.3389/fnins.2016.00514
Feitosa, J. A., Fernandes, C. A., Casseb, R. F., and Castellano, G. (2022). Effects of virtual reality-based motor rehabilitation: A systematic review of fMRI studies. J. Neural Eng. 19:011002. doi: 10.1088/1741-2552/ac456e
Ferrari, M. (1996). Observing the observer: Self-regulation in the observational learning of motor skills. Dev. Rev. 16, 203–240. doi: 10.1006/drev.1996.0008
Fontani, G., Migliorini, S., Lodi, L., De Martino, E., Solidakis, N., and Corradeschi, F. (2014). Internal–external motor imagery and skilled motor actions. J. Imag. Res. Sport Phys. Act. 9, 1–11. doi: 10.1515/jirspa-2012-0001
Fox, N. A., Bakermans-Kranenburg, M. J., Yoo, K. H., Bowman, L. C., Cannon, E. N., Vanderwert, R. E., et al. (2016). Assessing human mirror activity with EEG mu rhythm: A meta-analysis. Psychol. Bull. 142, 291–313. doi: 10.1037/bul0000031
Friedl-Werner, A., Brauns, K., Gunga, H.-C., Kühn, S., and Stahn, A. C. (2020). Exercise-induced changes in brain activity during memory encoding and retrieval after long-term bed rest. Neuroimage 223, 117359. doi: 10.1016/j.neuroimage.2020.117359
Gao, R., and Chilibeck, P. D. (2020). Nutritional interventions during bed rest and spaceflight: Prevention of muscle mass and strength loss, bone resorption, glucose intolerance, and cardiovascular problems. Nutr. Res. 82, 11–24. doi: 10.1016/j.nutres.2020.07.001
Garthe, A., Roeder, I., and Kempermann, G. (2016). Mice in an enriched environment learn more flexibly because of adult hippocampal neurogenesis. Hippocampus 26, 261–271. doi: 10.1002/hipo.22520
Gelfo, F., Cutuli, D., Foti, F., Laricchiuta, D., De Bartolo, P., Caltagirone, C., et al. (2011). Enriched environment improves motor function and increases neurotrophins in hemicerebellar lesioned rats. Neurorehabil. Neural Repair 25, 243–252. doi: 10.1177/1545968310380926
Glenthøj, B., and Fibiger, H. C. (2019). In memoriam: Arvid carlsson—pioneering researcher and nobel laureate. Neuropsychopharmacol 44, 457–458. doi: 10.1038/s41386-018-0244-0
Grońska-Pęski, M., Gonçalves, J. T., and Hébert, J. M. (2021). Enriched Environment Promotes Adult Hippocampal Neurogenesis through FGFRs. J. Neurosci. 41, 2899–2910. doi: 10.1523/JNEUROSCI.2286-20.2021
Grosprêtre, S., Ruffino, C., and Lebon, F. (2016). Motor imagery and cortico-spinal excitability: A review. Eur. J. Sport Sci. 16, 317–324. doi: 10.1080/17461391.2015.1024756
Hoff, P., Belavý, D. L., Huscher, D., Lang, A., Hahne, M., Kuhlmey, A.-K., et al. (2015). Effects of 60-day bed rest with and without exercise on cellular and humoral immunological parameters. Cell. Mol. Immunol. 12, 483–492. doi: 10.1038/cmi.2014.106
Hoffmann, B., Dehkordi, P., Khosrow-Khavar, F., Goswami, N., Blaber, A. P., and Tavakolian, K. (2022). Mechanical deconditioning of the heart due to long-term bed rest as observed on seismocardiogram morphology. Npj Microgravity 8:25. doi: 10.1038/s41526-022-00206-7
Holt, J. A., Macias, B. R., Schneider, S. M., Watenpaugh, D. E., Lee, S. M. C., Chang, D. G., et al. (2016). WISE 2005: Aerobic and resistive countermeasures prevent paraspinal muscle deconditioning during 60-day bed rest in women. J. Appl. Physiol. 120, 1215–1222. doi: 10.1152/japplphysiol.00532.2015
Howard, M. C. (2017). A meta-analysis and systematic literature review of virtual reality rehabilitation programs. Comput. Hum. Behav. 70, 317–327. doi: 10.1016/j.chb.2017.01.013
Hüttenrauch, M., Salinas, G., and Wirths, O. (2016). Effects of long-term environmental enrichment on anxiety, memory, hippocampal plasticity and overall brain gene expression in C57BL6 Mice. Front. Mol. Neurosci. 9:62. doi: 10.3389/fnmol.2016.00062
Im, H., Ku, J., Kim, H. J., and Kang, Y. J. (2016). Virtual reality-guided motor imagery increases corticomotor excitability in healthy volunteers and stroke patients. Ann. Rehabil. Med. 40:420. doi: 10.5535/arm.2016.40.3.420
Iovino, P., Chiarioni, G., Bilancio, G., Cirillo, M., Mekjavic, I. B., Pisot, R., et al. (2013). New onset of constipation during long-term physical inactivity: A proof-of-concept study on the immobility-induced bowel changes. PLoS One 8:e72608. doi: 10.1371/journal.pone.0072608
Ishizaki, Y., Fukuoka, H., Katsura, T., Nishimura, Y., Kiriyama, M., Higurashi, M., et al. (1994). Psychological effects of bed rest in young healthy subjects. Acta Physiol. Scand. Suppl. 616, 83–87.
Jasper, U., Yadav, L., Dollard, J., Jadczak, A. D., Yu, S., and Visvanathan, R. (2020). Sedentary behaviour in hospitalised older people: A scoping review. IJERPH 17:9359. doi: 10.3390/ijerph17249359
Jastorff, J., Abdollahi, R. O., Fasano, F., and Orban, G. A. (2016). Seeing biological actions in 3 D: An f MRI study. Hum. Brain Mapp. 37, 203–219. doi: 10.1002/hbm.23020
Jungling, A., Reglodi, D., Karadi, Z., Horvath, G., Farkas, J., Gaszner, B., et al. (2017). Effects of postnatal enriched environment in a model of Parkinson’s disease in adult rats. IJMS 18:406. doi: 10.3390/ijms18020406
Kashif, M., Ahmad, A., Bandpei, M. A. M., Farooq, M., Iram, H., and Fatima, R. (2022). Systematic review of the application of virtual reality to improve balance, gait and motor function in patients with Parkinson’s disease. Medicine 101:e29212. doi: 10.1097/MD.0000000000029212
Kazlauckas, V., Pagnussat, N., Mioranzza, S., Kalinine, E., Nunes, F., Pettenuzzo, L., et al. (2011). Enriched environment effects on behavior, memory and BDNF in low and high exploratory mice. Physiol. Behav. 102, 475–480. doi: 10.1016/j.physbeh.2010.12.025
Knols, R. H., Swanenburg, J., De Bon, D., Gennaro, F., Wolf, M., Krüger, B., et al. (2017). Investigating the usability and acute effects of a bedside video console to prefrontal cortical activity alterations: A preclinical study in healthy elderly. Front. Syst. Neurosci. 11:85. doi: 10.3389/fnsys.2017.00085
Kondo, M., Takei, Y., and Hirokawa, N. (2012). Motor protein KIF1A is essential for hippocampal synaptogenesis and learning enhancement in an enriched environment. Neuron 73, 743–757. doi: 10.1016/j.neuron.2011.12.020
Kong, G., He, K., and Wei, K. (2017). Sensorimotor experience in virtual reality enhances sense of agency associated with an avatar. Conscious. Cogn. 52, 115–124.
Koppelmans, V., Bloomberg, J. J., De Dios, Y. E., Wood, S. J., Reuter-Lorenz, P. A., Kofman, I. S., et al. (2017). Brain plasticity and sensorimotor deterioration as a function of 70 days head down tilt bed rest. PLoS One 12:e0182236. doi: 10.1371/journal.pone.0182236
Köyağasıoğlu, O., Özgürbüz, C., Bediz, C. Ş, Güdücü, Ç, Aydınoğlu, R., and Akşit, T. (2022). The effects of virtual reality nonphysical mental training on balance skills and functional near-infrared spectroscopy activity in healthy adults. J. Sport Rehabil. 31, 428–441. doi: 10.1123/jsr.2021-0197
Kramer, A., Venegas-Carro, M., Mulder, E., Lee, J. K., Moreno-Villanueva, M., Bürkle, A., et al. (2020). Cardiorespiratory and neuromuscular demand of daily centrifugation: Results from the 60-day AGBRESA bed rest study. Front. Physiol. 11:562377. doi: 10.3389/fphys.2020.562377
Langer, N., Hanggi, J., Muller, N. A., Simmen, H. P., and Jancke, L. (2012). Effects of limb immobilization on brain plasticity. Neurology 78, 182–188. doi: 10.1212/WNL.0b013e31823fcd9c
Leong, S. C., Tang, Y. M., Toh, F. M., and Fong, K. N. K. (2022). Examining the effectiveness of virtual, augmented, and mixed reality (VAMR) therapy for upper limb recovery and activities of daily living in stroke patients: A systematic review and meta-analysis. J. Neuro Eng. Rehabil. 19:93. doi: 10.1186/s12984-022-01071-x
Liew, A. K. Y., Teo, C. H., and Soga, T. (2022). The molecular effects of environmental enrichment on Alzheimer’s disease. Mol. Neurobiol. 59, 7095–7118. doi: 10.1007/s12035-022-03016-w
Lipnicki, D. M., and Gunga, H.-C. (2009). Physical inactivity and cognitive functioning: Results from bed rest studies. Eur. J. Appl. Physiol. 105, 27–35.
Lipnicki, D. M., Gunga, H.-C., Belavý, D. L., and Felsenberg, D. (2009). Bed rest and cognition: Effects on executive functioning and reaction time. Aviat. Space Environ. Med. 80, 1018–1024. doi: 10.3357/ASEM.2581.2009
Lissek, S., Wilimzig, C., Stude, P., Pleger, B., Kalisch, T., Maier, C., et al. (2009). Immobilization impairs tactile perception and shrinks somatosensory cortical maps. Curr. Biol. 19, 837–842. doi: 10.1016/j.cub.2009.03.065
Llorens-Martín, M., Fuster-Matanzo, A., Teixeira, C. M., Jurado-Arjona, J., Ulloa, F., deFelipe, J., et al. (2013). GSK-3β overexpression causes reversible alterations on postsynaptic densities and dendritic morphology of hippocampal granule neurons in vivo. Mol. Psychiatry 18, 451–460. doi: 10.1038/mp.2013.4
Loyd, C., Markland, A. D., Zhang, Y., Fowler, M., Harper, S., Wright, N. C., et al. (2020). Prevalence of hospital-associated disability in older adults: A meta-analysis. J. Am. Med. Dir. Assoc 21, 455.e–461.e. doi: 10.1016/j.jamda.2019.09.015
Marusic, U., and Grosprêtre, S. (2018). Non-physical approaches to counteract age-related functional deterioration: Applications for rehabilitation and neural mechanisms. Eur. J. Sport Sci. 18, 639–649. doi: 10.1080/17461391.2018.1447018
Marusic, U., Giordani, B., Moffat, S. D., Petriè, M., Dolenc, P., Pišot, R., et al. (2018). Computerized cognitive training during physical inactivity improves executive functioning in older adults. Aging Neuropsychol. Cogn. 25, 49–69.
Marusic, U., Kavcic, V., Giordani, B., Gerževiè, M., Meeusen, R., and Pišot, R. (2015). Computerized spatial navigation training during 14 days of bed rest in healthy older adult men: Effect on gait performance. Psychol. Aging 30, 334–340. doi: 10.1037/pag0000021
Marusic, U., Kavcic, V., Pisot, R., and Goswami, N. (2019). The role of enhanced cognition to counteract detrimental effects of prolonged bed rest: Current evidence and perspectives. Front. Physiol. 9:1864. doi: 10.3389/fphys.2018.01864
Marušič, U., Meeusen, R., Pišot, R., and Kavcic, V. (2014). The brain in micro-and hypergravity: The effects of changing gravity on the brain electrocortical activity. Eur. J. Sport Sci. 14, 813–822.
Marusic, U., Narici, M., Simunic, B., Pisot, R., and Ritzmann, R. (2021). Nonuniform loss of muscle strength and atrophy during bed rest: A systematic review. J. Appl. Physiol. 131, 194–206. doi: 10.1152/japplphysiol.00363.2020
Marušiè, U., Pišot, R., and Kavcic, V. (2021). Higher neural demands on stimulus processing after prolonged hospitalization can be mitigated by a cognitively stimulating environment. Psihol. Obz. 30, 55–61.
Meers, R., Nuttall, H. E., and Vogt, S. (2020). Motor imagery alone drives corticospinal excitability during concurrent action observation and motor imagery. Cortex 126, 322–333. doi: 10.1016/j.cortex.2020.01.012
Meugnot, A., Agbangla, N. F., Almecija, Y., and Toussaint, L. (2015). Motor imagery practice may compensate for the slowdown of sensorimotor processes induced by short-term upper-limb immobilization. Psychol. Res. 79, 489–499. doi: 10.1007/s00426-014-0577-1
Michalski, S. C., Szpak, A., and Loetscher, T. (2019). Using virtual environments to improve real-world motor skills in sports: A systematic review. Front. Psychol. 10:2159. doi: 10.3389/fpsyg.2019.02159
Miranda, M., Morici, J. F., Zanoni, M. B., and Bekinschtein, P. (2019). Brain-derived neurotrophic factor: A key molecule for memory in the healthy and the pathological brain. Front. Cell. Neurosci. 13:363. doi: 10.3389/fncel.2019.00363
Oldrati, V., Finisguerra, A., Avenanti, A., Aglioti, S. M., and Urgesi, C. (2021). Differential influence of the dorsal premotor and primary somatosensory cortex on corticospinal excitability during kinesthetic and visual motor imagery: A low-frequency repetitive transcranial magnetic stimulation study. Brain Sci. 11:1196. doi: 10.3390/brainsci11091196
Olson, A. K., Eadie, B. D., Ernst, C., and Christie, B. R. (2006). Environmental enrichment and voluntary exercise massively increase neurogenesis in the adult hippocampus via dissociable pathways. Hippocampus 16, 250–260. doi: 10.1002/hipo.20157
Paravlic, A. H., Slimani, M., Tod, D., Marusic, U., Milanovic, Z., and Pisot, R. (2018). Effects and dose–response relationships of motor imagery practice on strength development in healthy adult populations: A systematic review and meta-analysis. Sports Med. 48, 1165–1187. doi: 10.1007/s40279-018-0874-8
Peris, A., Bonizzoli, M., Iozzelli, D., Migliaccio, M. L., Zagli, G., Bacchereti, A., et al. (2011). Early intra-intensive care unit psychological intervention promotes recovery from post traumatic stress disorders, anxiety and depression symptoms in critically ill patients. Crit. Care 15, R41. doi: 10.1186/cc10003
Ramírez-Rodríguez, G., Ocaña-Fernández, M. A., Vega-Rivera, N. M., Torres-Pérez, O. M., Gómez-Sánchez, A., Estrada-Camarena, E., et al. (2014). Environmental enrichment induces neuroplastic changes in middle age female BalbC mice and increases the hippocampal levels of BDNF, p-Akt and p-MAPK1/2. Neuroscience 260, 158–170. doi: 10.1016/j.neuroscience.2013.12.026
Rannaud Monany, D., Papaxanthis, C., Guillot, A., and Lebon, F. (2022). Motor imagery and action observation following immobilization-induced hypoactivity: A narrative review. Ann. Phys. Rehabil. Med. 65:101541. doi: 10.1016/j.rehab.2021.101541
Rodriguez, J., Noristani, H., Olabarria, M., Fletcher, J., Somerville, D. D., Yeh, C., et al. (2011). Voluntary running and environmental enrichment restores impaired hippocampal neurogenesis in a triple transgenic mouse model of Alzheimers disease. CAR 8, 707–717. doi: 10.2174/156720511797633214
Roosink, M., Robitaille, N., Jackson, P. L., Bouyer, L. J., and Mercier, C. (2016). Interactive virtual feedback improves gait motor imagery after spinal cord injury: An exploratory study. RNN 34, 227–235. doi: 10.3233/RNN-150563
Scotto, C. R., Meugnot, A., Casiez, G., and Toussaint, L. (2020). Short-term sensorimotor deprivation impacts feedforward and feedback processes of motor control. Front. Neurosci. 14:696. doi: 10.3389/fnins.2020.00696
Slater, M. (2017). “Implicit learning through embodiment in immersive virtual reality,” in Virtual, augmented, and mixed realities in education smart computing and intelligence, eds D. Liu, C. Dede, R. Huang, and J. Richards (Singapore: Springer Singapore), 19–33. doi: 10.1007/978-981-10-5490-7_2
Šlosar, L., Voelcker-Rehage, C., Paravlić, A. H., Abazovic, E., de Bruin, E. D., and Marusic, U. (2022). Combining physical and virtual worlds for motor-cognitive training interventions: Position paper with guidelines on technology classification in movement-related research. Front. Psychol. 13:1009052. doi: 10.3389/fpsyg.2022.1009052
Stuchlik, A. (2014). Dynamic learning and memory, synaptic plasticity and neurogenesis: An update. Front. Behav. Neurosci. 8:106. doi: 10.3389/fnbeh.2014.00106
Torasdotter, M., Metsis, M., Henriksson, B. G., Winblad, B., and Mohammed, A. H. (1998). Environmental enrichment results in higher levels of nerve growth factor mRNA in the rat visual cortex and hippocampus. Behav. Brain Res. 93, 83–90. doi: 10.1016/S0166-4328(97)00142-3
Valero, J., Espańa, J., Parra-Damas, A., Martín, E., Rodríguez-Álvarez, J., and Saura, C. A. (2011). Short-term environmental enrichment rescues adult neurogenesis and memory deficits in APPSw,Ind transgenic mice. PLoS One 6:e16832. doi: 10.1371/journal.pone.0016832
Villiger, M., Bohli, D., Kiper, D., Pyk, P., Spillmann, J., Meilick, B., et al. (2013). Virtual reality–augmented neurorehabilitation improves motor function and reduces neuropathic pain in patients with incomplete spinal cord injury. Neurorehabil. Neural Repair 27, 675–683. doi: 10.1177/1545968313490999
Wang, Z., Zhou, Y., Chen, L., Gu, B., Liu, S., Xu, M., et al. (2019). A BCI based visual-haptic neurofeedback training improves cortical activations and classification performance during motor imagery. J. Neural Eng. 16:066012. doi: 10.1088/1741-2552/ab377d
Xie, P., Wang, Z., Li, Z., Wang, Y., Wang, N., Liang, Z., et al. (2022). Research on rehabilitation training strategies using multimodal virtual scene stimulation. Front. Aging Neurosci. 14:892178. doi: 10.3389/fnagi.2022.892178
Xu, X.-F., Li, T., Wang, D.-D., Chen, B., Wang, Y., and Chen, Z.-Y. (2015). Integrin-linked kinase is essential for environmental enrichment enhanced hippocampal neurogenesis and memory. Sci. Rep. 5:11456. doi: 10.1038/srep11456
Yang, Y. J., Jeon, E. J., Kim, J. S., and Chung, C. K. (2021). Characterization of kinesthetic motor imagery compared with visual motor imageries. Sci. Rep. 11:3751. doi: 10.1038/s41598-021-82241-0
Yao, W. X., Ranganathan, V. K., Allexandre, D., Siemionow, V., and Yue, G. H. (2013). Kinesthetic imagery training of forceful muscle contractions increases brain signal and muscle strength. Front. Hum. Neurosci. 7:561. doi: 10.3389/fnhum.2013.00561
Yoshimura, M., Kurumadani, H., Hirata, J., Osaka, H., Senoo, K., Date, S., et al. (2020). Virtual reality-based action observation facilitates the acquisition of body-powered prosthetic control skills. J. NeuroEngineering Rehabil. 17:113. doi: 10.1186/s12984-020-00743-w
Ziab, H., Mazbouh, R., Saleh, S., Talebian, S., Rifai Sarraj, A., and Hadian, M. R. (2022). Efficacy of virtual reality-based rehabilitation interventions to improve balance function in patients with cerebral palsy: A systematic review and meta-analysis of RCTs. Arch. Neurosci. 9:e122865. doi: 10.5812/ans-122865
Keywords: physical inactivity, bed rest, disuse, mechanical unloading, non-physical interventions, virtual reality
Citation: Šlosar L, Peskar M, Pišot R and Marusic U (2023) Environmental enrichment through virtual reality as multisensory stimulation to mitigate the negative effects of prolonged bed rest. Front. Aging Neurosci. 15:1169683. doi: 10.3389/fnagi.2023.1169683
Received: 19 February 2023; Accepted: 07 August 2023;
Published: 22 August 2023.
Edited by:
Eryk Przysucha, Lakehead University, CanadaReviewed by:
Alla B. Salmina, Research Center of Neurology, RussiaCopyright © 2023 Šlosar, Peskar, Pišot and Marusic. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Uros Marusic, dXJvcy5tYXJ1c2ljQHpycy1rcC5zaQ==