BCI for stroke rehabilitation: motor and beyond

Stroke is one of the leading causes of long-term disability among adults and contributes to major socio-economic burden globally. Stroke frequently results in multifaceted impairments including motor, cognitive and emotion deficits. In recent years, brain-computer interface (BCI)-based therapy has s...

Full description

Saved in:
Bibliographic Details
Main Authors: Mane, Ravikiran, Chouhan, Tushar, Guan, Cuntai
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/155236
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-155236
record_format dspace
spelling sg-ntu-dr.10356-1552362022-03-07T06:26:48Z BCI for stroke rehabilitation: motor and beyond Mane, Ravikiran Chouhan, Tushar Guan, Cuntai School of Computer Science and Engineering Engineering::Computer science and engineering Motor Cognition Stroke is one of the leading causes of long-term disability among adults and contributes to major socio-economic burden globally. Stroke frequently results in multifaceted impairments including motor, cognitive and emotion deficits. In recent years, brain-computer interface (BCI)-based therapy has shown promising results for post-stroke motor rehabilitation. In spite of the success received by BCI-based interventions in the motor domain, non-motor impairments are yet to receive similar attention in research and clinical settings. Some preliminary encouraging results in post-stroke cognitive rehabilitation using BCI seem to suggest that it may also hold potential for treating non-motor deficits such as cognitive and emotion impairments. Moreover, past studies have shown an intricate relationship between motor, cognitive and emotion functions which might influence the overall post-stroke rehabilitation outcome. A number of studies highlight the inability of current treatment protocols to account for the implicit interplay between motor, cognitive and emotion functions. This indicates the necessity to explore an all-inclusive treatment plan targeting the synergistic influence of these standalone interventions. This approach may lead to better overall recovery than treating the individual deficits in isolation. In this paper, we review the recent advances in BCI-based post-stroke motor rehabilitation and highlight the potential for the use of BCI systems beyond the motor domain, in particular, in improving cognition and emotion of stroke patients. Building on the current results and findings of studies in individual domains, we next discuss the possibility of a holistic BCI system for motor, cognitive and affect rehabilitation which may synergistically promote restorative neuroplasticity. Such a system would provide an all-encompassing rehabilitation platform, leading to overarching clinical outcomes and transfer of these outcomes to a better quality of living. This is one of the first works to analyse the possibility of targeting cross-domain influence of post-stroke functional recovery enabled by BCI-based rehabilitation. Published version 2022-03-07T05:21:44Z 2022-03-07T05:21:44Z 2020 Journal Article Mane, R., Chouhan, T. & Guan, C. (2020). BCI for stroke rehabilitation: motor and beyond. Journal of Neural Engineering, 17(4), 041001-. https://dx.doi.org/10.1088/1741-2552/aba162 1741-2560 https://hdl.handle.net/10356/155236 10.1088/1741-2552/aba162 32613947 2-s2.0-85089710900 4 17 041001 en Journal of Neural Engineering © 2020 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Motor
Cognition
spellingShingle Engineering::Computer science and engineering
Motor
Cognition
Mane, Ravikiran
Chouhan, Tushar
Guan, Cuntai
BCI for stroke rehabilitation: motor and beyond
description Stroke is one of the leading causes of long-term disability among adults and contributes to major socio-economic burden globally. Stroke frequently results in multifaceted impairments including motor, cognitive and emotion deficits. In recent years, brain-computer interface (BCI)-based therapy has shown promising results for post-stroke motor rehabilitation. In spite of the success received by BCI-based interventions in the motor domain, non-motor impairments are yet to receive similar attention in research and clinical settings. Some preliminary encouraging results in post-stroke cognitive rehabilitation using BCI seem to suggest that it may also hold potential for treating non-motor deficits such as cognitive and emotion impairments. Moreover, past studies have shown an intricate relationship between motor, cognitive and emotion functions which might influence the overall post-stroke rehabilitation outcome. A number of studies highlight the inability of current treatment protocols to account for the implicit interplay between motor, cognitive and emotion functions. This indicates the necessity to explore an all-inclusive treatment plan targeting the synergistic influence of these standalone interventions. This approach may lead to better overall recovery than treating the individual deficits in isolation. In this paper, we review the recent advances in BCI-based post-stroke motor rehabilitation and highlight the potential for the use of BCI systems beyond the motor domain, in particular, in improving cognition and emotion of stroke patients. Building on the current results and findings of studies in individual domains, we next discuss the possibility of a holistic BCI system for motor, cognitive and affect rehabilitation which may synergistically promote restorative neuroplasticity. Such a system would provide an all-encompassing rehabilitation platform, leading to overarching clinical outcomes and transfer of these outcomes to a better quality of living. This is one of the first works to analyse the possibility of targeting cross-domain influence of post-stroke functional recovery enabled by BCI-based rehabilitation.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Mane, Ravikiran
Chouhan, Tushar
Guan, Cuntai
format Article
author Mane, Ravikiran
Chouhan, Tushar
Guan, Cuntai
author_sort Mane, Ravikiran
title BCI for stroke rehabilitation: motor and beyond
title_short BCI for stroke rehabilitation: motor and beyond
title_full BCI for stroke rehabilitation: motor and beyond
title_fullStr BCI for stroke rehabilitation: motor and beyond
title_full_unstemmed BCI for stroke rehabilitation: motor and beyond
title_sort bci for stroke rehabilitation: motor and beyond
publishDate 2022
url https://hdl.handle.net/10356/155236
_version_ 1726885497971671040