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Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks

Dheeraj Rathee, Anirban Chowdhury, Yogesh Kumar Meena, Ashish Dutta, Suzanne McDonough, Girijesh Prasad

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume: 27, Issue: 5, Pages: 1020 - 1031

Swansea University Author: Yogesh Kumar Meena

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DOI (Published version): 10.1109/TNSRE.2019.2908125

Abstract

Brain-machine interface (BMI) driven robot-assisted neurorehabilitation intervention has demonstrated improvement in upper-limb (UL) motor function, specifically, with post-stroke hemiparetic patients. However, neurophysiological patterns related to such interventions are not well understood. This s...

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Published in: IEEE Transactions on Neural Systems and Rehabilitation Engineering
ISSN: 1534-4320 1558-0210
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa50561
first_indexed 2019-06-05T11:07:49Z
last_indexed 2019-07-15T15:33:19Z
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spelling 2019-07-15T12:37:05.0421778 v2 50561 2019-05-29 Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks 99fa72c8a55321a225c0a5abf0955585 Yogesh Kumar Meena Yogesh Kumar Meena true false 2019-05-29 MACS Brain-machine interface (BMI) driven robot-assisted neurorehabilitation intervention has demonstrated improvement in upper-limb (UL) motor function, specifically, with post-stroke hemiparetic patients. However, neurophysiological patterns related to such interventions are not well understood. This study examined the longitudinal changes in band-limited resting-state (RS) functional connectivity (FC) networks in association with post-stroke UL functional recovery achieved by a multimodal intervention involving motor attempt (MA) based BMI and robotic hand-exoskeleton. Four adults were rehabilitated with the intervention for a period lasting upto 6 weeks. RS magnetoencephalography (MEG) signals, Action Research Arm Test (ARAT), and grip strength (GS) measures were recorded at five equispaced sessions over the intervention period. An average post-interventional increase of 100.0% (p = 0:00028) and 88.0% were attained for ARAT and GS, respectively. A cluster-based statistical test involving correlation estimates between beta-band (15-26 Hz) RS-MEG FCs and UL functional recovery provided positively correlated sub-networks in both contralesional and ipsilesional motor cortices. The fronto-parietal FC exhibited hemispheric lateralisation wherein majority of the positively and negatively correlated connections were found in contralesional and ipsilesional hemispheres, respectively. Our findings are consistent with the theory of bilateral motor cortical association with UL recovery and predict novel FC patterns that can be important for higher level cognitive functions. Journal Article IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 5 1020 1031 1534-4320 1558-0210 Hand neurorehabilitation, Functional brain networks, Magnetoencephalography, Motor attempt, Braincomputer interface, Hand-exoskeleton 1 4 2019 2019-04-01 10.1109/TNSRE.2019.2908125 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2019-07-15T12:37:05.0421778 2019-05-29T14:41:14.9817483 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Dheeraj Rathee 1 Anirban Chowdhury 2 Yogesh Kumar Meena 3 Ashish Dutta 4 Suzanne McDonough 5 Girijesh Prasad 6 0050561-21062019150542.pdf 50561.pdf 2019-06-21T15:05:42.1200000 Output 2347375 application/pdf Accepted Manuscript true 2019-06-20T00:00:00.0000000 true eng
title Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks
spellingShingle Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks
Yogesh Kumar Meena
title_short Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks
title_full Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks
title_fullStr Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks
title_full_unstemmed Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks
title_sort Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks
author_id_str_mv 99fa72c8a55321a225c0a5abf0955585
author_id_fullname_str_mv 99fa72c8a55321a225c0a5abf0955585_***_Yogesh Kumar Meena
author Yogesh Kumar Meena
author2 Dheeraj Rathee
Anirban Chowdhury
Yogesh Kumar Meena
Ashish Dutta
Suzanne McDonough
Girijesh Prasad
format Journal article
container_title IEEE Transactions on Neural Systems and Rehabilitation Engineering
container_volume 27
container_issue 5
container_start_page 1020
publishDate 2019
institution Swansea University
issn 1534-4320
1558-0210
doi_str_mv 10.1109/TNSRE.2019.2908125
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
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description Brain-machine interface (BMI) driven robot-assisted neurorehabilitation intervention has demonstrated improvement in upper-limb (UL) motor function, specifically, with post-stroke hemiparetic patients. However, neurophysiological patterns related to such interventions are not well understood. This study examined the longitudinal changes in band-limited resting-state (RS) functional connectivity (FC) networks in association with post-stroke UL functional recovery achieved by a multimodal intervention involving motor attempt (MA) based BMI and robotic hand-exoskeleton. Four adults were rehabilitated with the intervention for a period lasting upto 6 weeks. RS magnetoencephalography (MEG) signals, Action Research Arm Test (ARAT), and grip strength (GS) measures were recorded at five equispaced sessions over the intervention period. An average post-interventional increase of 100.0% (p = 0:00028) and 88.0% were attained for ARAT and GS, respectively. A cluster-based statistical test involving correlation estimates between beta-band (15-26 Hz) RS-MEG FCs and UL functional recovery provided positively correlated sub-networks in both contralesional and ipsilesional motor cortices. The fronto-parietal FC exhibited hemispheric lateralisation wherein majority of the positively and negatively correlated connections were found in contralesional and ipsilesional hemispheres, respectively. Our findings are consistent with the theory of bilateral motor cortical association with UL recovery and predict novel FC patterns that can be important for higher level cognitive functions.
published_date 2019-04-01T04:38:15Z
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