Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study

Brain-computer interface-assisted motor imagery (MI-BCI) or transcranial direct current stimulation (tDCS) has been proven effective in post-stroke motor function enhancement, yet whether the combination of MI-BCI and tDCS may further benefit the rehabilitation of motor functions remains unknown. Th...

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Main Authors: Hu, Mengjiao, Cheng, Hsiao-Ju, Ji, Fang, Chong, Joanna Su Xian, Lu, Zhongkang, Huang, Weimin, Ang, Kai Keng, Phua, Kok Soon, Chuang, Kai-Hsiang, Jiang, Xudong, Chew, Effie, Guan, Cuntai, Zhou, Helen Juan
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/154063
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-154063
record_format dspace
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
Engineering::Electrical and electronic engineering
Functional Magnetic Resonance Imaging
Stroke
spellingShingle Engineering::Computer science and engineering
Engineering::Electrical and electronic engineering
Functional Magnetic Resonance Imaging
Stroke
Hu, Mengjiao
Cheng, Hsiao-Ju
Ji, Fang
Chong, Joanna Su Xian
Lu, Zhongkang
Huang, Weimin
Ang, Kai Keng
Phua, Kok Soon
Chuang, Kai-Hsiang
Jiang, Xudong
Chew, Effie
Guan, Cuntai
Zhou, Helen Juan
Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study
description Brain-computer interface-assisted motor imagery (MI-BCI) or transcranial direct current stimulation (tDCS) has been proven effective in post-stroke motor function enhancement, yet whether the combination of MI-BCI and tDCS may further benefit the rehabilitation of motor functions remains unknown. This study investigated brain functional activity and connectivity changes after a 2 week MI-BCI and tDCS combined intervention in 19 chronic subcortical stroke patients. Patients were randomized into MI-BCI with tDCS group and MI-BCI only group who underwent 10 sessions of 20 min real or sham tDCS followed by 1 h MI-BCI training with robotic feedback. We derived amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) from resting-state functional magnetic resonance imaging (fMRI) data pre- and post-intervention. At baseline, stroke patients had lower ALFF in the ipsilesional somatomotor network (SMN), lower ReHo in the contralesional insula, and higher ALFF/Reho in the bilateral posterior default mode network (DMN) compared to age-matched healthy controls. After the intervention, the MI-BCI only group showed increased ALFF in contralesional SMN and decreased ALFF/Reho in the posterior DMN. In contrast, no post-intervention changes were detected in the MI-BCI + tDCS group. Furthermore, higher increases in ALFF/ReHo/FC measures were related to better motor function recovery (measured by the Fugl-Meyer Assessment scores) in the MI-BCI group while the opposite association was detected in the MI-BCI + tDCS group. Taken together, our findings suggest that brain functional re-normalization and network-specific compensation were found in the MI-BCI only group but not in the MI-BCI + tDCS group although both groups gained significant motor function improvement post-intervention with no group difference. MI-BCI and tDCS may exert differential or even opposing impact on brain functional reorganization during post-stroke motor rehabilitation; therefore, the integration of the two strategies requires further refinement to improve efficacy and effectiveness.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Hu, Mengjiao
Cheng, Hsiao-Ju
Ji, Fang
Chong, Joanna Su Xian
Lu, Zhongkang
Huang, Weimin
Ang, Kai Keng
Phua, Kok Soon
Chuang, Kai-Hsiang
Jiang, Xudong
Chew, Effie
Guan, Cuntai
Zhou, Helen Juan
format Article
author Hu, Mengjiao
Cheng, Hsiao-Ju
Ji, Fang
Chong, Joanna Su Xian
Lu, Zhongkang
Huang, Weimin
Ang, Kai Keng
Phua, Kok Soon
Chuang, Kai-Hsiang
Jiang, Xudong
Chew, Effie
Guan, Cuntai
Zhou, Helen Juan
author_sort Hu, Mengjiao
title Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study
title_short Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study
title_full Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study
title_fullStr Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study
title_full_unstemmed Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study
title_sort brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tdcs: a pilot study
publishDate 2022
url https://hdl.handle.net/10356/154063
_version_ 1739837408650723328
spelling sg-ntu-dr.10356-1540632022-07-21T06:55:29Z Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study Hu, Mengjiao Cheng, Hsiao-Ju Ji, Fang Chong, Joanna Su Xian Lu, Zhongkang Huang, Weimin Ang, Kai Keng Phua, Kok Soon Chuang, Kai-Hsiang Jiang, Xudong Chew, Effie Guan, Cuntai Zhou, Helen Juan School of Computer Science and Engineering School of Electrical and Electronic Engineering Interdisciplinary Graduate School (IGS) National University of Singapore Institute for Infocomm Research, A*STAR NTU Institute for Health Technologies Engineering::Computer science and engineering Engineering::Electrical and electronic engineering Functional Magnetic Resonance Imaging Stroke Brain-computer interface-assisted motor imagery (MI-BCI) or transcranial direct current stimulation (tDCS) has been proven effective in post-stroke motor function enhancement, yet whether the combination of MI-BCI and tDCS may further benefit the rehabilitation of motor functions remains unknown. This study investigated brain functional activity and connectivity changes after a 2 week MI-BCI and tDCS combined intervention in 19 chronic subcortical stroke patients. Patients were randomized into MI-BCI with tDCS group and MI-BCI only group who underwent 10 sessions of 20 min real or sham tDCS followed by 1 h MI-BCI training with robotic feedback. We derived amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) from resting-state functional magnetic resonance imaging (fMRI) data pre- and post-intervention. At baseline, stroke patients had lower ALFF in the ipsilesional somatomotor network (SMN), lower ReHo in the contralesional insula, and higher ALFF/Reho in the bilateral posterior default mode network (DMN) compared to age-matched healthy controls. After the intervention, the MI-BCI only group showed increased ALFF in contralesional SMN and decreased ALFF/Reho in the posterior DMN. In contrast, no post-intervention changes were detected in the MI-BCI + tDCS group. Furthermore, higher increases in ALFF/ReHo/FC measures were related to better motor function recovery (measured by the Fugl-Meyer Assessment scores) in the MI-BCI group while the opposite association was detected in the MI-BCI + tDCS group. Taken together, our findings suggest that brain functional re-normalization and network-specific compensation were found in the MI-BCI only group but not in the MI-BCI + tDCS group although both groups gained significant motor function improvement post-intervention with no group difference. MI-BCI and tDCS may exert differential or even opposing impact on brain functional reorganization during post-stroke motor rehabilitation; therefore, the integration of the two strategies requires further refinement to improve efficacy and effectiveness. Ministry of Health (MOH) Nanyang Technological University National Medical Research Council (NMRC) Published version This research was supported by the National Medical Research Council NMRC0088/2015 and the Duke-NUS Medical School Signature Research Program funded by Ministry of Health, Singapore (JZ) and National Medical Research Council NMRC/NIG/1013/2010 (EC). The work was supported by NTU Institute for Health Technologies, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore. 2022-06-08T03:02:53Z 2022-06-08T03:02:53Z 2021 Journal Article Hu, M., Cheng, H., Ji, F., Chong, J. S. X., Lu, Z., Huang, W., Ang, K. K., Phua, K. S., Chuang, K., Jiang, X., Chew, E., Guan, C. & Zhou, H. J. (2021). Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study. Frontiers in Human Neuroscience, 15, 692304-. https://dx.doi.org/10.3389/fnhum.2021.692304 1662-5161 https://hdl.handle.net/10356/154063 10.3389/fnhum.2021.692304 34335210 2-s2.0-85111584612 15 692304 en NMRC0088/2015 NMRC/NIG/1013/2010 Frontiers in Human Neuroscience © 2021 Hu, Cheng, Ji, Chong, Lu, Huang, Ang, Phua, Chuang, Jiang,Chew, Guan and Zhou. 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. application/pdf