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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Engineering::Computer science and engineering Engineering::Electrical and electronic engineering Functional Magnetic Resonance Imaging Stroke |
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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 |
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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. |
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School of Computer Science and Engineering |
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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 |
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Article |
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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 |
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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 |
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brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tdcs: a pilot study |
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2022 |
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https://hdl.handle.net/10356/154063 |
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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 |