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Functional Brain Controllability Alterations in Stroke

Motor control deficits are very common in stroke survivors and often lead to disability. Current clinical measures for profiling motor control impairments are largely subjective and lack precise interpretation in a “control” perspective. This study aims to provide an accurate interpretation and asse...

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Autores principales: Li, Xuhong, Fang, Feng, Li, Rihui, Zhang, Yingchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271898/
https://www.ncbi.nlm.nih.gov/pubmed/35832411
http://dx.doi.org/10.3389/fbioe.2022.925970
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author Li, Xuhong
Fang, Feng
Li, Rihui
Zhang, Yingchun
author_facet Li, Xuhong
Fang, Feng
Li, Rihui
Zhang, Yingchun
author_sort Li, Xuhong
collection PubMed
description Motor control deficits are very common in stroke survivors and often lead to disability. Current clinical measures for profiling motor control impairments are largely subjective and lack precise interpretation in a “control” perspective. This study aims to provide an accurate interpretation and assessment of the underlying “motor control” deficits caused by stroke, using a recently developed novel technique, i.e., the functional brain controllability analysis. The electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were simultaneously recorded from 16 stroke patients and 11 healthy subjects during a hand-clenching task. A high spatiotemporal resolution fNIRS-informed EEG source imaging approach was then employed to estimate the cortical activity and construct the functional brain network. Subsequently, network control theory was applied to evaluate the modal controllability of some key motor regions, including primary motor cortex (M1), premotor cortex (PMC), and supplementary motor cortex (SMA), and also the executive control network (ECN). Results indicated that the modal controllability of ECN in stroke patients was significantly lower than healthy subjects (p = 0.03). Besides, the modal controllability of SMA in stroke patients was also significant smaller than healthy subjects (p = 0.02). Finally, the baseline modal controllability of M1 was found to be significantly correlated with the baseline FM-UL clinical scores (r = 0.58, p = 0.01). In conclusion, our results provide a new perspective to better understand the motor control deficits caused by stroke. We expect such an analytical methodology can be extended to investigate the other neurological or psychiatric diseases caused by cognitive control or motor control impairment.
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spelling pubmed-92718982022-07-12 Functional Brain Controllability Alterations in Stroke Li, Xuhong Fang, Feng Li, Rihui Zhang, Yingchun Front Bioeng Biotechnol Bioengineering and Biotechnology Motor control deficits are very common in stroke survivors and often lead to disability. Current clinical measures for profiling motor control impairments are largely subjective and lack precise interpretation in a “control” perspective. This study aims to provide an accurate interpretation and assessment of the underlying “motor control” deficits caused by stroke, using a recently developed novel technique, i.e., the functional brain controllability analysis. The electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were simultaneously recorded from 16 stroke patients and 11 healthy subjects during a hand-clenching task. A high spatiotemporal resolution fNIRS-informed EEG source imaging approach was then employed to estimate the cortical activity and construct the functional brain network. Subsequently, network control theory was applied to evaluate the modal controllability of some key motor regions, including primary motor cortex (M1), premotor cortex (PMC), and supplementary motor cortex (SMA), and also the executive control network (ECN). Results indicated that the modal controllability of ECN in stroke patients was significantly lower than healthy subjects (p = 0.03). Besides, the modal controllability of SMA in stroke patients was also significant smaller than healthy subjects (p = 0.02). Finally, the baseline modal controllability of M1 was found to be significantly correlated with the baseline FM-UL clinical scores (r = 0.58, p = 0.01). In conclusion, our results provide a new perspective to better understand the motor control deficits caused by stroke. We expect such an analytical methodology can be extended to investigate the other neurological or psychiatric diseases caused by cognitive control or motor control impairment. Frontiers Media S.A. 2022-06-27 /pmc/articles/PMC9271898/ /pubmed/35832411 http://dx.doi.org/10.3389/fbioe.2022.925970 Text en Copyright © 2022 Li, Fang, Li and Zhang. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Bioengineering and Biotechnology
Li, Xuhong
Fang, Feng
Li, Rihui
Zhang, Yingchun
Functional Brain Controllability Alterations in Stroke
title Functional Brain Controllability Alterations in Stroke
title_full Functional Brain Controllability Alterations in Stroke
title_fullStr Functional Brain Controllability Alterations in Stroke
title_full_unstemmed Functional Brain Controllability Alterations in Stroke
title_short Functional Brain Controllability Alterations in Stroke
title_sort functional brain controllability alterations in stroke
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271898/
https://www.ncbi.nlm.nih.gov/pubmed/35832411
http://dx.doi.org/10.3389/fbioe.2022.925970
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