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Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study

Recently, functional corticomuscular coupling (FCMC) between the cortex and the contralateral muscle has been used to evaluate motor function after stroke. As we know, the motor-control system is a closed-loop system that is regulated by complex self-regulating and interactive mechanisms which opera...

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Autores principales: Chen, Xiaoling, Xie, Ping, Zhang, Yuanyuan, Chen, Yuling, Yang, Fangmei, Zhang, Litai, Li, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938354/
https://www.ncbi.nlm.nih.gov/pubmed/29765351
http://dx.doi.org/10.3389/fneur.2018.00287
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author Chen, Xiaoling
Xie, Ping
Zhang, Yuanyuan
Chen, Yuling
Yang, Fangmei
Zhang, Litai
Li, Xiaoli
author_facet Chen, Xiaoling
Xie, Ping
Zhang, Yuanyuan
Chen, Yuling
Yang, Fangmei
Zhang, Litai
Li, Xiaoli
author_sort Chen, Xiaoling
collection PubMed
description Recently, functional corticomuscular coupling (FCMC) between the cortex and the contralateral muscle has been used to evaluate motor function after stroke. As we know, the motor-control system is a closed-loop system that is regulated by complex self-regulating and interactive mechanisms which operate in multiple spatial and temporal scales. Multiscale analysis can represent the inherent complexity. However, previous studies in FCMC for stroke patients mainly focused on the coupling strength in single-time scale, without considering the changes of the inherently directional and multiscale properties in sensorimotor systems. In this paper, a multiscale-causal model, named multiscale transfer entropy, was used to quantify the functional connection between electroencephalogram over the scalp and electromyogram from the flexor digitorum superficialis (FDS) recorded simultaneously during steady-state grip task in eight stroke patients and eight healthy controls. Our results showed that healthy controls exhibited higher coupling when the scale reached up to about 12, and the FCMC in descending direction was stronger at certain scales (1, 7, 12, and 14) than that in ascending direction. Further analysis showed these multi-time scale characteristics mainly focused on the beta1 band at scale 11 and beta2 band at scale 9, 11, 13, and 15. Compared to controls, the multiscale properties of the FCMC for stroke were changed, the strengths in both directions were reduced, and the gaps between the descending and ascending directions were disappeared over all scales. Further analysis in specific bands showed that the reduced FCMC mainly focused on the alpha2 at higher scale, beta1 and beta2 across almost the entire scales. This study about multi-scale confirms that the FCMC between the brain and muscles is capable of complex and directional characteristics, and these characteristics in functional connection for stroke are destroyed by the structural lesion in the brain that might disrupt coordination, feedback, and information transmission in efferent control and afferent feedback. The study demonstrates for the first time the multiscale and directional characteristics of the FCMC for stroke patients, and provides a preliminary observation for application in clinical assessment following stroke.
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spelling pubmed-59383542018-05-14 Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study Chen, Xiaoling Xie, Ping Zhang, Yuanyuan Chen, Yuling Yang, Fangmei Zhang, Litai Li, Xiaoli Front Neurol Neuroscience Recently, functional corticomuscular coupling (FCMC) between the cortex and the contralateral muscle has been used to evaluate motor function after stroke. As we know, the motor-control system is a closed-loop system that is regulated by complex self-regulating and interactive mechanisms which operate in multiple spatial and temporal scales. Multiscale analysis can represent the inherent complexity. However, previous studies in FCMC for stroke patients mainly focused on the coupling strength in single-time scale, without considering the changes of the inherently directional and multiscale properties in sensorimotor systems. In this paper, a multiscale-causal model, named multiscale transfer entropy, was used to quantify the functional connection between electroencephalogram over the scalp and electromyogram from the flexor digitorum superficialis (FDS) recorded simultaneously during steady-state grip task in eight stroke patients and eight healthy controls. Our results showed that healthy controls exhibited higher coupling when the scale reached up to about 12, and the FCMC in descending direction was stronger at certain scales (1, 7, 12, and 14) than that in ascending direction. Further analysis showed these multi-time scale characteristics mainly focused on the beta1 band at scale 11 and beta2 band at scale 9, 11, 13, and 15. Compared to controls, the multiscale properties of the FCMC for stroke were changed, the strengths in both directions were reduced, and the gaps between the descending and ascending directions were disappeared over all scales. Further analysis in specific bands showed that the reduced FCMC mainly focused on the alpha2 at higher scale, beta1 and beta2 across almost the entire scales. This study about multi-scale confirms that the FCMC between the brain and muscles is capable of complex and directional characteristics, and these characteristics in functional connection for stroke are destroyed by the structural lesion in the brain that might disrupt coordination, feedback, and information transmission in efferent control and afferent feedback. The study demonstrates for the first time the multiscale and directional characteristics of the FCMC for stroke patients, and provides a preliminary observation for application in clinical assessment following stroke. Frontiers Media S.A. 2018-05-01 /pmc/articles/PMC5938354/ /pubmed/29765351 http://dx.doi.org/10.3389/fneur.2018.00287 Text en Copyright © 2018 Chen, Xie, Zhang, Chen, Yang, Zhang and Li. 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 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 Neuroscience
Chen, Xiaoling
Xie, Ping
Zhang, Yuanyuan
Chen, Yuling
Yang, Fangmei
Zhang, Litai
Li, Xiaoli
Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study
title Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study
title_full Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study
title_fullStr Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study
title_full_unstemmed Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study
title_short Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study
title_sort multiscale information transfer in functional corticomuscular coupling estimation following stroke: a pilot study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938354/
https://www.ncbi.nlm.nih.gov/pubmed/29765351
http://dx.doi.org/10.3389/fneur.2018.00287
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