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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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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. |
format | Online Article Text |
id | pubmed-5938354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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