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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doaj-848c9164f3b84b83922ee111c2ec9a8c2020-11-24T22:56:17ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-05-01910.3389/fneur.2018.00287339300Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot StudyXiaoling Chen0Ping Xie1Yuanyuan Zhang2Yuling Chen3Fangmei Yang4Litai Zhang5Xiaoli Li6Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaInstitute of Education Science, Applied Psychology of Tianjin Province, Tianjin Normal University, Tianjin, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, ChinaDepartment of Rehabilitation Medicine, The NO.281 Hospital of Chinese People’s Liberation Army, Qinhuangdao, ChinaNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, ChinaRecently, 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.http://journal.frontiersin.org/article/10.3389/fneur.2018.00287/fullfunctional corticomuscular couplingmultiscaletransfer entropystrokeinformation flow |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaoling Chen Ping Xie Yuanyuan Zhang Yuling Chen Fangmei Yang Litai Zhang Xiaoli Li |
spellingShingle |
Xiaoling Chen Ping Xie Yuanyuan Zhang Yuling Chen Fangmei Yang Litai Zhang Xiaoli Li Multiscale Information Transfer in Functional Corticomuscular Coupling Estimation Following Stroke: A Pilot Study Frontiers in Neurology functional corticomuscular coupling multiscale transfer entropy stroke information flow |
author_facet |
Xiaoling Chen Ping Xie Yuanyuan Zhang Yuling Chen Fangmei Yang Litai Zhang Xiaoli Li |
author_sort |
Xiaoling Chen |
title |
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_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_sort |
multiscale information transfer in functional corticomuscular coupling estimation following stroke: a pilot study |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2018-05-01 |
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. |
topic |
functional corticomuscular coupling multiscale transfer entropy stroke information flow |
url |
http://journal.frontiersin.org/article/10.3389/fneur.2018.00287/full |
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