A comparison of directed functional connectivity among fist-related brain activities during movement imagery, movement execution, and movement observation

[Display omitted] •In three different motor conditions (movement observation, movement imagery, movement execution), the participation degree of task-related brain regions is different.•Movement observation, movement imagery, and movement execution did not recruit shared brain connectivity networks....

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Published inBrain research Vol. 1777; p. 147769
Main Authors Zhou, Lu, Zhu, Qiaoqiao, Wu, Biao, Qin, Bing, Hu, Haixu, Qian, Zhiyu
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 15.02.2022
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Abstract [Display omitted] •In three different motor conditions (movement observation, movement imagery, movement execution), the participation degree of task-related brain regions is different.•Movement observation, movement imagery, and movement execution did not recruit shared brain connectivity networks.•Handedness may have an impact on brain activities. Brain-computer interface (BCI) has been widely used in sports training and rehabilitation training. It is primarily based on action simulation, including movement imagery (MI) and movement observation (MO). However, the development of BCI technology is limited due to the challenge of getting an in-depth understanding of brain networks involved in MI, MO, and movement execution (ME). To better understand the brain activity changes and the communications across various brain regions under MO, ME, and MI, this study conducted the fist experiment under MO, ME, and MI. We recorded 64-channel electroencephalography (EEG) from 39 healthy subjects (25 males, 14 females, all right-handed) during fist tasks, obtained intensities and locations of sources using EEG source imaging (ESI), computed source activation modes, and finally investigated the brain networks using spectral Granger causality (GC). The brain regions involved in the three motor conditions are similar, but the degree of participation of each brain region and the network connections among the brain regions are different. MO, ME, and MI did not recruit shared brain connectivity networks. In addition, both source activation modes and brain network connectivity had lateralization advantages.
AbstractList [Display omitted] •In three different motor conditions (movement observation, movement imagery, movement execution), the participation degree of task-related brain regions is different.•Movement observation, movement imagery, and movement execution did not recruit shared brain connectivity networks.•Handedness may have an impact on brain activities. Brain-computer interface (BCI) has been widely used in sports training and rehabilitation training. It is primarily based on action simulation, including movement imagery (MI) and movement observation (MO). However, the development of BCI technology is limited due to the challenge of getting an in-depth understanding of brain networks involved in MI, MO, and movement execution (ME). To better understand the brain activity changes and the communications across various brain regions under MO, ME, and MI, this study conducted the fist experiment under MO, ME, and MI. We recorded 64-channel electroencephalography (EEG) from 39 healthy subjects (25 males, 14 females, all right-handed) during fist tasks, obtained intensities and locations of sources using EEG source imaging (ESI), computed source activation modes, and finally investigated the brain networks using spectral Granger causality (GC). The brain regions involved in the three motor conditions are similar, but the degree of participation of each brain region and the network connections among the brain regions are different. MO, ME, and MI did not recruit shared brain connectivity networks. In addition, both source activation modes and brain network connectivity had lateralization advantages.
Brain-computer interface (BCI) has been widely used in sports training and rehabilitation training. It is primarily based on action simulation, including movement imagery (MI) and movement observation (MO). However, the development of BCI technology is limited due to the challenge of getting an in-depth understanding of brain networks involved in MI, MO, and movement execution (ME). To better understand the brain activity changes and the communications across various brain regions under MO, ME, and MI, this study conducted the fist experiment under MO, ME, and MI. We recorded 64-channel electroencephalography (EEG) from 39 healthy subjects (25 males, 14 females, all right-handed) during fist tasks, obtained intensities and locations of sources using EEG source imaging (ESI), computed source activation modes, and finally investigated the brain networks using spectral Granger causality (GC). The brain regions involved in the three motor conditions are similar, but the degree of participation of each brain region and the network connections among the brain regions are different. MO, ME, and MI did not recruit shared brain connectivity networks. In addition, both source activation modes and brain network connectivity had lateralization advantages.Brain-computer interface (BCI) has been widely used in sports training and rehabilitation training. It is primarily based on action simulation, including movement imagery (MI) and movement observation (MO). However, the development of BCI technology is limited due to the challenge of getting an in-depth understanding of brain networks involved in MI, MO, and movement execution (ME). To better understand the brain activity changes and the communications across various brain regions under MO, ME, and MI, this study conducted the fist experiment under MO, ME, and MI. We recorded 64-channel electroencephalography (EEG) from 39 healthy subjects (25 males, 14 females, all right-handed) during fist tasks, obtained intensities and locations of sources using EEG source imaging (ESI), computed source activation modes, and finally investigated the brain networks using spectral Granger causality (GC). The brain regions involved in the three motor conditions are similar, but the degree of participation of each brain region and the network connections among the brain regions are different. MO, ME, and MI did not recruit shared brain connectivity networks. In addition, both source activation modes and brain network connectivity had lateralization advantages.
Brain-computer interface (BCI) has been widely used in sports training and rehabilitation training. It is primarily based on action simulation, including movement imagery (MI) and movement observation (MO). However, the development of BCI technology is limited due to the challenge of getting an in-depth understanding of brain networks involved in MI, MO, and movement execution (ME). To better understand the brain activity changes and the communications across various brain regions under MO, ME, and MI, this study conducted the fist experiment under MO, ME, and MI. We recorded 64-channel electroencephalography (EEG) from 39 healthy subjects (25 males, 14 females, all right-handed) during fist tasks, obtained intensities and locations of sources using EEG source imaging (ESI), computed source activation modes, and finally investigated the brain networks using spectral Granger causality (GC). The brain regions involved in the three motor conditions are similar, but the degree of participation of each brain region and the network connections among the brain regions are different. MO, ME, and MI did not recruit shared brain connectivity networks. In addition, both source activation modes and brain network connectivity had lateralization advantages.
Graphical abstract
ArticleNumber 147769
Author Zhou, Lu
Wu, Biao
Qian, Zhiyu
Zhu, Qiaoqiao
Qin, Bing
Hu, Haixu
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Keywords Movement imagery (MI)
EEG source imaging (ESI)
Movement observation (MO)
Movement execution (ME)
Granger causality (GC)
Language English
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Snippet [Display omitted] •In three different motor conditions (movement observation, movement imagery, movement execution), the participation degree of task-related...
Graphical abstract
Brain-computer interface (BCI) has been widely used in sports training and rehabilitation training. It is primarily based on action simulation, including...
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SubjectTerms Adult
Brain - physiology
Brain-Computer Interfaces
Connectome
EEG source imaging (ESI)
Electroencephalography
Female
Functional Laterality - physiology
Granger causality (GC)
Hand - physiology
Humans
Imagery, Psychotherapy
Imagination - physiology
Male
Motor Cortex
Movement - physiology
Movement execution (ME)
Movement imagery (MI)
Movement observation (MO)
Nervous System Physiological Phenomena
Neurology
Title A comparison of directed functional connectivity among fist-related brain activities during movement imagery, movement execution, and movement observation
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https://www.clinicalkey.es/playcontent/1-s2.0-S0006899321006284
https://dx.doi.org/10.1016/j.brainres.2021.147769
https://www.ncbi.nlm.nih.gov/pubmed/34971597
https://www.proquest.com/docview/2615923002
Volume 1777
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