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Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states

Understanding how the brain controls movements is a critical issue in neuroscience. The role of brain changes rapidly according to movement states. To elucidate the motor control mechanism of brain, it is essential to investigate the changes in brain network in motor-related regions according to mov...

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Autores principales: Yeom, Hong Gi, Kim, June Sic, Chung, Chun Kee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969071/
https://www.ncbi.nlm.nih.gov/pubmed/31953515
http://dx.doi.org/10.1038/s41598-020-57489-7
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author Yeom, Hong Gi
Kim, June Sic
Chung, Chun Kee
author_facet Yeom, Hong Gi
Kim, June Sic
Chung, Chun Kee
author_sort Yeom, Hong Gi
collection PubMed
description Understanding how the brain controls movements is a critical issue in neuroscience. The role of brain changes rapidly according to movement states. To elucidate the motor control mechanism of brain, it is essential to investigate the changes in brain network in motor-related regions according to movement states. Therefore, the objective of this study was to investigate the brain network transitions according to movement states. We measured whole brain magnetoencephalography (MEG) signals and extracted source signals in 24 motor-related areas. Functional connectivity and centralities were calculated according to time flow. Our results showed that brain networks differed between states of motor planning and movement. Connectivities between most motor-related areas were increased in the motor-planning state. In contrast, only connectivities with cerebellum and basal ganglia were increased while those of other motor-related areas were decreased during movement. Our results indicate that most processes involved in motor control are completed before movement. Further, brain developed network related to feedback rather than motor decision during movements. Our findings also suggest that neural signals during motor planning might be more predictive than neural signals during movement. They facilitate accurate prediction of movement for brain-machine interfaces and provide insight into brain mechanisms in motor control.
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spelling pubmed-69690712020-01-22 Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states Yeom, Hong Gi Kim, June Sic Chung, Chun Kee Sci Rep Article Understanding how the brain controls movements is a critical issue in neuroscience. The role of brain changes rapidly according to movement states. To elucidate the motor control mechanism of brain, it is essential to investigate the changes in brain network in motor-related regions according to movement states. Therefore, the objective of this study was to investigate the brain network transitions according to movement states. We measured whole brain magnetoencephalography (MEG) signals and extracted source signals in 24 motor-related areas. Functional connectivity and centralities were calculated according to time flow. Our results showed that brain networks differed between states of motor planning and movement. Connectivities between most motor-related areas were increased in the motor-planning state. In contrast, only connectivities with cerebellum and basal ganglia were increased while those of other motor-related areas were decreased during movement. Our results indicate that most processes involved in motor control are completed before movement. Further, brain developed network related to feedback rather than motor decision during movements. Our findings also suggest that neural signals during motor planning might be more predictive than neural signals during movement. They facilitate accurate prediction of movement for brain-machine interfaces and provide insight into brain mechanisms in motor control. Nature Publishing Group UK 2020-01-17 /pmc/articles/PMC6969071/ /pubmed/31953515 http://dx.doi.org/10.1038/s41598-020-57489-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yeom, Hong Gi
Kim, June Sic
Chung, Chun Kee
Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states
title Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states
title_full Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states
title_fullStr Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states
title_full_unstemmed Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states
title_short Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states
title_sort brain mechanisms in motor control during reaching movements: transition of functional connectivity according to movement states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969071/
https://www.ncbi.nlm.nih.gov/pubmed/31953515
http://dx.doi.org/10.1038/s41598-020-57489-7
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