Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.

BACKGROUND: Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral eviden...

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Main Authors: Hang Zhang, Zhiying Long, Ruiyang Ge, Lele Xu, Zhen Jin, Li Yao, Yijun Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3894973?pdf=render
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author Hang Zhang
Zhiying Long
Ruiyang Ge
Lele Xu
Zhen Jin
Li Yao
Yijun Liu
author_facet Hang Zhang
Zhiying Long
Ruiyang Ge
Lele Xu
Zhen Jin
Li Yao
Yijun Liu
author_sort Hang Zhang
collection DOAJ
description BACKGROUND: Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. METHODOLOGY/PRINCIPAL FINDINGS: We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. CONCLUSIONS/SIGNIFICANCE: These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning.
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spelling doaj.art-91667d9961604f91b21d57d7dc04d4402022-12-21T18:53:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8548910.1371/journal.pone.0085489Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.Hang ZhangZhiying LongRuiyang GeLele XuZhen JinLi YaoYijun LiuBACKGROUND: Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. METHODOLOGY/PRINCIPAL FINDINGS: We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. CONCLUSIONS/SIGNIFICANCE: These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning.http://europepmc.org/articles/PMC3894973?pdf=render
spellingShingle Hang Zhang
Zhiying Long
Ruiyang Ge
Lele Xu
Zhen Jin
Li Yao
Yijun Liu
Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.
PLoS ONE
title Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.
title_full Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.
title_fullStr Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.
title_full_unstemmed Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.
title_short Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.
title_sort motor imagery learning modulates functional connectivity of multiple brain systems in resting state
url http://europepmc.org/articles/PMC3894973?pdf=render
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AT lelexu motorimagerylearningmodulatesfunctionalconnectivityofmultiplebrainsystemsinrestingstate
AT zhenjin motorimagerylearningmodulatesfunctionalconnectivityofmultiplebrainsystemsinrestingstate
AT liyao motorimagerylearningmodulatesfunctionalconnectivityofmultiplebrainsystemsinrestingstate
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