Alterations in Resting-State after Motor Imagery Training: A Pilot Investigation with Eigenvector Centrality Mapping

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• 作者：Rushao Zhang (17)
  Hang Zhang (18)
  Lele Xu (17)
  Mingqi Hui (19)
  Zhiying Long (19)
  Yijun Liu (18)
  Li Yao (17) (19)
  
• 关键词：Motor imagery ; functional magnetic resonance imaging (fMRI) ; ECM ; precuneus ; medial frontal gyrus (MFG)
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：8008
• 期：1
• 页码：-
• 全文大小：404KB
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• 作者单位：Rushao Zhang (17)
  Hang Zhang (18)
  Lele Xu (17)
  Mingqi Hui (19)
  Zhiying Long (19)
  Yijun Liu (18)
  Li Yao (17) (19)
  
  17. School of Information Science and Technology, Beijing Normal University, Xin Jie Kou Wai Da Jie 19#, Beijing, China, 100875
  18. Department of Biomedical Engineering, Peking University, No.5 Yiheyuan Road Haidian Dis-trict, Beijing, China, 100871
  19. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Xin Jie Kou Wai Da Jie 19#, Beijing, China, 100875
  

文摘

Motor training, including motor execution and motor imagery training, has been indicated to be effective in mental disorders rehabilitation and motor skill learning. In related neuroimaging studies, resting-state has been employed as a new perspective besides task-state to examine the neural mechanism of motor execution training. However, motor imagery training, as another part of motor training, has been few investigated. To address this issue, eigenvector centrality mapping (ECM) was applied to explore resting-state before and after motor imagery training. ECM could assess the computational measurement of eigenvector centrality for capturing intrinsic neural architecture on a voxel-wise level without any prior assumptions. Our results revealed that the significant increases of eigenvector centrality were in the precuneus and medial frontal gyrus (MFG) for the experimental group but not for the control group. These alterations may be associated with the sensorimotor information integration and inner state modulation of motor imagery training.