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Brain Network Reconfiguration During Motor Imagery Revealed by a Large-Scale Network Analysis of Scalp EEG.

Fali LiChanlin YiLimeng SongYuanling JiangWenjing PengYajing SiTao ZhangRui ZhangDezhong YaoYangsong ZhangPeng Xu
Published in: Brain topography (2018)
Mentally imagining rather physically executing the motor behaviors is defined as motor imagery (MI). During MI, the mu rhythmical oscillation of cortical neurons is the event-related desynchronization (ERD) subserving the physiological basis of MI-based brain-computer interface. In our work, we investigated the specific brain network reconfiguration from rest idle to MI task states, and also probed the underlying relationship between the brain network reconfiguration and MI related ERD. Findings revealed that comparing to rest state, the MI showed the enhanced motor area related linkages and the deactivated activity of default mode network. In addition, the reconfigured network index was closely related to the ERDs, i.e., the higher the reconfigured network index was, the more obvious the ERDs were. These findings consistently implied that the reconfiguration from rest to task states underlaid the reallocation of related brain resources, and the efficient brain reconfiguration corresponded to a better MI performance, which provided the new insights into understanding the mechanism of MI as well as the potential biomarker to evaluate the rehabilitation quality for those patients with deficits of motor function.
Keyphrases
  • resting state
  • functional connectivity
  • white matter
  • cerebral ischemia
  • machine learning
  • spinal cord
  • multiple sclerosis
  • brain injury
  • subarachnoid hemorrhage
  • deep learning