Literature DB >> 30474793

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

Fali Li1, Chanlin Yi1, Limeng Song1, Yuanling Jiang1, Wenjing Peng1, Yajing Si1, Tao Zhang1, Rui Zhang2, Dezhong Yao1,3, Yangsong Zhang1,4, Peng Xu5,6.   

Abstract

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.

Entities:  

Keywords:  Event-related desynchronization; Motor imagery; Network reconfiguration; Reconfigured network index

Mesh:

Year:  2018        PMID: 30474793     DOI: 10.1007/s10548-018-0688-x

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  5 in total

1.  A survey of brain network analysis by electroencephalographic signals.

Authors:  Cuihua Luo; Fali Li; Peiyang Li; Chanlin Yi; Chunbo Li; Qin Tao; Xiabing Zhang; Yajing Si; Dezhong Yao; Gang Yin; Pengyun Song; Huazhang Wang; Peng Xu
Journal:  Cogn Neurodyn       Date:  2021-06-14       Impact factor: 5.082

2.  Reference Electrode Standardization Interpolation Technique (RESIT): A Novel Interpolation Method for Scalp EEG.

Authors:  Li Dong; Lingling Zhao; Yufan Zhang; Xue Yu; Fali Li; Jianfu Li; Yongxiu Lai; Tiejun Liu; Dezhong Yao
Journal:  Brain Topogr       Date:  2021-05-05       Impact factor: 3.020

3.  A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis.

Authors:  Li Dong; Xiaobo Liu; Lingling Zhao; Yongxiu Lai; Diankun Gong; Tiejun Liu; Dezhong Yao
Journal:  Front Neurosci       Date:  2019-10-11       Impact factor: 4.677

4.  Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening.

Authors:  Yongjie Zhu; Chi Zhang; Hanna Poikonen; Petri Toiviainen; Minna Huotilainen; Klaus Mathiak; Tapani Ristaniemi; Fengyu Cong
Journal:  Brain Topogr       Date:  2020-03-02       Impact factor: 3.020

5.  The Effects of Sensory Threshold Somatosensory Electrical Stimulation on Users With Different MI-BCI Performance.

Authors:  Long Chen; Lei Zhang; Zhongpeng Wang; Bin Gu; Xin Zhang; Dong Ming
Journal:  Front Neurosci       Date:  2022-06-17       Impact factor: 5.152

  5 in total

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