Brain network analysis of hand motor execution and imagination based on Granger causality

Jiaxin Zhang, Rui Xu, Abdelkader Nasreddine Belkacem, Duk Shin, Kun Wang, Zhongpeng Wang, Lu Yu, Zhifeng Qiao, Changming Wang, Chao Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper around the EEG in sports and exercise, the more fine hand movements are discussed in this paper, based on EGI EEG acquisition system of complex gestures movement execution and thought experiments, using independent component analysis (ICA) to remove eye electric artifact, the cut data are divided into the two parts of movement and imagination, and 60 trials superposition average, using the method of Granger causality analysis (GCM) are analyzed in the movement of the beta band performing and imagine premotor, motor area and hat with lobular effective connectivity, It was found that the connection network of hand motor execution was more complex than that of hand motor imagination and the strength of the connection performed by hand motor execution was greater than that imagined by hand motor imagination.

Original languageEnglish
Title of host publicationIEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538673959
DOIs
Publication statusPublished - May 2019
Event2019 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2019 - Nanjing, China
Duration: May 6 2019May 8 2019

Publication series

NameIEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings

Conference

Conference2019 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2019
Country/TerritoryChina
CityNanjing
Period5/6/195/8/19

Keywords

  • Brain network
  • EEG data analysis
  • Granger causality analysis
  • Motor imagination
  • Motor performance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Health Informatics
  • Instrumentation
  • Human-Computer Interaction
  • Biomedical Engineering

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