Comparison of EEG Synchrony Measures for Post-Stroke Neurorehabilitation

Teiji Kawano, Noriaki Hattori, Megumi Hatakenaka, Yutaka Uno, Hajime Yagura, Hiroaki Fujimoto, Tomomi Yoshioka, Michiko Nagasako, Hironori Otomune, Keiichi Kitajo, Ichiro Miyai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In post-stroke neurorehabilitation, the Functional Independence Measure (FIM) is a standard clinical scale used to assess patient's activities of daily living. Recently, we reported a new electroencephalography-based biomarker (the phase synchrony index) that correlates with this scale. For a more comprehensive evaluation, we compared three synchrony measures: phase synchrony index, phase lag index, and imaginary part of coherency. These synchrony measures showed a significant correlation with FIM motor subscores in the same frequency bands, but in different ways. These differences may be partly attributed to the susceptibility to the spurious synchrony by volume conduction effects and/or presence of the ceiling effect of synchrony measures. Our results suggest that we should select an appropriate synchrony measure as a biomarker for stroke recovery depending on the brain network of interest.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-38
Number of pages4
ISBN (Electronic)9781538666500
DOIs
StatePublished - 2018/07/02
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 2018/10/072018/10/10

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/TerritoryJapan
CityMiyazaki
Period2018/10/072018/10/10

Keywords

  • Functional Independence Measure
  • electroencephalography
  • neurorehabilitation
  • stroke
  • synchrony

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

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