Cross Mutual Information Analysis of EEG Signals for Cognitive Task Discrimination

Joaquin Peralta, Christian Flores

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

Abstract

This study aims to assess Functional Connectivity (FC) using the Cross Mutual Information (CMI) approach between differents brain areas while several patients perform five cognitive tasks. Thus, we used six electrodes of electroencephalograms (EEG) located in different brain areas. A hypothesis Wilcoxon signed-rank test was applied to evaluate the statistical differences for all combinations between cognitive task, electrode pairs, and brain bands which add up to 225 combinations. The results reported statistical difference (p< 0.05 ) for all 225 combinations. Therefore, the proposed approach reported the use of CMI as a feasible tool for analyzing Functional Connectivity (FC) using EEG brain signals for cognitive tasks besides discriminating them.

Original languageEnglish
Title of host publicationProceedings of the 7th Brazilian Technology Symposium, BTSym 2021 - Emerging Trends in Human Smart and Sustainable Future of Cities Volume 1
EditorsYuzo Iano, Osamu Saotome, Guillermo Leopoldo Kemper Vásquez, Claudia Cotrim Pezzuto, Rangel Arthur, Gabriel Gomes de Oliveira
PublisherSpringer Science and Business Media Deutschland GmbH
Pages133-142
Number of pages10
ISBN (Print)9783031044342
DOIs
StatePublished - 2023
Externally publishedYes
Event7th Brazilian Technology Symposium, BTSym 2021 - Virtual, Online
Duration: 8 Nov 202110 Nov 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume207 SIST
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference7th Brazilian Technology Symposium, BTSym 2021
CityVirtual, Online
Period8/11/2110/11/21

Keywords

  • Cognitive tasks
  • Cross-mutual information
  • EEG
  • Functional connectivity
  • Mutual information

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