Application of statistical analysis to working memory problem

TL;DR

This study uses EEG data and VAR-modeling to analyze brain connectivity during working memory tasks, revealing how connection strength varies with task execution.

Contribution

It introduces a novel application of VAR-modeling and Granger Causality PDC to study cortical connectivity in working memory using EEG data.

Findings

Connection strength depends on task execution

Brain connectivity varies between cortical areas during working memory

Method demonstrates effective analysis of EEG connectivity

Abstract

This article is devoted to EEG studying of connectivity cortical areas involved in keeping vision information in working memory. VAR-modeling was used for describing signals got from connected with working memory brain zones. Brain connections were estimated by based in Granger Causality Partial Directed Coherence (PDC) and then compared by Wilcoxon signed-rank test. In paper connection intensity dependence on executing task was found.