Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support.

ABSTRACT:

Introduction

The study of attention has been pivotal in advancing our comprehension of cognition. The goal of this study is to investigate which EEG data representations or features are most closely linked to attention, and to what extent they can handle the cross-subject variability.

Methods

We explore the features obtained from the univariate time series from a single EEG channel, such as time domain features and recurrence plots, as well as representations obtained directly from the multivariate time series, such as global field power or functional brain networks. To address the cross-subject variability in EEG data, we also investigate persistent homology features that are robust to different types of noise. The performance of the different EEG representations is evaluat

SUBMITTER: Turkes R 

PROVIDER: S-EPMC11758281 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature