Dynamic Neural Network States During Social and Non-Social Cueing in Virtual Reality Working Memory Tasks: A Leading Eigenvector Dynamics Analysis Approach

Dynamic Neural Network States During Social and Non-Social Cueing in Virtual Reality Working Memory Tasks: A Leading Eigenvector Dynamics Analysis Approach

Background/Objectives: This research investigates brain connectivity patterns in reaction to social and non-social stimuli within a virtual reality environment, emphasizing their impact on cognitive functions, specifically working memory. Methods: Employing the LEiDA framework with EEG data from 47...

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Bibliographic Details
Main Author: Pinar Ozel
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Brain Sciences
Subjects:
dynamic brain connectivity
EEG
LEiDA
social cues
virtual reality
deep learning
Online Access:https://www.mdpi.com/2076-3425/15/1/4
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