Exploring Visual Brain Networks and Biological Sex in Assessing Psychiatric Vulnerabilities (Spoke6)

Cristina Berchio (Università degli studi di Bari "Aldo Moro", FAIR Spoke 6 - Symbiotic AI) presents "Exploring Visual Brain Networks and Biological Sex in Assessing Psychiatric Vulnerabilities: Insights from MEG and EEG Microstates".

This presentation is part of the Virtual Young Poster Session of the FAIR 2024 General Conference.

Biological sex is a crucial vulnerability factor for several psychiatric conditions. Nevertheless, it has been only poorly investigated so far. Electroencephalography (EEG) microstates (MS) are transient, stable patterns of brain activity linked to large-scale brain networks that can be identified using K-means clustering analysis. In a recent study conducted on 113 participants, we demonstrated that MEG resting-state signals can be decomposed into a series of MS associated with large-scale networks (Valt, Tavella et al accepted). This study aims to evaluate the feasibility of employing EEG and MEG MS clusters to identify visual neural signatures related to biological sex, which could help in more accurately discriminating between patients with different psychiatric diagnoses.