High-resolution mapping of alcohol-related brain connectivity in adults using 7T fMRI and multivoxel pattern classification.

Journal: Psychiatry research. Neuroimaging
Published Date:

Abstract

BACKGROUND: Emerging evidence suggests that alcohol use disrupts large-scale brain network interactions, particularly within the triple network model-comprising the Salience Network (SN), Default Mode Network (DMN), and Frontoparietal Network (FPN). However, few studies have examined how these connectivity alterations vary across the full spectrum of alcohol consumption, especially using ultra-high-field imaging and data-driven approaches. This study leverages 7 Tesla resting-state fMRI and multivariate pattern analysis (MVPA) to characterize distinct brain connectivity patterns across heavy, moderate, and non-drinking adults, aiming to identify neural signatures that differentiate alcohol use severity levels.

Authors

  • Alan N Francis
    Institute of Neuroscience, School of Medicine, University of Texas, Rio Grande Valley, USA. Electronic address: alan.francis@utrgv.edu.
  • Ihsan M Salloum
    Institute of Neuroscience, School of Medicine, University of Texas, Rio Grande Valley, USA.