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Related Experiment Video

Updated: May 9, 2025

Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication

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Published on: February 6, 2019

Resting State Functional Connectivity Patterns Associate with Alcohol Use Disorder Characteristics: Insights from the

Daniel Guerrero^1,2, Mario Dzemidzic^3,4, Mahdi Moghaddam^1,2

¹Edwardson School of Industrial Engineering, Purdue University, West-Lafayette, IN, USA.

|April 29, 2025

Summary

This summary is machine-generated.

Heavy alcohol use alters brain connectivity. This study linked functional connectivity in the Salience, Frontoparietal, and Default Mode networks to alcohol use disorder characteristics, offering potential new treatment targets.

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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

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Published on: July 1, 2014

Area of Science:

Neuroscience
Psychiatry
Addiction Research

Background:

Prolonged alcohol consumption leads to neuroadaptations associated with severe and treatment-resistant Alcohol Use Disorder (AUD).
Understanding the brain's functional connectivity patterns is crucial for identifying AUD subtypes and developing targeted treatments.

Purpose of the Study:

To identify functional connectivity brain patterns associated with AUD-related characteristics in adults with heavy alcohol use.
To investigate the relationship between resting-state functional connectivity (rsFC) of the Salience Network (SN), Frontoparietal Network (FPN), and Default Mode Network (DMN) and AUD indicators.

Main Methods:

Utilized a multivariate data-driven approach, regularized partial least squares (rPLS), combined with the triple network model (TNM).
Analyzed rsFC patterns in 55 adults (31 female) with heavy alcohol use.
Correlated FC patterns with self-reported alcohol use, alcohol seeking behavior, urgency, and sociodemographic factors.

Main Results:

Identified three key associations: 1) drinking and age-related cross-network communication between SN, FPN, and DMN; 2) family history of AUD and urgency-related anticorrelations between SN and FPN; 3) alcohol seeking and sex-associated interactions between SN and DMN.
Demonstrated specific functional connectivity patterns linked to distinct AUD characteristics.

Conclusions:

Findings highlight the utility of integrating theory-driven and data-driven methods to understand brain mechanisms in AUD.
Revealed associations between resting-state functional substrates and AUD characteristics, suggesting potential novel treatment targets.
Supports the development of targeted interventions for AUD based on identified neurobiological markers.