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Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication
Published on: February 6, 2019
Resting state functional connectivity patterns associate with alcohol use disorder characteristics: Insights from the
Daniel Guerrero1, Mario Dzemidzic2, Mahdi Moghaddam1
1Edwardson School of Industrial Engineering, Purdue University, West-Lafayette, IN, USA; Purdue Institute of Integrative Neuroscience, Purdue University, West-Lafayette, IN, USA.
Heavy alcohol use alters brain connectivity, impacting Alcohol Use Disorder (AUD) severity. This study identified specific functional connectivity patterns linked to drinking behaviors and AUD characteristics, offering potential treatment targets.
Area of Science:
- Neuroscience
- Psychiatry
- Addiction Research
Background:
- Prolonged alcohol use leads to neuroadaptations associated with severe and treatment-resistant Alcohol Use Disorder (AUD).
- Understanding the brain's functional connectivity patterns is crucial for characterizing AUD and developing effective treatments.
Purpose of the Study:
- To identify functional connectivity brain patterns associated with AUD-related characteristics in heavy alcohol users.
- To investigate the relationship between resting-state functional connectivity (rsFC) of key brain networks and various AUD indicators.
Main Methods:
- Utilized a multivariate data-driven approach (regularized partial least squares - rPLS) combined with the triple network model (TNM).
- Analyzed rsFC data from 55 adults with heavy alcohol use, correlating it with self-reported alcohol use, alcohol seeking, urgency, and sociodemographic factors.
Main Results:
- Identified three key associations: 1) drinking/age-related communication between Salience Network (SN) and Frontoparietal (FPN)/Default Mode (DMN) networks. 2) AUD family history/urgency anticorrelations between SN and FPN. 3) Alcohol seeking/sex-associated interactions between SN and DMN.
- These findings integrate existing literature on functional connectivity and AUD factors.
Conclusions:
- Discovered specific neural mechanisms and brain regions associated with AUD characteristics.
- These identified brain patterns and regions represent potential therapeutic targets for AUD in both clinical and preclinical settings.
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