Delta resting-state functional connectivity in the cognitive control network as a prognostic factor for maintaining...

Area of Science:

• Neuroscience
• Psychiatry
• Addiction Research

Background:

• Understanding cognitive control mechanisms is crucial for managing alcohol dependence.
• Functional connectivity in the cognitive control network (CCN) is key to overcoming alcohol-induced hyperreactivity.
• Neurophysiological biomarkers for maintaining abstinence require further investigation.

Purpose of the Study:

• Identify neurophysiological biomarkers for sustained abstinence in alcohol-dependent patients post-treatment.
• Investigate resting-state electroencephalography (EEG)-based functional connectivity within the CCN.
• Examine the relationship between CCN connectivity and relapse risk.

Main Methods:

• Assessed lagged phase synchronization in CCN areas using eLORETA.
• Administered the Barratt Impulsiveness Scale (BIS-11) and Beck Depression Inventory (BDI).
• Employed a prospective design to track abstinence over a median of 12 months.

Main Results:

• Abstinent individuals showed increased delta-band connectivity between left DLPFC-IPL and right IA/FO-IFJ compared to relapsers.
• Enhanced left frontoparietal delta connectivity predicted 12-month abstinence.
• Right frontoinsular delta connectivity negatively correlated with impulsivity and depression.

Conclusions:

• Increased delta-band resting-state functional connectivity in the CCN is a potential neurophysiological predictor of abstinence.
• These findings may inform the development of targeted interventions for alcohol dependence.
• Neuroimaging markers could aid in personalized relapse prevention strategies.