Neural alterations in substance use disorders: A meta-analysis using activation network mapping across and within...

Area of Science:

• Neuroscience
• Neuroimaging
• Psychiatry

Background:

• Task-based functional magnetic resonance imaging (fMRI) studies on substance use disorders (SUDs) have yielded inconsistent results.
• Low reproducibility may stem from traditional analyses not capturing the brain's dynamic, connected nature.
• This meta-analysis addresses these limitations by examining network-level brain alterations in SUDs.

Purpose of the Study:

• To identify consistent network alterations in individuals with SUDs across various task domains.
• To compare traditional univariate meta-analysis with a network-based approach for reproducibility.
• To investigate if specific task domains, like drug cue exposure, show unique network patterns in SUDs.

Main Methods:

• Conducted a traditional coordinate-based meta-analysis (activation likelihood estimation).
• Performed a network-based meta-analysis using activation network mapping (ANM).
• Analyzed task-based fMRI studies involving individuals with SUDs across and within task domains.

Main Results:

• Traditional meta-analysis showed limited spatial convergence and low reproducibility.
• Activation network mapping (ANM) identified a reproducible functional network (striatum, thalamus, cingulate, precuneus) across task domains.
• Drug cue exposure revealed unique alterations within the brain's reward system, distinct from other task domains.

Conclusions:

• A network-based approach is crucial for advancing neurobiological understanding of SUDs.
• Findings support the importance of network models over univariate approaches for SUD research.
• A unique neural network underlies drug cue exposure in SUDs, aligning with incentive-sensitization theory.