Convergent gray matter alterations across drugs of abuse and network-level implications: A meta-analysis of structural MRI studies. (1st November 2022)

• Record Type: Journal Article
• Authors: Hill-Bowen, Lauren D.; Riedel, Michael C.; Salo, Taylor; Flannery, Jessica S.; Poudel, Ranjita; Laird, Angela R.; Sutherland, Matthew T.
• Is Part Of: Drug and alcohol dependence. Volume 240(2022)
• Publication Date: 2022-11-01
• Subjects: Gray matter -- Substance abuse -- Morphometry -- Hierarchical clustering -- Functional connectivity -- Meta-analytical connectivity modeling; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2022.109625
• Languages: English
• ISSNs: 0376-8716

Abstract

Abstract: Background: Neuroimaging studies often consider brain alterations linked with substance abuse within the context of individual drugs (e.g., nicotine), while neurobiological theories of addiction emphasize common brain network-level alterations across drug classes. Using emergent meta-analytic techniques, we identified common structural brain alterations across drugs and characterized the functionally-connected networks with which such structurally altered regions interact. Methods: We identified 82 articles characterizing gray matter (GM) volume differences for substance users vs. controls. Using the anatomical likelihood estimation algorithm, we identified convergent GM reductions across drug classes. Next, we performed resting-state and meta-analytic functional connectivity analyses using each structurally altered region as a seed and computed whole-brain functional connectivity profiles as the union of both maps. We characterized an "extended network" by identifying brain areas demonstrating the highest degree of functional coupling with structurally impacted regions. Finally, hierarchical clustering was performed leveraging extended network nodes' functional connectivity profiles to delineate subnetworks. Results: Across drug classes, we identified medial frontal/ventromedial prefrontal, and multiple regions in anterior cingulate (ACC) and insula as regions displaying convergent GM reductions among users. Overlap of these regions' functional connectivity profiles identified ACC, inferior frontal, PCC, insula, superior temporal, and putamen as regions of an impacted extended network. Hierarchical clustering revealed 3 subnetworks closely corresponding to default mode (PCC, angular), salience (dACC, caudate), and executive control networks (dlPFC and parietal). Conclusions: These outcomes suggest that substance-related structural brain alterations likely have implications for the functioning of canonical large-scale networks and the perpetuation of substance use and neurocognitive alterations. Highlights: Drug use-related gray matter reductions in medial frontal, cingulate, and insula. Extended functional impacts in inferior frontal, cingulate, insula, and putamen. Subnetworks closely correspond to tripartite network heuristic framework. Decoding highlights likely behavioral implications of drug-related brain changes.