Common and separable neural alterations in substance use disorders: A coordinate‐based meta‐analyses of functional neuroimaging studies in humans

Abstract

Delineating common and separable neural alterations in substance use disorders (SUD) is imperative to understand the neurobiological basis of the addictive process and to inform substance-specific treatment strategies. Given numerous functional MRI (fMRI) studies in different SUDs, a meta-analysis could provide an opportunity to determine robust shared and substance-specific alterations. The present study employed a coordinate-based meta-analysis covering fMRI studies in individuals with addictive cocaine, cannabis, alcohol, and nicotine use. The primary meta-analysis

Common neurofunctional dysregulations characterize obsessive–compulsive, substance use, and gaming disorders—An activation likelihood meta‐analysis of functional imaging studies

“…Moreover, the percentage distribution of the classified RDoC domains was computed for each cluster in each diagnostic category. Resembling the results from our previous SUD‐focused meta‐analysis, 31 the main effect across all SUDs primarily revealed clusters located in (dorsal) striatal regions as well as frontal and insular regions (Figure 2A1,A2). For all clusters contribution of CS (RDoC construct: attention, cognitive control, working memory, and memory encoding) were the highest, followed by contributions of the PVS (RDoC construct: approach/motivation and reward attainment).…”

“…Literature search, screening, and evaluation according to our criteria resulted in a total of 144 articles. In line with our recent meta‐analysis 31 using the same SUD dataset to determine common and substance‐specific neurofunctional alterations across SUDs and revealing convergent alterations in frontostriatal regions across different SUDs, data from studies of different SUDs were included (cocaine, 24.44%; cannabis, 24.44%; alcohol, 31.11%; and nicotine, 20%) and pooled for the present analysis. The RDoC domain classification yielded four categories: PVS, CS, NVS, and SP, the distribution of the various domains across each disorder are shown in Table S8.…”

“…In contrast to both other diagnostic categories IGD was characterized by widespread neurofunctional differences as compared with the healthy reference groups from the original studies in the temporal cortex and to a lesser extend frontal regions. Temporal lobe regions have not been robustly identified in previous meta‐analyses of either OCD or SUD, 16,18,31,40,41 while some previous meta‐analysis on IGD reported temporal as well as frontal alterations, specifically during higher‐level cognitive processes such as executive control 25,50 …”

Common abnormality of gray matter integrity in substance use disorder and obsessive‐compulsive disorder: A comparative voxel‐based meta‐analysis

“…Across the SUDs examined, the insula showed marked decreases in the GMV. The insula alteration was functionally shown in our previous study suggesting common neurofunctional alterations in this region across SUDs (Klugah-Brown et al, 2020) as well as between SUDs and OCD (Klugah-Brownet al, 2021). The insula has increasingly been noted as addiction relevant region, probably via its important role in interoceptive processing, decision making, and/or risky behavior which may promote substance abuse despite being aware of the negative consequences (Naqvi & Bechara, 2009).…”

A prospective longitudinal study shows putamen volume is associated with moderate amphetamine use and resultant cognitive impairments

“…Convergent evidence from animal models and meta-analyses covering neuroimaging studies in human drug users suggest that prolonged drug use is associated with structural and functional adaptations in limbic-striato-prefrontal circuits of the brain (Everitt and Robbins, 2016; Klugah-Brown et al, 2020; Ersche et al, 2013). Accumulating evidence from human studies suggests that the chronic use of ATS is associated with altered brain morphology, particularly deficient grey matter (GM) integrity in limbic-striato-prefrontal brain networks, as well as subtle yet consistently observed, deficits in cognitive and emotional functions that have been associated with this circuitry (Gouzoulis-Mayfrank et al, 2009; Wagner et al, 2013; Ersche et al, 2013; Mackey & Paulus, 2013; Parrott 2015).…”