SynthesisTranslational psychiatry2021
Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis.
Synthesis in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
73 citing papers in PubMed, 4 syntheses or guidelines pooled it, 174 citations in OpenAlex.
- The resting-state brain activity signatures for addictive disorders.Med (New York, N.Y.) · 2024Pooled it
- Distinct brain structural abnormalities in attention-deficit/hyperactivity disorder and substance use disorders: A comparative meta-analysis.Translational psychiatry · 2022Pooled it
- A coordinate-based meta-analysis of white matter alterations in patients with alcohol use disorder.Translational psychiatry · 2022Pooled it
- Age- and Sex-Related Cortical Gray Matter Volume Differences in Adolescent Cannabis Users: A Systematic Review and Meta-Analysis of Voxel-Based Morphometry Studies.Frontiers in psychiatry · 2021Pooled it
- Brain connectomics markers for response prediction to transcranial magnetic stimulation in cocaine use disorder.Scientific reports · 2025Trial
- Substance use involvement moderates the effect of cortisol response on white-matter microstructure longitudinally.Dialogues in clinical neuroscience · 2026Article
- Structural alterations in early auditory cortex in borderline personality disorder with auditory verbal hallucinations.Brain structure & function · 2026Article
- Linking Affective Symptoms and Brain Morphology in Cocaine Use Disorder: An Integrated Network Approach.European addiction research · 2026Article
- Disrupted Functional Brain Network Topology in Etomidate Misuse.Alpha psychiatry · 2026Article
- Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder.BMC medicine · 2026Article
- Nonlinear associations between body mass index and brain microstructure across adolescence in the ABCD Study.bioRxiv : the preprint server for biology · 2026Article
- Brain Structure and Substance Use: Disentangling Risk, Exposure, and Drug-Specific Effects.medRxiv : the preprint server for health sciences · 2026Article
- From Neuroadaptation to Neuroprogression: Rethinking Chronic Cocaine Exposure Through a Model of Cocaine-Related Cerebropathy.Journal of clinical medicine · 2026Article
- The Impaired Response Inhibition and Salience Attribution Model of Drug Addiction: Recent Neuroimaging Evidence and Future Directions.Annual review of psychology · 2026Review
- Prefrontal-centered cortical alterations and network dysconnectivity in cocaine use disorder.Frontiers in psychiatry · 2026Article
- Dorsomedial striatal neuroinflammation causes excessive goal-directed action control by disrupting astrocyte function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Magnetic Resonance Imaging Textural Changes Are More Sensitive Than Volumetric Changes in the Amygdala of Cocaine Use Disorder Patients.NMR in biomedicine · 2026Article
- Phenome-wide analysis of genetically imputed neuroimaging phenotypes reveals associations with psychiatric traits in a multi-ancestry cohort.medRxiv : the preprint server for health sciences · 2025Article
- Early nicotine initiation and white matter integrity: Associations from late childhood to mid-adolescence.Drug and alcohol dependence · 2025Article
- Choice of Processing Pipelines for T1-Weighted Brain MRI Impacts Association and Prediction Analyses.Human brain mapping · 2025Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Substance use disorders (SUDs) are characterized by a compulsion to seek and consume one or more substances of abuse, with a perceived loss of control and a negative emotional state. Prolonged substance use seems to be associated with morphological changes of multiple neural circuits, in particular the frontal-striatal and limbic pathways. Such neuroadaptations are evident across several substance disorders, but may vary depending on the type of substance, consumption severity and/or other unknown factors. We therefore identified studies investigating the effects of SUDs using volumetric whole-brain voxel-based morphometry (VBM) in gray (GM) and white matter (WM). We performed a systematic review and meta-analysis of VBM studies using the anatomic likelihood estimation (ALE) method implemented in GingerALE (PROSPERO pre-registration CRD42017071222 ). Sixty studies met inclusion criteria and were included in the final quantitative meta-analysis, with a total of 614 foci, 94 experiments and 4938 participants. We found convergence and divergence in brain regions and volume effects (higher vs. lower volume) in GM and WM depending on the severity of the consumption pattern and type of substance used. Convergent pathology was evident across substances in GM of the insula, anterior cingulate cortex, putamen, and thalamus, and in WM of the thalamic radiation and internal capsule bundle. Divergent pathology between occasional use (cortical pathology) and addiction (cortical-subcortical pathology) provides evidence of a possible top-down neuroadaptation. Our findings indicate particular brain morphometry alterations in SUDs, which may inform our understanding of disease progression and ultimately therapeutic approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.