Shared Social Brain Gray Matter Reductions in Depression, Schizophrenia, and Alcohol Use Disorder: A Meta-Analysis
Bore, M. C.; He, J.; Han, M.; Hagan, A. T.; Liu, X.; Zhang, J.; Kendrick, K.; Huang, X.; Yang, J.; Klugah-Brown, B.; Becker, B.
Show abstract
Importance: Anhedonia, social withdrawal and executive deficits represent transdiagnostic symptoms in depression, schizophrenia and addition, yet transdiagnostic brain volumetric alterations and their contribution to these symptom domains have not been systematically characterized. Objective: To determine common and disorder-specific gray matter deficits in patients with schizophrenia (SZ), major depression disorder (MDD) and alcohol use disorder (AUD) compared to heathy controls. Data Sources: A comprehensive literature search using three databases including PubMed, Web of Science and PsycInfo (between January 2000 to March 2024) as well as searches on review articles. Study Selection: Studies had to be published in English, reporting whole-brain results, comparing patients and healthy controls. Data Extraction and Synthesis: This meta-analysis adhered to the PRISMA guidelines and was pre-registered (https://osf.io/s57uq) prior to data analysis. Data was independently extracted and verified by 3 contributors, and statistical brain maps were generated using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) random-effects model. 147 VBM studies encompassing 90 Schizophrenia, 44 MDD and 13 AUD studies were finally included. Main Outcomes and Measures: Statistical maps of common and disorder-specific gray matter deficits in patients versus healthy controls are presented. Statistical inference utilized permutation tests, with threshold at p < .0025 and cluster extent of 10 voxels. Heterogeneity was evaluated using the I2 statistic and publication bias using Eggers regression test. Results: Capitalizing on a coordinate-based meta-analysis involving n=13,041 participants, we found shared GMV alterations in the ventromedial prefrontal cortex, ventral anterior cingulate cortex, insula, superior temporal gyrus. On the network level, we found robust functional interactions of the identified shared regions with the cortical midline structures as well as social and theory of mind-related behavioral functions. Subsequent characterization analyses highlighted the involvement of dopaminergic and serotonergic neurotransmitters as well as associated genetic annotations. Conclusions and Relevance: Overall, the present meta-analysis found common as well as separate GMV abnormalities in schizophrenia, major depressive disorder and alcohol use disorder suggesting a common neurostructural substrate and treatment target for social withdrawal and anhedonia across these disorders. Keywords: alcohol-use disorder, depression, meta-analysis, schizophrenia, voxel-based morphometry
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Individual-level deviations from normative brain morphology in violence, psychosis, and psychopathy 96%
- Schizophrenia Polygenic Risk Score and 20-Year Course of Illness in Psychotic Disorders 93%
- Pairwise genetic meta-analyses between schizophrenia and substance dependence phenotypes reveals novel association signals 93%
Similar papers in this journal
- Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis 96%
- Cortical and Subcortical Neuroanatomical Signatures of Schizotypy in 3,004 Individuals Assessed in a Worldwide ENIGMA Study 95%
- Interrelations Between Dopaminergic-, GABAergic- and Glutamatergic Neurotransmitters in Antipsychotic-Naïve Psychosis Patients and the Association to Initial Treatment Response 94%
Similar papers in this journal
Similar papers in this journal
- Neurofunctional correlates of Working Memory across Psychosis Stages: A Systematic Review and Meta-analysis 95%
- Common and separable neural alterations in adult and adolescent depression – evidence from neuroimaging meta-analyses 93%
- Systematic review and meta-analysis of the calibration of confidence judgments in individuals with schizophrenia spectrum disorders 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.