ArticleMolecular psychiatry2023
Cortical profiles of numerous psychiatric disorders and normal development share a common pattern.
Article in Molecular psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 11 citations in OpenAlex.
- BrainEnrich: Revealing Biological Insights for Imaging-Derived Phenotypes Through Transcriptomic Enrichment.Human brain mapping · 2026Article
- Copy number variants reveal divergent genetic and diagnostic cortical signatures across psychiatric disorders.Research square · 2026Article
- Cortical differences across psychiatric disorders and associated common and rare genetic variants.medRxiv : the preprint server for health sciences · 2025Article
- Altered individual gray matter structural covariance networks in early abstinence patients with alcohol dependence.Brain imaging and behavior · 2024Article
- Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence.Journal of child psychology and psychiatry, and allied disciplines · 2024Article
- Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesity.Human brain mapping · 2024Article
- Unraveling the molecular relevance of brain phenotypes: A comparative analysis of null models and test statistics.NeuroImage · 2024Article
- Is There a Natural, Non-addictive, and Non-anti-reward, Safe, Gene-based Solution to Treat Reward Deficiency Syndrome? KB220 Variants vs GLP-1 Analogs.Journal of addiction psychiatry · 2024Article
- Recalibrating single-study effect sizes using hierarchical Bayesian models.Frontiers in neuroimaging · 2023Article
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Authors and funding
57 authors at 20 institutions in 9 countries.
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Abstract
The neurobiological bases of the association between development and psychopathology remain poorly understood. Here, we identify a shared spatial pattern of cortical thickness (CT) in normative development and several psychiatric and neurological disorders. Principal component analysis (PCA) was applied to CT of 68 regions in the Desikan-Killiany atlas derived from three large-scale datasets comprising a total of 41,075 neurotypical participants. PCA produced a spatially broad first principal component (PC1) that was reproducible across datasets. Then PC1 derived from healthy adult participants was compared to the pattern of CT differences associated with psychiatric and neurological disorders comprising a total of 14,886 cases and 20,962 controls from seven ENIGMA disease-related working groups, normative maturation and aging comprising a total of 17,697 scans from the ABCD Study® and the IMAGEN developmental study, and 17,075 participants from the ENIGMA Lifespan working group, as well as gene expression maps from the Allen Human Brain Atlas. Results revealed substantial spatial correspondences between PC1 and widespread lower CT observed in numerous psychiatric disorders. Moreover, the PC1 pattern was also correlated with the spatial pattern of normative maturation and aging. The transcriptional analysis identified a set of genes including KCNA2, KCNS1 and KCNS2 with expression patterns closely related to the spatial pattern of PC1. The gene category enrichment analysis indicated that the transcriptional correlations of PC1 were enriched to multiple gene ontology categories and were specifically over-represented starting at late childhood, coinciding with the onset of significant cortical maturation and emergence of psychopathology during the prepubertal-to-pubertal transition. Collectively, the present study reports a reproducible latent pattern of CT that captures interregional profiles of cortical changes in both normative brain maturation and a spectrum of psychiatric disorders. The pubertal timing of the expression of PC1-related genes implicates disrupted neurodevelopment in the pathogenesis of the spectrum of psychiatric diseases emerging during adolescence.
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