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Detecting patterns of atypical neuroanatomical maturation across psychiatric disorders requires an interpretable metric standardized by age-, sex- and site-effect. The molecular and micro-architectural attributes that account for these deviations in brain structure from typical neurodevelopment are still unknown. Here, we aggregate structural magnetic resonance imaging data from 38,696 healthy controls (HC) and 1256 psychosis-related conditions, including first-degree relatives of schizophrenia (SCZ) and schizoaffective disorder (SAD) patients (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009160), individuals who had psychotic experiences (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009157), patients who experienced a first episode of psychosis (FEP,\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009352), and individuals with chronic SCZ or SAD (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009587). Using a normative modeling approach, we generated centile scores for cortical gray matter (GM) phenotypes, identifying deviations in regional volumes below the expected trajectory for all conditions, with a greater impact on the clinically diagnosed ones, FEP and chronic. Additionally, we mapped 46 neurobiological features from healthy individuals (including neurotransmitters, cell types, layer thickness, microstructure, cortical expansion, and metabolism) to these abnormal centiles using a multivariate approach. Results revealed that neurobiological features were highly co-localized with centile deviations, where metabolism (e.g., cerebral metabolic rate of oxygen (CMRGlu) and cerebral blood flow (CBF)) and neurotransmitter concentrations (e.g., serotonin (5-HT) and acetylcholine (\u03b1\n                    <jats:sub>4<\/jats:sub>\n                    \u03b2\n                    <jats:sub>2<\/jats:sub>\n                    ) receptors) showed the most consistent spatial overlap with abnormal GM trajectories. Taken together these findings shed light on the vulnerability factors that may underlie atypical brain maturation during different stages of psychosis.\n                  <\/jats:p>","DOI":"10.1038\/s41380-024-02724-0","type":"journal-article","created":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T02:10:55Z","timestamp":1726107055000},"page":"1287-1296","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Molecular and micro-architectural mapping of gray matter alterations in psychosis"],"prefix":"10.1038","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2071-2289","authenticated-orcid":false,"given":"Natalia","family":"Garc\u00eda-San-Mart\u00edn","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0714-0685","authenticated-orcid":false,"given":"Richard A. 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