Schizophrenia’s substantial heterogeneity poses a major challenge for understanding its neurobiological mechanisms and predicting treatment response. Moving toward precision psychiatry, we identified clinically meaningful subtypes and characterised their neural and pharmacological profiles. Clustering of multidimensional clinical feature space revealed two distinct patient subtypes, primarily differentiated by degree of illness insight. In parallel, three symptom-severity groups defined by positive and negative psychopathology dimensions provided a complementary stratification framework. Resting-state fMRI analyses revealed that higher-insight patients exhibited greater dynamic reconfiguration of regional functional connectivity, emerging as the primary neuroimaging feature differentiating subtypes. Multivariate classification and feature importance analysis confirmed the discriminative value of neuroimaging metrics. Across both subtyping approaches, regional flexibility was spatially associated with cortical receptor density maps in a subtype-specific manner, particularly for D2 and 5-HT2A when accounting for estimated antipsychotic receptor occupancies. Additionally, pharmacological–clinical associations were stronger and more spatially widespread in specific subtypes, indicating subtype-dependent pharmacodynamic relationships. Furthermore, structural equation modelling demonstrated that neuroimaging measures mediate receptor pharmacology’s influence on clinical outcomes. These findings together show that integrating clinical, neuroimaging, and pharmacological data can uncover biologically grounded schizophrenia subtypes, identify functional biomarkers, and inform personalised therapeutic strategies.
Competing Interest StatementThe authors have declared no competing interest.
Funding StatementThis work was supported by the A*MIDEX foundation (Aix-Marseille University Initiative of Excellence) through the 2021 Interdisciplinarity Call for Projects, under the project "REPORTS" (bRain modEling and PharmacOclinical Response To Schizophrenia). This project was carried out within Aix-Marseille University and its affiliated institutions, including the Institut de Neurosciences des Systemes (Inserm UMR 1106), the Centre for Magnetic Resonance in Biology and Medicine (CRMBM UMR 7339), and the Academic Department of Psychiatry at AP-HM (Schizophrenia Expert Center, FondaMental Foundation). In addition this research has received funding from the European Union's Horizon Europe Programme under the Specific Grant Agreement No. 101147319 (EBRAINS 2.0 Project) and No. 101137289 (Virtual Brain Twin Project). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. All authors report no biomedical financial interests or potential conflicts of interest.
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The ethics committee of Aix-Marseille University gave ethical approval for this work.
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Data AvailabilityAll data produced in the present study are available upon reasonable request to the authors
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