{"id":"doi:10.1038/s43856-026-01967-y","kind":"review","title":"Connectomic signatures advance the understandings of transdiagnostic heterogeneity in psychosis","authors":["Du Y","Zhang J","Ma T","Ye C"],"author_count":4,"year":2026,"published":"2026-10-10","venue":"Communications medicine","cited_by":0,"doi":"10.1038/s43856-026-01967-y","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1038/s43856-026-01967-y","archive_url":"https://space-kitty.com/papers/doi:10.1038/s43856-026-01967-y","updated":null,"pmid":"42859173","pmcid":null,"openalex_id":null,"pdf_url":null,"abstract":"Current consensus-driven diagnostic systems poorly capture the marked heterogeneity and high comorbidity of psychiatric disorders, necessitating brain-based transdiagnostic frameworks to advance mechanistic understanding and clinical translation. Connectome-wide association studies have consistently identified widespread large-scale dysconnectivity across diagnostic boundaries, yet normative modeling and meta-analytic evidence highlights substantial inter-individual variability in the spatial topography and magnitude of connectomic deviations. In this Perspective, we bridge this divide between cross-disorder commonalities and individualized pathology by integrating connectomic overlap and computational biotyping into a top-down, four-tiered hierarchical architecture. This framework progresses from macro-scale transdiagnostic topological scaffolds, through meso-scale phenotypic triangulation, to data-driven biotypes and micro-scale clinical translations, delineating bidirectional interplay between shared network constraints and heterogeneous pathological diversification. Building on this architecture, we outline strategies leveraging multi-cohort data harmonization and healthy-anchored normative biotyping to refine robust cross-disorder circuits and reproducible neurobiotypes. Lastly, we propose a translational roadmap to transition connectomic stratification toward prospective, treatment-relevant clinical validation in precision psychiatry.","abstract_license":"CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)","license":"CC-BY","is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":[],"details":null,"provenance":"europepmc","attribution":"Abstract of \"Connectomic signatures advance the understandings of transdiagnostic heterogeneity in psychosis\" by Du Y, Zhang J, Ma T et al., https://doi.org/10.1038/s43856-026-01967-y, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.","topics":[{"slug":"connectomics","name":"Connectomics & Brain Mapping","domain_slug":"neuroscience"}],"cited_in_dossiers":[]}