{"doi":"10.1016/j.biopsych.2025.07.021","title":"Lifespan Normative Models of White Matter Fractional Anisotropy: Applications to Early Psychosis","abstract":"BACKGROUND: This study presents large-scale normative models of white matter (WM) organization across the lifespan, using diffusion magnetic resonance imaging data from over 25,000 healthy individuals ages 0 to 100 years from multiple cohorts including the Human Connectome Project (HCP) Lifespan and UK Biobank. These models capture lifespan trajectories and interindividual variation in fractional anisotropy (FA), a marker of WM integrity. METHODS: By addressing non-Gaussian data distributions, self-reported race, and site effects, the models offer reference baselines across diverse ages and scanning conditions. We applied these FA models to the HCP Early Psychosis cohort and performed a multivariate analysis to map symptoms onto deviations from multimodal normative models using multiview sparse canonical correlation analysis. RESULTS: Our results reveal extensive WM heterogeneity in psychosis, which is not captured by group-level analyses, with key regions identified, including the right uncinate fasciculus and thalami. CONCLUSIONS: These normative models offer valuable tools for individualized WM deviation identification, improving precision in psychiatric assessments. All models are publicly available for community use.","journal":"Biological Psychiatry","year":2025,"id":513977,"datarank":0.3681267047837741,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.022738940834667182,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.022738940834667182,"corpus_percentile":51.31120909723834,"corpus_rank":6295,"citation_count":9,"citer_count":7,"citers_with_citation_signal":2,"citers_with_endowment":2,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.7667,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":342818,"name":"Natalie J. Forde","orcid":"0000-0002-1452-0600","position":1,"is_corresponding":false},{"id":461125,"name":"Hui Zhang","orcid":"0000-0002-5426-2140","position":2,"is_corresponding":false},{"id":263474,"name":"Gerhard Hellemann","orcid":"0000-0003-2449-7704","position":3,"is_corresponding":false},{"id":341865,"name":"Christian F. Beckmann","orcid":"0000-0002-3373-3193","position":4,"is_corresponding":false},{"id":478500,"name":"Nina V. Kraguljac","orcid":"0000-0003-2567-4098","position":5,"is_corresponding":false},{"id":107839,"name":"André F. Marquand","orcid":"0000-0001-5903-203X","position":6,"is_corresponding":false},{"id":1338861,"name":"Ramona Cîrstian","orcid":"0000-0001-7302-6314","position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-07-19T02:48:23.284782Z","pmid":"40754177","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}