{"doi":"10.1016/j.bpsgos.2022.08.011","title":"Resting-State Functional Connectivity Explained Psychotic-like Experiences in the General Population and Partially Generalized to Patients and Relatives","abstract":"Psychotic-like experiences (PLEs) are considered the subclinical portion of the psychosis continuum. Research suggests resting-state functional connectivity (rsFC) substrates of PLEs, yet it is unclear if the same substrates underlie more severe psychosis. We report the first study to build a cross-validated rsFC model of PLEs in a large community sample and directly test its ability to explain psychosis in an independent sample of patients with psychosis and their relatives. RsFC of 855 healthy young adults from the Human Connectome Project (HCP) was used to predict PLEs with elastic net. A rsFC composite score based on the resulting model was correlated with psychotic traits and symptoms in 118 patients with psychosis, 71 non-psychotic first-degree relatives, and 45 healthy controls from the psychosis HCP (P-HCP). In the HCP, the cross-validated model explained 3.3% of variance in PLEs. Predictive connections spread primarily across the default, frontoparietal, cingulo-opercular, and dorsal attention networks. The model partially generalized to a younger, but not older, subsample in the P-HCP, explaining two measures of positive/disorganized psychotic traits (the Structured Interview for Schizotypy: β = 0.25, pone-tailed = 0.027, the Schizotypy Personality Questionnaire positive factor: β = 0.14, pone-tailed = 0.041). However, it did not differentiate patients from relatives and controls or explain psychotic symptoms in patients. Some rsFC substrates of PLEs are shared across the psychosis continuum. However, explanatory power was modest and generalization was partial. It is equally important to understand shared versus distinct rsFC variances across the psychosis continuum.","journal":"Biological Psychiatry Global Open Science","year":2022,"id":279354,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9455,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":340188,"name":"Timothy Hendrickson","orcid":"0000-0001-6862-6526","position":1,"is_corresponding":false},{"id":466978,"name":"Ian S. Ramsay","orcid":"0000-0002-5823-012X","position":2,"is_corresponding":false},{"id":952927,"name":"Amanda Y. Shen","orcid":null,"position":3,"is_corresponding":false},{"id":284537,"name":"Scott R. Sponheim","orcid":"0000-0002-2782-0856","position":4,"is_corresponding":false},{"id":326765,"name":"Angus W. MacDonald","orcid":"0000-0003-4588-931X","position":5,"is_corresponding":false},{"id":733885,"name":"Yizhou Ma","orcid":"0000-0002-2775-5660","position":0,"is_corresponding":true}],"reference_count":80,"raw_metadata":null,"created_at":"2026-07-19T00:28:51.322666Z","pmid":"37881569","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":[]}