{"doi":"10.1101/2021.12.13.472507","title":"Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studies","abstract":"Abstract With the increasing availability of large-scale multimodal neuroimaging datasets, it is necessary to develop data fusion methods which can extract cross-modal features. A general framework, multidataset independent subspace analysis (MISA), has been developed to encompass multiple blind source separation approaches and identify linked cross-modal sources in multiple datasets. In this work we utilized the multimodal independent vector analysis model in MISA to directly identify meaningful linked features across three neuroimaging modalities — structural magnetic resonance imaging (MRI), resting state functional MRI and diffusion MRI — in two large independent datasets, one comprising of control subjects and the other including patients with schizophrenia. Results show several linked subject profiles (the sources/components) that capture age-associated decline, schizophrenia-related biomarkers, sex effects, and cognitive performance. For sources associated with age, both shared and modality-specific brain-age deltas were evaluated for association with non-imaging variables. In addition, each set of linked sources reveals a corresponding set of multi-tissue spatial patterns that can be studied jointly.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2021,"id":222156,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9572,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":324028,"name":"Eswar Damaraju","orcid":"0000-0002-5345-3551","position":1,"is_corresponding":false},{"id":572223,"name":"Xinhui Li","orcid":"0000-0001-5604-9493","position":2,"is_corresponding":false},{"id":227759,"name":"Peter Kochunov","orcid":"0000-0003-3656-4281","position":3,"is_corresponding":false},{"id":523634,"name":"Ayşenil Belger","orcid":"0000-0003-2687-1966","position":4,"is_corresponding":false},{"id":107800,"name":"Judith M. Ford","orcid":"0000-0002-6500-6548","position":5,"is_corresponding":false},{"id":289811,"name":"Daniel H. Mathalon","orcid":"0000-0001-6090-4974","position":6,"is_corresponding":false},{"id":235047,"name":"Bryon A. Mueller","orcid":"0000-0003-2429-0391","position":7,"is_corresponding":false},{"id":226064,"name":"Steven G. Potkin","orcid":"0000-0003-1028-1013","position":8,"is_corresponding":false},{"id":236942,"name":"Adrian Preda","orcid":"0000-0003-3373-2438","position":9,"is_corresponding":false},{"id":90656,"name":"Jessica A. Turner","orcid":"0000-0003-0076-8434","position":10,"is_corresponding":false},{"id":236952,"name":"Theo G.M. van Erp","orcid":"0000-0002-2465-2797","position":11,"is_corresponding":false},{"id":428411,"name":"Tülay Adalı","orcid":"0000-0003-0594-2796","position":12,"is_corresponding":false},{"id":227761,"name":"Vince D. Calhoun","orcid":"0000-0001-9058-0747","position":13,"is_corresponding":false},{"id":414164,"name":"Rogers F. Silva","orcid":"0000-0002-7271-1288","position":0,"is_corresponding":true}],"reference_count":40,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:53:59.302331Z","pmid":null,"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":[]}