{"doi":"10.1016/j.bpsgos.2025.100552","title":"Brain Volume Reductions and Relationship With Depression and Cognitive Functioning in Suicide in Older Adults: A Cross-Sectional and Longitudinal Study Using Bayesian Multilevel Modeling","abstract":"Background: In older adults, depression with cognitive impairment may be a harbinger of early dementia and a risk factor for suicidal behavior. However, the neuroanatomical correlates of these impairments are unknown, particularly when examined longitudinally. Methods: = 35) completed T1 structural magnetic resonance imaging scans. Of these participants, 51 had repeated scans (days between scans mean [SD] = 415 [252], range = 90-1091). Bayesian multilevel modeling with false discovery rate correction tested cross-sectional group differences and prospective changes in brain volumes as a function of suicide attempt history, depression severity, and cognitive functioning. Results: Three broad categories of individual differences emerged: 1) a history of attempted suicide and impaired executive functioning related to and predicted volumes in temporal areas, neighboring parietal and occipital regions, and the hippocampus; 2) frontal and subcortical volume reductions related to depression, particularly current episode severity; and 3) cognitive impairment typical of cortical dementia predicted medial temporal volume reduction. Conclusions: A history of suicidal behavior, depression, and dementia-related cognitive decline are accompanied by reduced brain volumes in largely non-overlapping regions that nevertheless converge on the hippocampus. The hippocampus may be a nexus where independent changes associated with depression and suicide diathesis factors co-occur with dementia-related neurodegeneration. These results support distinct neurocognitive deficits in late-life suicide in older adults. A better understanding of hippocampal structure and function in people at risk of suicide will advance both risk prediction and treatment development.","journal":"Biological Psychiatry Global Open Science","year":2025,"id":568703,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9114,"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":526778,"name":"Swathi Gujral","orcid":"0000-0003-4775-2106","position":1,"is_corresponding":false},{"id":1473849,"name":"Ya-Wen Chang","orcid":null,"position":2,"is_corresponding":false},{"id":348369,"name":"Hanga Galfalvy","orcid":"0000-0001-7156-6106","position":3,"is_corresponding":false},{"id":348368,"name":"Katalin Szántó","orcid":"0000-0002-4449-612X","position":4,"is_corresponding":false},{"id":348371,"name":"Alexandre Y. Dombrovski","orcid":"0000-0002-2054-4772","position":5,"is_corresponding":false},{"id":397575,"name":"Vanessa M. Brown","orcid":"0000-0003-0968-1095","position":0,"is_corresponding":true}],"reference_count":68,"raw_metadata":null,"created_at":"2026-07-19T02:56:55.795846Z","pmid":"40778087","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":[]}