{"doi":"10.1002/alz.70733","title":"Neuroimaging markers of dementia across race/ethnicity and sex/gender using an intersectional approach within the HABS‐HD cohort","abstract":"INTRODUCTION: Racial/ethnic and sex/gender differences in neuroimaging markers of dementia have been previously explored, but rarely with an intersectional approach. METHODS: Using data from the Health and Aging Brain Study-Health Disparities cohort, we examined neuroimaging markers of dementia using both interaction between race/ethnicity and sex/gender and effect modification of race/ethnicity by sex/gender. RESULTS: We analyzed data from 3433 dementia-free participants with either magnetic resonance imaging or positron emission tomography (PET) data at baseline (mean [standard deviation] age: 65 [9] years, 36% non-Hispanic White [NHW], 27% Black, 37% Hispanic, and 63% women). Compared to NHW, Black men had lower global amyloid PET standardized uptake value ratio (SUVR; β [95% confidence interval]: -0.32 [-0.53, -0.11]), and Hispanic (0.65 [0.39, 0.91]) and Black women had greater medial temporal lobe tau SUVR (0.49 [0.30, 0.69]). DISCUSSION: We observed that the distribution of neuroimaging markers of dementia differed across racial/ethnicity groups by sex/gender. An intersectional approach can aid in tailoring research and clinical efforts in preventing and treating dementia. HIGHLIGHTS: Hispanic and Black women had greater medial temporal lobe tau deposition, compared to their non-Hispanic White counterparts. Black men had lower global amyloid deposition compared to non-Hispanic White men. Black men and women had higher burden of cerebral small vessel disease compared to their non-Hispanic White counterparts, with stronger associations in Black men.","journal":"Alzheimer s & Dementia","year":2025,"id":522111,"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":0.8972,"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":879756,"name":"Amber L. Bahorik","orcid":"0000-0001-6333-3599","position":1,"is_corresponding":false},{"id":1061486,"name":"Xiaqing Jiang","orcid":"0000-0003-3633-0688","position":2,"is_corresponding":false},{"id":393509,"name":"Meredith N. Braskie","orcid":"0000-0002-6439-4243","position":3,"is_corresponding":false},{"id":270462,"name":"Sid E. O’Bryant","orcid":"0000-0003-0582-5266","position":4,"is_corresponding":false},{"id":55010,"name":"Kristine Yaffe","orcid":"0000-0003-0919-3825","position":5,"is_corresponding":false},{"id":305263,"name":"Michelle R. Caunca","orcid":"0000-0002-5177-9048","position":0,"is_corresponding":true}],"reference_count":55,"raw_metadata":null,"created_at":"2026-07-19T02:49:49.198144Z","pmid":"40990061","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":[]}