{"doi":"10.1159/000518102","title":"Using Fractional Anisotropy Imaging to Detect Mild Cognitive Impairment and Alzheimer’s Disease among Mexican Americans and Non-Hispanic Whites: A HABLE Study","abstract":"INTRODUCTION: Alzheimer's disease (AD) is the most frequently occurring neurodegenerative disease; however, little work has been conducted examining biomarkers of AD among Mexican Americans. Here, we examined diffusion tensor MRI marker profiles for detecting mild cognitive impairment (MCI) and dementia in a multi-ethnic cohort. METHODS: 3T MRI measures of fractional anisotropy (FA) were examined among 1,636 participants of the ongoing community-based Health &amp; Aging Brain among Latino Elders (HABLE) community-based study (Mexican American n = 851; non-Hispanic white n = 785). RESULTS: The FA profile was highly accurate in detecting both MCI (area under the receiver operating characteristic curve [AUC] = 0.99) and dementia (AUC = 0.98). However, the FA profile varied significantly not only between diagnostic groups but also between Mexican Americans and non-Hispanic whites. CONCLUSION: Findings suggest that diffusion tensor imaging markers may have a role in the neurodiagnostic process for detecting MCI and dementia among diverse populations.","journal":"Dementia and Geriatric Cognitive Disorders","year":2021,"id":187465,"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":18,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9438,"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":414357,"name":"Leigh Johnson","orcid":"0000-0001-7769-8417","position":1,"is_corresponding":false},{"id":273468,"name":"Fan Zhang","orcid":"0000-0002-5032-6039","position":2,"is_corresponding":false},{"id":632832,"name":"Melissa Petersen","orcid":"0000-0002-3920-5877","position":3,"is_corresponding":false},{"id":253937,"name":"Arthur W. Toga","orcid":"0000-0003-1454-8643","position":4,"is_corresponding":false},{"id":328019,"name":"Yonggang Shi","orcid":"0000-0002-3466-4302","position":5,"is_corresponding":false},{"id":633745,"name":"David Mason","orcid":null,"position":6,"is_corresponding":false},{"id":230262,"name":"Robert A. Rissman","orcid":"0000-0001-9245-8278","position":7,"is_corresponding":false},{"id":55010,"name":"Kristine Yaffe","orcid":"0000-0003-0919-3825","position":8,"is_corresponding":false},{"id":270462,"name":"Sid E. O’Bryant","orcid":"0000-0003-0582-5266","position":9,"is_corresponding":false},{"id":747631,"name":"for the HABLE Study","orcid":null,"position":10,"is_corresponding":false},{"id":326972,"name":"James Hall","orcid":"0000-0002-8153-1537","position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":null,"created_at":"2026-07-18T23:48:55.420619Z","pmid":"34569492","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":[]}