{"doi":"10.14283/jpad.2024.99","title":"Continuous Associations between Remote Self-Administered Cognitive Measures and Imaging Biomarkers of Alzheimer's Disease","abstract":"BACKGROUND: Easily accessible and self-administered cognitive assessments that can aid early detection for Alzheimer's disease (AD) dementia risk are critical for timely intervention. OBJECTIVES/DESIGN: This cross-sectional study investigated continuous associations between Mayo Test Drive (MTD) - a remote, self-administered, multi-device compatible, web-based cognitive assessment - and AD-related imaging biomarkers. PARTICIPANTS/SETTING: 684 adults from the Mayo Clinic Study of Aging and Mayo Clinic Alzheimer's Disease Research Center participated (age=70.4±11.2, 49.7% female). Participants were predominantly cognitively unimpaired (CU; 94.0%). MEASUREMENTS: Participants completed (1) brain amyloid and tau PET scans and MRI scans for hippocampal volume (HV) and white matter hyperintensities (WMH); (2) MTD remotely, consisting of the Stricker Learning Span and Symbols Test which combine into an MTD composite; and (3) in-person neuropsychological assessment including measures to obtain Mayo Preclinical Alzheimer's disease Cognitive Composite (Mayo-PACC) and Global-z. Multiple regressions adjusted for age, sex, and education queried associations between imaging biomarkers and scores from remote and in-person cognitive measures. RESULTS: Lower performances on MTD were associated with greater amyloid, entorhinal tau, and global tau PET burden, lower HV, and higher WMH. Mayo-PACC and Global-z were associated with all imaging biomarkers except global tau PET burden. MCI/Dementia participants showed lower performance on all MTD measures compared to CU with large effect sizes (Hedge's g's=1.65-2.02), with similar findings for CU versus MCI only (Hedge's g's=1.46-1.83). CONCLUSION: MTD is associated with continuous measures of AD-related imaging biomarkers, demonstrating ability to detect subtle cognitive change using a brief, remote assessment in predominantly CU individuals and criterion validity for MTD.","journal":"The Journal of Prevention of Alzheimer s Disease","year":2024,"id":431118,"datarank":0.5722158425648765,"base_score":2.8903717578961645,"endowment":2.8903717578961645,"self_citation_contribution":0.4335557636844247,"citation_network_contribution":0.1386600788804517,"self_endowment_contribution":0.4335557636844247,"citer_contribution":0.1386600788804517,"corpus_percentile":null,"corpus_rank":null,"citation_count":17,"citer_count":8,"citers_with_citation_signal":7,"citers_with_endowment":7,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9544,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":292107,"name":"Ryan D. Frank","orcid":"0000-0002-5561-0637","position":1,"is_corresponding":false},{"id":1010584,"name":"Winnie Z. Fan","orcid":"0009-0000-7193-4132","position":2,"is_corresponding":false},{"id":462439,"name":"Teresa J. Christianson","orcid":null,"position":3,"is_corresponding":false},{"id":253903,"name":"Walter K. Kremers","orcid":"0000-0001-5714-3473","position":4,"is_corresponding":false},{"id":921071,"name":"John L. Stricker","orcid":null,"position":5,"is_corresponding":false},{"id":259156,"name":"Mary M. Machulda","orcid":"0000-0003-4834-5967","position":6,"is_corresponding":false},{"id":253904,"name":"Julie A. Fields","orcid":"0000-0002-1282-9866","position":7,"is_corresponding":false},{"id":226993,"name":"Jason Hassenstab","orcid":"0000-0002-7802-3371","position":8,"is_corresponding":false},{"id":1235412,"name":"J. Graff-Radford","orcid":null,"position":9,"is_corresponding":false},{"id":226058,"name":"Prashanthi Vemuri","orcid":"0000-0003-4286-0589","position":10,"is_corresponding":false},{"id":49956,"name":"Clifford R. Jack","orcid":"0000-0001-7916-622X","position":11,"is_corresponding":false},{"id":49955,"name":"David S. Knopman","orcid":"0000-0002-6544-066X","position":12,"is_corresponding":false},{"id":1235413,"name":"R. C. Petersen","orcid":null,"position":13,"is_corresponding":false},{"id":651188,"name":"Nikki H. Stricker","orcid":"0000-0001-9034-1252","position":14,"is_corresponding":false},{"id":333872,"name":"Elizabeth A. Boots","orcid":"0000-0002-4721-3703","position":0,"is_corresponding":true}],"reference_count":60,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:59:25.642507Z","pmid":"39350394","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":[]}