{"doi":"10.1002/dad2.12500","title":"Remote and in‐clinic digital cognitive screening tools outperform the MoCA to distinguish cerebral amyloid status among cognitively healthy older adults","abstract":"<jats:title>Abstract</jats:title><jats:sec><jats:title>INTRODUCTION</jats:title><jats:p>We evaluated the accuracy of remote and in‐person digital tests to distinguish between older adults with and without AD pathological change and used the Montreal Cognitive Assessment (MoCA) as a comparison test.</jats:p></jats:sec><jats:sec><jats:title>METHODS</jats:title><jats:p>Participants were 69 cognitively normal older adults with known beta‐amyloid (Aβ) PET status. Participants completed smartphone‐based assessments 3×/day for 8 days, followed by TabCAT tasks, DCTclock™, and MoCA at an in‐person study visit. We calculated the area under the curve (AUC) to compare task accuracies to distinguish Aβ status.</jats:p></jats:sec><jats:sec><jats:title>RESULTS</jats:title><jats:p>Average performance on the episodic memory (Prices) smartphone task showed the highest accuracy (AUC = 0.77) to distinguish Aβ status. On in‐person measures, accuracy to distinguish Aβ status was greatest for the TabCAT Favorites task (AUC = 0.76), relative to the DCTclock<jats:sup>TM</jats:sup> (AUC = 0.73) and MoCA (AUC = 0.74).</jats:p></jats:sec><jats:sec><jats:title>DISCUSSION</jats:title><jats:p>Although further validation is needed, our results suggest that several digital assessments may be suitable for more widespread cognitive screening application.</jats:p></jats:sec>","journal":"Alzheimer's &amp; Dementia: Diagnosis, Assessment &amp; Disease Monitoring","year":2023,"id":617765,"datarank":1.1978917455792746,"base_score":3.6635616461296463,"endowment":3.6635616461296463,"self_citation_contribution":0.5495342469194471,"citation_network_contribution":0.6483574986598274,"self_endowment_contribution":0.5495342469194471,"citer_contribution":0.6483574986598274,"corpus_percentile":null,"corpus_rank":null,"citation_count":38,"citer_count":32,"citers_with_citation_signal":25,"citers_with_endowment":25,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":505958,"name":"Zachary J. 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Sliwinski","orcid":"0000-0002-9611-7558","position":10,"is_corresponding":false},{"id":430526,"name":"Stephen Correia","orcid":"0000-0003-3416-3660","position":11,"is_corresponding":false},{"id":282467,"name":"Richard N. Jones","orcid":"0000-0002-1049-218X","position":12,"is_corresponding":false},{"id":661782,"name":"Louisa I. 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We calculated the area under the curve (AUC) to compare task accuracies to distinguish Aβ status.</jats:p></jats:sec><jats:sec><jats:title>RESULTS</jats:title><jats:p>Average performance on the episodic memory (Prices) smartphone task showed the highest accuracy (AUC = 0.77) to distinguish Aβ status. On in‐person measures, accuracy to distinguish Aβ status was greatest for the TabCAT Favorites task (AUC = 0.76), relative to the DCTclock<jats:sup>TM</jats:sup> (AUC = 0.73) and MoCA (AUC = 0.74).</jats:p></jats:sec><jats:sec><jats:title>DISCUSSION</jats:title><jats:p>Although further validation is needed, our results suggest that several digital assessments may be suitable for more widespread cognitive screening application.</jats:p></jats:sec>","is_dataset_classified":null,"base_score":3.6635616461296463,"endowment":3.6635616461296463,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"38026761","pmcid":"PMC10680059","openalex_id":"https://openalex.org/W4389037728","authors":[],"funders":[{"funder_name":"Alzheimer's Association","grant_id":"AACSF‐20‐685786","title":null},{"funder_name":"NIA NIH HHS","grant_id":"T32 AG049676","title":null},{"funder_name":"NIA NIH HHS","grant_id":"U2C AG060408","title":null},{"funder_name":"National Institutes of Health","grant_id":"5T32AG049676-09","title":"Psychosocial Determinants and Biological Pathways to Healthy Aging (Pathways)"}],"total_grants":4,"fwci":6.8123,"citation_percentile":0.98048505,"influential_citations":0,"citation_trend":[{"year":2023,"count":1},{"year":2024,"count":14},{"year":2025,"count":19},{"year":2026,"count":4}],"oa_status":"gold","license":"cc-by-nc-nd","oa_locations":[{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/dad2.12500","host_type":"journal"},{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/dad2.12500","host_type":"publisher"},{"url":"https://alz-journals.onlinelibrary.wiley.com/doi/pdf/10.1002/dad2.12500","host_type":"publisher"},{"url":"https://doi.org/10.1002/dad2.12500","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/38026761","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10680059","host_type":"repository"},{"url":"https://doaj.org/article/726431b5ad9c479b8c0ff1c9dc89ce2d","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10680059/pdf/DAD2-15-e12500.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC10680059","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC10680059?pdf=render","host_type":"Europe_PMC"},{"url":"https://doi.org/10.1002/alz.082110","host_type":""},{"url":"https://doi.org/10.1002/alz.075327","host_type":""},{"url":"http://dx.doi.org/10.1002/dad2.12500","host_type":""}],"fields_of_study":["Dementia and Cognitive Impairment Research","Alzheimer's disease research and treatments","Intensive Care Unit Cognitive Disorders"],"mesh_terms":[],"keywords":["Montreal Cognitive Assessment","Cognition","Task (project management)","Cognitive impairment","Pathological","Area under the curve","Medicine","Audiology","Psychology","Gerontology","Internal medicine","Psychiatry","Early diagnosis","Cognitive Screening","Digital Technology","Preclinical Alzheimer's Disease","Geriatrics","RC952-954.6","Neurology. 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