{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T06:00:28Z","timestamp":1790402428012,"version":"4.1.0"},"reference-count":41,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T00:00:00Z","timestamp":1788825600000},"content-version":"vor","delay-in-days":69,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000957","name":"Alzheimer's Association","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000957","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004312","name":"Eli Lilly and Company","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004312","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014392","name":"Avid Radiopharmaceuticals","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015595","name":"GHR Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["alz-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["A&amp;D Transl Res &amp; Clin Interv"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>INTRODUCTION<\/jats:title>\n                    <jats:p>Early detection of cognitive decline in Alzheimer's disease (AD), particularly in preclinical stages, is critical for evaluating therapeutic interventions. Traditional cognitive assessments often require lengthy in\u2010person visits, and may therefore limit scalability for younger, trial\u2010ready populations for primary and secondary prevention studies. We evaluated the feasibility, reliability, and validity of high\u2010frequency remote digital cognitive assessments in individuals with autosomal dominant AD (ADAD).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>One hundred twenty\u2010three mutation carriers and non\u2010carriers from the Dominantly Inherited Alzheimer Network Trials Unit from 20 international sites (Ages 19\u201366 years) completed remote assessments via personal smartphones, prompted four times daily for 7 days (\u2248 3 minutes per session), and conventional in\u2010clinic cognitive testing at baseline. Adherence, between\u2010person reliability, test\u2013retest reliability (intraclass correlation coefficients [ICCs]), construct validity (confirmatory factor analysis), and sensitivity to clinical disease progression were evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Remote measures demonstrated excellent reliability (ICCs &gt; 0.90 after just 10 sessions) and strong construct validity, with tasks loading onto memory, attention, and executive function domains. A composite of the remote tests slightly outperformed a traditional composite at separating mutation carriers from non\u2010carriers. Average adherence to the study protocol was 42%, lower that observed in previous studies of older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>High\u2010frequency remote cognitive assessment is feasible, reliable, and valid in a relatively young international ADAD cohort. This approach offers substantial utility for clinical trials, including improved accessibility and enhanced reliability, supporting its integration into early\u2010intervention studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/trc2.70311","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T06:57:54Z","timestamp":1788937074000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Remote digital cognitive assessment in a trial\u2010ready Alzheimer's disease cohort: A scalable approach for early intervention studies"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4317-7282","authenticated-orcid":false,"given":"Andrew J.","family":"Aschenbrenner","sequence":"first","affiliation":[{"name":"Department of Neurology University of Kansas Medical Center  Kansas City Kansas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannah","family":"Wilks","sequence":"additional","affiliation":[{"name":"Department of Psychological and Brain Sciences Washington University in St. Louis  St. Louis Missouri USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew","family":"Welhaf","sequence":"additional","affiliation":[{"name":"Department of Psychology North Carolina A&amp;T State University  Greensboro North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samhita","family":"Katteri","sequence":"additional","affiliation":[{"name":"Department of Psychological and Brain Sciences Washington University in St. Louis  St. Louis Missouri USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah H.","family":"Stout","sequence":"additional","affiliation":[{"name":"Department of Neurology Washington University in St. Louis  St. Louis Missouri USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin J.","family":"Sliwinski","sequence":"additional","affiliation":[{"name":"Human Development and Family Studies Pennsylvania State University  University Park Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tammie L. 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