Evidence map›Paper›PMID 42781715›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Technology-natives and technology-adopters: Age differences in remote cognitive assessment in Alzheimer disease.

Samhita Katteri, Hannah Wilks, Matthew Welhaf, Andrew J Aschenbrenner, Colleen C Frank, Clara Vila-Castelar, Sarah Stout, Martin J Sliwinski, Tammie Ls Benzinger, Ma Florencia Clarens and 23 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Samhita KatteriDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Hannah WilksDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Matthew WelhafDepartment of Psychology, North Carolina A&T State University, Greensboro, North Carolina, USA.
Andrew J AschenbrennerDepartment of Neurology, University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, Missouri, USA.
Colleen C FrankCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Clara Vila-CastelarCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Sarah StoutCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Martin J SliwinskiDepartment of Human Development and Family Studies, Pennsylvania State University, State College, Pennsylvania, USA.
Tammie Ls BenzingerDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Ma Florencia ClarensDepartment of Cognitive Neurology, Instituto Neurológico Fleni, Buenos Aires, Argentina.
Carlos CruchagaDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Alisha DanielsCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Gregory S DayDepartment of Neurology, Mayo Clinic, Jacksonville, Florida, USA.
Emma DevenneyNeuroscience Research Australia, Sydney, Australia.
Brian A GordonDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Edward D HueyDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Takeshi IkeuchiBrain Research Institute, Niigata University, Niigata, Japan.
Takanobu IshiguroBrain Research Institute, Niigata University, Niigata, Japan.
Laura IbanezDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
Mathias JuckerGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Celeste KarchDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
Johannes LevinDepartment of Neurology, Ludwig-Maximilians Universität München, Munich, Germany.
Richard PerrinDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Alan RentonDepartment of Neurology, Mayo Clinic, Jacksonville, Florida, USA.
Charlene Supnet-BellDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Philip S J WestonDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Chengjie XiongDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Jorge Libre-GuerraCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Eric M McDadeCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Randall J BatemanCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
John C MorrisCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Dominantly Inherited Alzheimer Network
Jason HassenstabDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.

Funding

Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
AGING AND DEVELOPMENTT32AG000030 · NIA · WASHINGTON UNIVERSITY · PI DENISE HEAD, Jeffrey M Zacks · 1985 to 2026
$9.7M
Imaging CoreU01AG032438 · NIA · WASHINGTON UNIVERSITY · PI XIONG, CHENGJIE · 2008 to 2009
$6.1M
Alzheimer's Association SG-20-690363-DIANGerman Center for Neurodegenerative DiseasesJapan Agency for Medical Research and Development 25dk0207066Ministry of Health & Welfare and Ministry of Science and ICT, Republic of Korea RS-2024-00344521NIA NIH HHS P01AG00399140NIA NIH HHS P01AG02627620NIA NIH HHS P30AG06644406NIA NIH HHS R01AG032438NIA NIH HHS T32 AG000030NIA NIH HHS T32AG000030-47NIA NIH HHS U01 AG032438NIA NIH HHS U19 AG032438Norman J. Stupp EndowmentPaula C. & Rodger O. Riney Alzheimer's Disease FundRaul Carrea Institute for Neurological Research (FLENI)Spanish Institute of Health Carlos III (ISCIII)The Dominantly Inherited Alzheimer Network 3U19AG032438-12S2The Dominantly Inherited Alzheimer Network U19AG032438
6 · The paper itself

Abstract

introductionCognitive changes in the asymptomatic stages of Alzheimer disease (AD) are subtle and difficult to detect using conventional cognitive tests. High-frequency smartphone-based testing may improve sensitivity to these changes, but generational differences in technology use could influence performance. We examined generational differences in cognition using remote, high-frequency smartphone assessments.

methodsOlder adults (N = 444) from the Knight Alzheimer Disease Research Center and young and middle-aged adults (N = 113) from the Dominantly Inherited Alzheimer Network (DIAN) completed an in-clinic cognitive battery and brief smartphone tests up to four times daily for 7 days. We compared adherence, reliability, practice effects, and correlations with in-clinic measures.

resultsOlder adults showed higher adherence than younger participants (78% vs 59%). Younger adults achieved higher reliability with fewer sessions and exhibited much smaller practice effects. Smartphone to in-clinic test correlations were strong in both young-to-middle-aged and older adults. DISCUSSION: Generational differences have important implications for the design and implementation of smartphone-based cognitive studies.

Indexed as

AgingAlzheimer DiseaseCognition DisordersNeuropsychological TestsSmartphoneAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedReproducibility of ResultsYoung AdultAlzheimer diseasedigital remote cognitive assessmentearly detectionolder adultstechnology familiarityyoung adults

Identifiers

PMID42781715
PMCPMC13602171

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.