Journal Article

DZNE-2026-00994

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Technology-natives and technology-adopters: Age differences in remote cognitive assessment in Alzheimer disease.

Katteri, S. ; Wilks, H. ; Welhaf, M. ; Aschenbrenner, A. J. ; Frank, C. C. ; Vila-Castelar, C. ; Stout, S. ; Sliwinski, M. J. ; Benzinger, T. L. ; Florencia Clarens, M. ; Cruchaga, C. ; Daniels, A. ; Day, G. S. ; Devenney, E. ; Gordon, B. A. ; Huey, E. D. ; Ikeuchi, T. ; Ishiguro, T. ; Ibanez, L. ; Jucker, M.DZNE* ; Karch, C. ; Levin, J.DZNE* ; Perrin, R. ; Renton, A. ; Supnet-Bell, C. ; Weston, P. S. J. ; Xiong, C. ; Libre-Guerra, J. ; McDade, E. M. ; Bateman, R. J. ; Morris, J. C. ; Network, D. I. A. (Collaboration Author) ; Hassenstab, J.

2026
Wiley Hoboken, NJ

This record in other databases:    

Please use a persistent id in citations: doi:10.1002/alz.71872

Abstract: Cognitive 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.Older 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.Older 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.Generational differences have important implications for the design and implementation of smartphone-based cognitive studies.

Keyword(s): Humans (MeSH) ; Alzheimer Disease: diagnosis (MeSH) ; Alzheimer Disease: complications (MeSH) ; Alzheimer Disease: psychology (MeSH) ; Female (MeSH) ; Smartphone (MeSH) ; Aged (MeSH) ; Neuropsychological Tests (MeSH) ; Male (MeSH) ; Reproducibility of Results (MeSH) ; Middle Aged (MeSH) ; Cognition Disorders: diagnosis (MeSH) ; Cognition Disorders: etiology (MeSH) ; Age Factors (MeSH) ; Young Adult (MeSH) ; Aging (MeSH) ; Aged, 80 and over (MeSH) ; Alzheimer disease ; digital remote cognitive assessment ; early detection ; older adults ; technology familiarity ; young adults

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Contributing Institute(s):

1. Cell Biology of Neurological Diseases (AG Jucker)
2. Clinical Research (Munich) (Clinical Research (Munich))
3. Clinical Neurodegeneration (AG Levin)

Research Program(s):

1. 352 - Disease Mechanisms (POF4-352) (POF4-352)
2. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2026

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DEAL Wiley ; Essential Science Indicators ; IF >= 10 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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