Evidence map›Paper›PMID 36062528›Full record

ArticleJournal of the International Neuropsychological Society : JINS2023

Unsupervised high-frequency smartphone-based cognitive assessments are reliable, valid, and feasible in older adults at risk for Alzheimer's disease.

Jessica Nicosia, Andrew J Aschenbrenner, David A Balota, Martin J Sliwinski, Marisol Tahan, Sarah Adams, Sarah S Stout, Hannah Wilks, Brian A Gordon, Tammie L S Benzinger and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
13.1field-weighted citation impact, top 1% of its field
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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Technology-natives and technology-adopters: Age differences in remote cognitive assessment in Alzheimer disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Visual Working Memory in Older Adults With and Without Early-Onset Depression: An Ecological Momentary Assessment Study.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
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22 more citing papers are in PubMed but not listed here.

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

15 authors at 2 institutions in 1 country.

Jessica NicosiaCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Andrew J AschenbrennerCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-4317-7282
David A BalotaDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Martin J SliwinskiDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
Marisol TahanCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Sarah AdamsCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Sarah S StoutCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Hannah WilksCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Brian A GordonDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Tammie L S BenzingerDepartment of Radiology, Washington University, School of Medicine, St. Louis, MO, USA.
Anne M FaganCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Chengjie XiongCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Randall J BatemanCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
John C MorrisCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.
Jason HassenstabCharles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-7802-3371
Washington University in St. Louis · USPennsylvania State University · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
Ambulatory Methods for Measuring Cognitive ChangeU2CAG060408 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI SLIWINSKI, MARTIN J · 2018 to 2022
$14.9M
OPTIMIZING COGNITIVE ASSESSMENT IN DIAN WITH SMARTPHONE-BASED BURST TESTING - Administrative SupplementR01AG057840 · NIA · WASHINGTON UNIVERSITY · PI HASSENSTAB, JASON J · 2018 to 2022
$4.2M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG057840NIA NIH HHS U19 AG032438NIA NIH HHS U2C AG060408
6 · The paper itself

Abstract

objectiveSmartphones have the potential for capturing subtle changes in cognition that characterize preclinical Alzheimer's disease (AD) in older adults. The Ambulatory Research in Cognition (ARC) smartphone application is based on principles from ecological momentary assessment (EMA) and administers brief tests of associative memory, processing speed, and working memory up to 4 times per day over 7 consecutive days. ARC was designed to be administered unsupervised using participants' personal devices in their everyday environments.

methodsWe evaluated the reliability and validity of ARC in a sample of 268 cognitively normal older adults (ages 65-97 years) and 22 individuals with very mild dementia (ages 61-88 years). Participants completed at least one 7-day cycle of ARC testing and conventional cognitive assessments; most also completed cerebrospinal fluid, amyloid and tau positron emission tomography, and structural magnetic resonance imaging studies.

resultsFirst, ARC tasks were reliable as between-person reliability across the 7-day cycle and test-retest reliabilities at 6-month and 1-year follow-ups all exceeded 0.85. Second, ARC demonstrated construct validity as evidenced by correlations with conventional cognitive measures (

conclusionsOverall, the results suggest that ARC is reliable and valid and represents a feasible tool for assessing cognitive changes associated with the earliest stages of AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAmyloid beta-PeptidesBiomarkersCognitionHumansPositron-Emission TomographyReproducibility of ResultsSmartphonetau ProteinsAmyloid beta-PeptidesBiomarkerstau Proteinsdigital biomarkersecological momentary assessmentmobile testingpreclinical Alzheimer’s disease

Identifiers

PMID36062528
PMCPMC9985662
OpenAlexW4294592241

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.