Evidence map›Paper›PMID 38282413›Full record

ArticleJournal of the International Neuropsychological Society : JINS2024

Naturalistic assessment of reaction time variability in older adults at risk for Alzheimer's disease.

Matthew S Welhaf, Hannah Wilks, Andrew J Aschenbrenner, David A Balota, Suzanne E Schindler, Tammie L S Benzinger, Brian A Gordon, Carlos Cruchaga, Chengjie Xiong, John C Morris and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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
  3. Article
  4. Shaping the scientific agenda: Defining and operationalizing brain health in aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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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

11 authors at 1 institution in 1 country.

Matthew S WelhafDepartment of Psychological & Brain Sciences, Washington University in St. Louis. St. Louis, MO, USA.ORCID 0000-0002-2826-5268
Hannah WilksDepartment of Psychological & Brain Sciences, Washington University in St. Louis. St. Louis, MO, USA.
Andrew J AschenbrennerDepartment of Neurology. Charles F. and Joanne Knight Alzheimer Disease Research Center, 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.
Suzanne E SchindlerDepartment of Neurology. Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Tammie L S BenzingerDepartment of Radiology, 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.
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Chengjie XiongDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
John C MorrisDepartment of Neurology. Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Jason HassenstabDepartment of Psychological & Brain Sciences, Washington University in St. Louis. St. Louis, MO, USA.ORCID 0000-0002-7802-3371
Washington University in St. Louis · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
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
AGING AND DEVELOPMENTT32AG000030 · NIA · WASHINGTON UNIVERSITY · PI DENISE HEAD, Jeffrey M Zacks · 1985 to 2026
$9.7M
OPTIMIZING COGNITIVE ASSESSMENT IN DIAN WITH SMARTPHONE-BASED BURST TESTING - Administrative SupplementR01AG057840 · NIA · WASHINGTON UNIVERSITY · PI HASSENSTAB, JASON J · 2018 to 2022
$4.2M
Within-person dynamics of cognition and personality in healthy aging and Alzheimer's disease.K01AG071847 · NIA · WASHINGTON UNIVERSITY · PI ASCHENBRENNER, ANDREW · 2021 to 2025
$526k
NIA NIH HHS K01 AG071847NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG057840NIA NIH HHS T32 AG000030
6 · The paper itself

Abstract

objectiveMaintaining attention underlies many aspects of cognition and becomes compromised early in neurodegenerative diseases like Alzheimer's disease (AD). The consistency of maintaining attention can be measured with reaction time (RT) variability. Previous work has focused on measuring such fluctuations during in-clinic testing, but recent developments in remote, smartphone-based cognitive assessments can allow one to test if these fluctuations in attention are evident in naturalistic settings and if they are sensitive to traditional clinical and cognitive markers of AD.

methodThree hundred and seventy older adults (aged 75.8 +/- 5.8 years) completed a week of remote daily testing on the Ambulatory Research in Cognition (ARC) smartphone platform and also completed clinical, genetic, and conventional in-clinic cognitive assessments. RT variability was assessed in a brief (20-40 seconds) processing speed task using two different measures of variability, the Coefficient of Variation (CoV) and the Root Mean Squared Successive Difference (RMSSD) of RTs on correct trials.

resultsSymptomatic participants showed greater variability compared to cognitively normal participants. When restricted to cognitively normal participants, APOE ε4 carriers exhibited greater variability than noncarriers. Both CoV and RMSSD showed significant, and similar, correlations with several in-clinic cognitive composites. Finally, both RT variability measures significantly mediated the relationship between APOE ε4 status and several in-clinic cognition composites.

conclusionsAttentional fluctuations over 20-40 seconds assessed in daily life, are sensitive to clinical status and genetic risk for AD. RT variability appears to be an important predictor of cognitive deficits during the preclinical disease stage.

Indexed as

Alzheimer DiseaseReaction TimeAgedAged, 80 and overApolipoprotein E4AttentionFemaleHumansMaleNeuropsychological TestsSmartphoneApolipoprotein E4apolipoprotein e4attention consistencydigital biomarkersmobile testingpreclinical alzheimer disease

Identifiers

PMID38282413
PMCPMC11078617
OpenAlexW4391298135

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.