Evidence map›Paper›PMID 37079810›Full record

ArticleNeuropsychology2024

Relationships between hourly cognitive variability and risk of Alzheimer's disease revealed with mixed-effects location scale models.

Andrew J Aschenbrenner, Jason Hassenstab, John C Morris, Carlos Cruchaga, Joshua J Jackson

Open access · hybridAbstract read
In one paragraph

Article in Neuropsychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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
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  8. Neighborhood bonding and bridging social capital, social activity participation, and short-term cognitive variability in later life.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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  12. Observational
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  18. Review
  19. High-frequency assessment of mood, personality, and cognition in healthy younger, healthy older and adults with cognitive impairment.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2024
    Article
  20. Article
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

5 authors at 1 institution in 1 country.

Andrew J AschenbrennerDepartment of Neurology, School of Medicine, Washington University in St. Louis.ORCID 0000-0002-4317-7282
Jason HassenstabDepartment of Neurology, School of Medicine, Washington University in St. Louis.
John C MorrisDepartment of Neurology, School of Medicine, Washington University in St. Louis.ORCID 0000-0001-9820-5618
Carlos CruchagaDepartment of Psychiatry, School of Medicine, Washington University in St. Louis.
Joshua J JacksonDepartment of Psychological and Brain Sciences, Washington University in St. Louis.
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
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
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 U2C AG060408
6 · The paper itself

Abstract

objectiveObservational studies on aging and Alzheimer's disease (AD) typically focus on mean-level changes in cognitive performance over relatively long periods of time (years or decades). Additionally, some studies have examined how trial-level fluctuations in speeded reaction time are related to both age and AD. The aim of the current project was to describe patterns of variability across repeated days of testing as a function of AD risk in cognitively normal older adults.

methodThe current project examined the performance of the Ambulatory Research in Cognition (ARC) smartphone application, a high-frequency remote cognitive assessment paradigm, that administers brief tests of episodic memory, spatial working memory, and processing speed. Bayesian mixed-effects location scale models were used to explore differences in mean cognitive performance and intraindividual variability across 28 repeated sessions over a 1-week assessment interval as function of age and genetic risk of AD, specifically the presence of at least one apolipoprotein E (APOE) ε4 allele.

resultsMean performance on processing speed and working memory was negatively related to age and APOE status. More importantly, e4 carriers exhibited increased session-level variability on a test of processing speed compared to noncarriers. Age and education did not consistently relate to cognitive variability, contrary to expectations.

conclusionPreclinical AD risk, defined as possessing at least one APOE ε4 allele, is not only associated with mean-level performance differences, but also with increases in variability across repeated testing occasions particularly on a test of processing speed. Thus, cognitive variability may serve as an additional and important indicator of AD risk. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Indexed as

Alzheimer DiseaseAgedApolipoprotein E4Apolipoproteins EBayes TheoremCognitionGenotypeHumansNeuropsychological TestsApolipoprotein E4Apolipoproteins E

Identifiers

PMID37079810
PMCPMC10587364
OpenAlexW4366503161

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.