Evidence map›Paper›PMID 41456359›Full record

ArticleSleep medicine2026

Remote assessments of sleep and cognition in cognitively normal older adults at risk for Alzheimer disease.

Hannah M Wilks, Matthew S Welhaf, Andrew J Aschenbrenner, Brian D Carpenter, Brian A Gordon, Suzanne E Schindler, Brendan P Lucey, John C Morris, Jason Hassenstab

Abstract read
In one paragraph

Article in Sleep medicine, 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

9 authors.

Hannah M WilksDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Matthew S WelhafDepartment of Psychology, North Carolina A&T State University, Greensboro, NC, USA.
Andrew J AschenbrennerDepartment of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Brian D CarpenterDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Brian A GordonDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA; Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Suzanne E SchindlerDepartment of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Brendan P LuceyDepartment of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
John C MorrisDepartment of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Jason HassenstabDepartment of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA; Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA. Electronic address: hassenstabj@wustl.edu.

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 Susan Lynn Stark · 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
NIA 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

STUDY

objectivesSleep is a marker of brain function that could potentially identify patients for early intervention by detecting cognitive change during the early asymptomatic stages of Alzheimer disease (AD). We examined the relationship between sleep and cognition in cognitively unimpaired older adults and evaluated whether the relationship was altered by AD risk factors.

methodsCognitively unimpaired older adults (N = 319, age 54-97 years) were administered a sleep diary (1x/day) and brief cognitive assessments (4x/day) for seven consecutive days via a smartphone application. We evaluated if a previous night's sleep predicts next-day cognition and if sleep averaged over a week predicts cognitive performance averaged over a week. Additional analyses included the effects of carrying an apolipoprotein (APOE) ε4 allele and cerebrospinal fluid biomarkers of AD pathology.

resultsAt the between-person level, no associations were observed between sleep and cognition. Within-person analyses revealed that deviations (both higher and lower scores) from an individual's usual sleep pattern were associated poorer next day cognitive performance. Carriage of the APOE ε4 allele and AD biomarkers did not interact with sleep-cognition relationships.

conclusionsRemote, multi-day assessments of cognition and sleep revealed subtle non-linear associations between nightly sleep and next-day cognition in cognitively unimpaired older adults. Furthermore, the individualized nature of sleep-cognition relationships underscores the importance of maintaining consistent person-centered sleep health metrics to support cognitive function. Capturing latent AD-related changes in sleep and cognition among asymptomatic older adults may require repeated assessments across extended timeframes.

Indexed as

Alzheimer DiseaseCognitionSleepAgedAged, 80 and overApolipoprotein E4BiomarkersFemaleHumansMaleMiddle AgedNeuropsychological TestsRisk FactorsApolipoprotein E4BiomarkersAD biomarkersAlzheimer's diseaseAPOEEcological momentary assessmentsOlder adultsRepeated measures designSleep

Identifiers

PMID41456359
PMCPMC13151976

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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.