Evidence map›Paper›PMID 42417271›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Association of sleep duration with Alzheimer's disease and cognition.

Filippos Anagnostakis, Cliodhna Kate O'Toole, Guray Erus, Dhivya Srinivasan, Yuhan Cui, Michail Kokkorakis, Xin Ma, Christiane Reitz, Adam M Brickman, Despina Kontos and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 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

20 authors.

Filippos AnagnostakisArtificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7374-8798
Cliodhna Kate O'TooleLaboratory of AI and Biomedical Science (LABS), Columbia University, New York, New York, USA.
Guray ErusArtificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Dhivya SrinivasanArtificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Yuhan CuiArtificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Michail KokkorakisDepartment of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA.
Xin MaDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.
Christiane ReitzTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA.
Adam M BrickmanTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA.
Despina KontosDepartment of Radiology, Columbia University, New York, New York, USA.
Ajay GuptaDepartment of Radiology, Columbia University, New York, New York, USA.
Sam PayabvashDepartment of Radiology, Columbia University, New York, New York, USA.
Elisa E KonofagouDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Grace McIlvainDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Feixiong ChengCleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Matthew R BaldwinDivision of Pulmonary, Allergy, and Critical Care Medicine, Columbia University, New York, New York, USA.
Haochang ShouArtificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Christos DavatzikosArtificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Susan ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Junhao WenLaboratory of AI and Biomedical Science (LABS), Columbia University, New York, New York, USA.

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortiumRF1AG054409 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2023
$6.3M
The Neuroimaging Brain Chart Software SuiteU24NS130411 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos, Yong Fan · 2023 to 2026
$3.7M
Multi-Organ Chart of Personalized Susceptibility to Alzheimer's Disease and AgingRF1AG092412 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WEN, JUNHAO · 2025 to 2025
$3.5M
NIA NIH HHS P30 AG066507NIH HHS RF1AG054409NIH HHS RF1AG092412NIH HHS U24NS130411
6 · The paper itself

Abstract

introductionThe association of sleep duration with Alzheimer's disease (AD) - related brain atrophy and cognition remains unclear.

methodsAmong 38,816 participants in the UK Biobank, we examined the association between sleep duration and a validated machine-learning-derived magnetic resonance imaging (MRI) signature of AD-related atrophy (Spatial Pattern of Abnormality for Recognition of Early AD [SPARE-AD]) and three cognitive test scores using generalized additive models. Independently, electronic health records (EHR) from TriNetX were used to examine the 10-year AD risk associated with insomnia and hypersomnia.

resultsSleep duration exhibited a U-shaped association with SPARE-AD (p = 0.001), Trail Making Tests A and B, and the Digit Symbol Substitution Test (all p < 0.001). Short (5-6 hours) and long (9-10 hours) sleep duration were associated with poorer cognitive performance. Both insomnia and hypersomnia showed a high risk for Alzheimer's disease.

conclusionThis study demonstrates a U-shaped association between sleep duration and AD-like atrophy and cognition. DISCUSSION: These findings show that excessive or insufficient sleep is linked to worse brain health.

Indexed as

Alzheimer DiseaseCognitionSleep DurationAgedAtrophyBrainFemaleHumansMagnetic Resonance ImagingMaleNeuropsychological TestsSleep Initiation and Maintenance DisordersUnited KingdomAlzheimer'sbrain atrophycognitionepidemiologysleep duration

Identifiers

PMID42417271
PMCPMC13343368

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.