Evidence map›Paper›PMID 41718135›Full record

ArticleMedical sciences (Basel, Switzerland)2026

Polygenic Index for Sleep Duration and Brain Changes over Time.

Tsapanou Angeliki, Chapman Silvia, Lee Seonjoo, Habeck Christian, Gu Yian, Stern Yaakov

Abstract read
In one paragraph

Article in Medical sciences (Basel, Switzerland), 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

6 authors.

Tsapanou AngelikiCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-0471-5786
Chapman SilviaCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-4508-4557
Lee SeonjooCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-3177-6357
Habeck ChristianCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY 10032, USA.ORCID 0000-0001-9961-7446
Gu YianCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-4297-1548
Stern YaakovCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY 10032, USA.ORCID 0000-0001-7542-3241

Funding

Imaging of Cognition, Learning and Memory in AgingR01AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2004 to 2021
$10.9M
Exploring Cognitive Aging Using Refernce Ability Neural NetworksRF1AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2016 to 2018
$7.6M
NIA NIH HHS k99 AG071930NIA NIH HHS R01 AG026158NIA NIH HHS RF1 AG038465
6 · The paper itself

Abstract

backgroundSleep is a complex physiological process, crucial for cognitive functioning, emotional regulation, and overall health. Recent advances in genomics and neuroimaging have illuminated the intricate relationship between genetics, sleep architecture, and brain changes. This study investigated the association between sleep duration genetics, through a Sleep Duration Polygenic Index (Sleep PGI), and brain changes (total cortical thickness, white matter volume, gray matter volume, white matter hyperintensities volume) in cognitively healthy adults aged 20-80 years old.

methodsUsing longitudinal data from the Reference Ability Neural Network (RANN) and Cognitive Reserve (CR) studies, we examined the impact of Sleep PGI on brain measures (total cortical thickness, gray matter volume, white matter volume, WMH volume) over time. Generalized Estimated Equations were used for the statistical analysis. Analysis was performed in the total sample (

resultsAcross age, higher Sleep PGI was associated with higher temporal WMH volumes over time. In models considering an interaction of age between Sleep PGI and time in study, age emerged as a significant moderator for outcomes of hippocampal volume, cortical white matter volume, and WMH volume (total, parietal) as outcomes.

conclusionsSleep duration polygenic score was associated with changes in the brain in cognitively healthy adults. Genetic predisposition for longer sleep duration was associated with more favorable longitudinal trajectories against brain decline, a result mostly driven by younger adults. These findings underscore the importance of maintaining optimal sleep duration and the potential for personalized interventions to improve sleep and brain health.

Indexed as

BrainMultifactorial InheritanceSleepSleep DurationAdultAgedAged, 80 and overFemaleGenetic Risk ScoreGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedWhite Matterbrain morphometrypolygenic indexsleep

Identifiers

PMID41718135
PMCPMC12921902

What Socratic holds

Textmetadata
LicenceCC BY
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.