Evidence map›Paper›PMID 39708426›Full record

ArticleEBioMedicine2025

Hypothalamic volume is associated with age, sex and cognitive function across lifespan: a comparative analysis of two large population-based cohort studies.

Peng Xu, Santiago Estrada, Rika Etteldorf, Dan Liu, Mohammad Shahid, Weiyi Zeng, Deborah Früh, Martin Reuter, Monique M B Breteler, N Ahmad Aziz

Abstract readComparative Study
In one paragraph

Article in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Peng XuPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Santiago EstradaPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Artificial Intelligence in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Rika EtteldorfPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Dan LiuPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Mohammad ShahidPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Weiyi ZengPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Deborah FrühPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Martin ReuterArtificial Intelligence in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
Monique M B BretelerPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Germany.
N Ahmad AzizPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, Faculty of Medicine, University of Bonn, Germany. Electronic address: Ahmad.Aziz@dzne.de.

Funding

Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
Deep Learning Algorithms for FreeSurferR01AG064027 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2020 to 2024
$3.4M
Novel Bioinformatics Strategies to Study Associations Between Genetic Variants and Neuroanatomical ShapeR01LM012719 · NLM · CORNELL UNIVERSITY · PI SABUNCU, MERT RORY · 2017 to 2020
$1.4M
Imaging the neurodevelopmental trajectory of depression and anxiety disorders with HCP protocolsR56MH121426 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI WHITFIELD-GABRIELI, SUSAN, YENDIKI, ANASTASIA · 2020 to 2020
$1.2M
NIA NIH HHS R01 AG064027NIBIB NIH HHS P41 EB030006NIMH NIH HHS R56 MH121426NLM NIH HHS R01 LM012719
6 · The paper itself

Abstract

backgroundEmerging findings indicate that the hypothalamus, the body's principal homeostatic centre, plays a crucial role in modulating cognition, but comprehensive population-based studies are lacking.

methodsWe used cross-sectional data from the Rhineland Study (N = 5812, 55.2 ± 13.6 years, 58% women) and the UK Biobank Imaging Study (UKB) (N = 45,076, 64.2 ± 7.7 years, 53% women), two large-scale population-based cohort studies. Volumes of hypothalamic structures were obtained from 3T structural magnetic resonance images through an automatic parcellation procedure (FastSurfer-HypVINN). The standardised cognitive domain scores were derived from extensive neuropsychological test batteries. We employed multivariable linear regression to assess associations of hypothalamic volumes with age, sex and cognitive performance.

findingsIn older individuals, volumes of total, anterior and posterior hypothalamus, and mammillary bodies were smaller, while those of medial hypothalamus and tuberal region were larger. Larger medial hypothalamus volume was related to higher cortisol levels in older individuals, providing functional validation. Volumes of all hypothalamic structures were larger in men compared to women. In both sexes, larger volumes of total, anterior and posterior hypothalamus, and mammillary bodies were associated with better domain-specific cognitive performance, whereas larger volumes of medial hypothalamus and tuberal region were associated with worse domain-specific cognitive performance.

interpretationWe found strong age and sex effects on hypothalamic structures, as well as robust associations between these structures and domain-specific cognitive functions. Overall, these findings thus implicate specific hypothalamic subregions as potential therapeutic targets against age-associated cognitive decline.

fundingInstitutional funds, Federal Ministry of Education and Research of Germany, Alzheimer's Association.

Indexed as

CognitionHypothalamusLongevityAdultAgedAge FactorsCohort StudiesCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsOrgan SizeSex FactorsAge-associated cognitive declineBrain imagingCognitive functionCortisolHypothalamusSexual dimorphism

Identifiers

PMID39708426
PMCPMC11732039

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.