Evidence map›Paper›PMID 39570569›Full record

ArticleGeroScience2025

Cognitive aging and reserve factors in the Metropolit 1953 Danish male cohort.

Mostafa Mehdipour Ghazi, Olalla Urdanibia-Centelles, Aftab Bakhtiari, Birgitte Fagerlund, Mark Bitsch Vestergaard, Henrik Bo Wiberg Larsson, Erik Lykke Mortensen, Merete Osler, Mads Nielsen, Krisztina Benedek and 1 more

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

11 authors.

Mostafa Mehdipour GhaziPioneer Centre for AI, Department of Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark. ghazi@di.ku.dk.ORCID 0000-0002-8473-281X
Olalla Urdanibia-CentellesDepartment of Clinical Neurophysiology, Copenhagen University Hospital, Copenhagen, Denmark.
Aftab BakhtiariDepartment of Clinical Physiology and Nuclear Medicine, Glostrup University Hospital, Glostrup, Denmark.
Birgitte FagerlundDepartment of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark.
Mark Bitsch VestergaardDepartment of Clinical Physiology and Nuclear Medicine, Glostrup University Hospital, Glostrup, Denmark.
Henrik Bo Wiberg LarssonDepartment of Clinical Physiology and Nuclear Medicine, Glostrup University Hospital, Glostrup, Denmark.
Erik Lykke MortensenDepartment of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Merete OslerDepartment of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Mads NielsenPioneer Centre for AI, Department of Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Krisztina BenedekDepartment of Neurology, Zealand University Hospital, Roskilde, Denmark.
Martin LauritzenDepartment of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Funding

Lundbeck Foundation R400-2022-617
6 · The paper itself

Abstract

Identifying early predictors of cognitive decline and at-risk individuals is essential for timely intervention and prevention of dementia. This study aimed to detect neurobiological changes and factors related to cognitive performance in the Metropolit 1953 Danish male birth cohort. We analyzed data from 582 participants, aged 57-68 years, using machine learning techniques to group cognitive trajectories into four clusters differentiating high- and low-performing groups. These clusters were then evaluated with MRI, EEG, and lifestyle/familial risk factors to identify predictors of cognitive decline. Low education and occupation, alcohol consumption, and type 2 diabetes were associated with lower cognitive performance. Declines in neocortical volume and increases in frontotemporal alpha and temporoparietal gamma activity preceded clinical symptoms of cognitive decline. Neocortical atrophy and disruptions in network activity were prominent in lower-performing groups, with higher education and IQ scores and a lower prevalence of lifestyle factors moderating cognitive decline.

Indexed as

Cognitive AgingCognitive DysfunctionCognitive ReserveAgedCohort StudiesDenmarkEducational StatusElectroencephalographyHumansLife StyleMachine LearningMagnetic Resonance ImagingMaleMiddle AgedRisk FactorsAging risk factorsCognitive declineCognitive reserveElectroencephalographyMachine learningMagnetic resonance imaging

Identifiers

PMID39570569
PMCPMC11978600

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.