Evidence map›Paper›PMID 33314530›Full record

ArticleHuman brain mapping2021

Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging.

Melis Anatürk, Tobias Kaufmann, James H Cole, Sana Suri, Ludovica Griffanti, Enikő Zsoldos, Nicola Filippini, Archana Singh-Manoux, Mika Kivimäki, Lars T Westlye and 2 more

Abstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–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

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The effects of magnesium L-threonate (MagteinFrontiers in nutrition · 2025
    Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Brain Age in Adult Patients With Early-Treated Phenylketonuria.Journal of inherited metabolic disease · 2026
    Article
  8. Article
  9. Article
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  12. Review
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17 more citing papers are in PubMed but not listed here.

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

12 authors.

Melis AnatürkDepartment of Psychiatry, University of Oxford, Oxford, UK.
Tobias KaufmannNORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
James H ColeCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.ORCID 0000-0003-1908-5588
Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, UK.
Ludovica GriffantiDepartment of Psychiatry, University of Oxford, Oxford, UK.
Enikő ZsoldosDepartment of Psychiatry, University of Oxford, Oxford, UK.
Nicola FilippiniDepartment of Psychiatry, University of Oxford, Oxford, UK.
Archana Singh-ManouxEpidemiology of Ageing and Neurodegenerative diseases, Université de Paris, INSERM U1153, Paris, France.
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, London, UK.
Lars T WestlyeNORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-8644-956X
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford, UK.
Ann-Marie G de LangeDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0002-5150-6656

Funding

Role of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5M
Department of HealthMedical Research Council G1001354Medical Research Council MR/K013351/1Medical Research Council MR/L023784/2Medical Research Council MR/R024227/1Medical Research Council MR/R024790/1Medical Research Council MR/R024790/2Medical Research Council MR/S011676/1Medical Research Council R024227NIA NIH HHS RF1 AG062553Parkinson's UK J-0901Wellcome TrustWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of neurodegeneration or aging-related brain changes. While both mechanisms are thought to contribute to individual differences in cognitive function among older adults, there is currently no "gold standard" for measuring these constructs. Using machine-learning methods, we estimated brain and cognitive age based on deviations from normative aging patterns in the Whitehall II MRI substudy cohort (N = 537, age range = 60.34-82.76), and tested the degree of correspondence between these constructs, as well as their associations with premorbid IQ, education, and lifestyle trajectories. In line with established literature highlighting IQ as a proxy for cognitive reserve, higher premorbid IQ was linked to lower cognitive age independent of brain age. No strong evidence was found for associations between brain or cognitive age and lifestyle trajectories from midlife to late life based on latent class growth analyses. However, post hoc analyses revealed a relationship between cumulative lifestyle measures and brain age independent of cognitive age. In conclusion, we present a novel approach to characterizing brain and cognitive maintenance in aging, which may be useful for future studies seeking to identify factors that contribute to brain preservation and cognitive reserve mechanisms in older age.

Indexed as

AgedAged, 80 and overAge FactorsAgingBrainCognitive ReserveCohort StudiesFemaleHumansIntelligenceLife StyleMachine LearningMagnetic Resonance ImagingMaleMiddle Agedagingbrain maintenancecognitive reservelifestylemachine learningneuroimagingtrajectories

Identifiers

PMID33314530
PMCPMC7978127

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.