Evidence map›Paper›PMID 29892055›Full record

ReviewMolecular psychiatry2019

Brain age and other bodily 'ages': implications for neuropsychiatry.

James H Cole, Riccardo E Marioni, Sarah E Harris, Ian J Deary

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 256 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
256citing papers in PubMed, 7 pooled it
22.4field-weighted citation impact, top 1% of its field
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

256 citing papers in PubMed, 7 syntheses or guidelines pooled it, 470 citations in OpenAlex.

  1. Pooled it
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  3. BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024
    Pooled it
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  8. Trial
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  11. Article
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  14. Neonatal brain-age models in full- and preterm infants.Developmental cognitive neuroscience · 2026
    Article
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  17. Metabolic syndrome is associated with accelerated brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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196 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

4 authors at 3 institutions in 1 country.

James H ColeDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. james.cole@kcl.ac.uk.
Riccardo E MarioniCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Sarah E HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBKing's College London · GBMRC Institute of Genetics and Molecular Medicine · GB

Funding

Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1Medical Research Council MR/R024790/1
6 · The paper itself

Abstract

As our brains age, we tend to experience cognitive decline and are at greater risk of neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases are also exacerbated during ageing. However, the ageing process does not affect people uniformly; nor, in fact, does the ageing process appear to be uniform even within an individual. Here, we outline recent neuroimaging research into brain ageing and the use of other bodily ageing biomarkers, including telomere length, the epigenetic clock, and grip strength. Some of these techniques, using statistical approaches, have the ability to predict chronological age in healthy people. Moreover, they are now being applied to neurological and psychiatric disease groups to provide insights into how these diseases interact with the ageing process and to deliver individualised predictions about future brain and body health. We discuss the importance of integrating different types of biological measurements, from both the brain and the rest of the body, to build more comprehensive models of the biological ageing process. Finally, we propose seven steps for the field of brain-ageing research to take in coming years. This will help us reach the long-term goal of developing clinically applicable statistical models of biological processes to measure, track and predict brain and body health in ageing and disease.

Indexed as

AgingBiomarkersBrainCellular SenescenceEpigenomicsHumansNeurodegenerative DiseasesNeuroimagingNeuropsychiatryBiomarkers

Identifiers

PMID29892055
PMCPMC6344374
OpenAlexW2806974828

What OpenQuestion 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 OpenQuestion graph.