Evidence map›Paper›PMID 32141032›Full record

ArticleBrain imaging and behavior2021

Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis.

Rory Boyle, Lee Jollans, Laura M Rueda-Delgado, Rossella Rizzo, Görsev G Yener, Jason P McMorrow, Silvin P Knight, Daniel Carey, Ian H Robertson, Derya D Emek-Savaş and 3 more

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  7. Brain Age in Adult Patients With Early-Treated Phenylketonuria.Journal of inherited metabolic disease · 2026
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  9. Review
  10. Regional brain aging patterns reveal disease-specific pathways of neurodegeneration.medRxiv : the preprint server for health sciences · 2025
    Article
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  15. Article
  16. Resting-state functional connectivity correlates of brain structural aging in schizophrenia.European archives of psychiatry and clinical neuroscience · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

2 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

13 authors.

Rory BoyleTrinity College Institute of Neuroscience, Trinity College Dublin, Lloyd Building, Dublin 2, Ireland.
Lee JollansDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, München, Germany.
Laura M Rueda-DelgadoTrinity College Institute of Neuroscience, Trinity College Dublin, Lloyd Building, Dublin 2, Ireland.
Rossella RizzoPhysics Department, University of Calabria, Rende, CS, Italy.
Görsev G YenerDepartment of Neurosciences, Institute of Health Sciences, Dokuz Eylul University, İzmir, Turkey.
Jason P McMorrowCentre for Advanced Medical Imaging, St. James's Hospital, Dublin 8, Ireland.
Silvin P KnightSchool of Medicine, Trinity College Dublin, Dublin 2, Ireland.
Daniel CareyThe Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin 2, Ireland.
Ian H RobertsonTrinity College Institute of Neuroscience, Trinity College Dublin, Lloyd Building, Dublin 2, Ireland.
Derya D Emek-SavaşDepartment of Neurosciences, Institute of Health Sciences, Dokuz Eylul University, İzmir, Turkey.
Yaakov SternCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, USA.
Rose Anne KennySchool of Medicine, Trinity College Dublin, Dublin 2, Ireland.
Robert WhelanTrinity College Institute of Neuroscience, Trinity College Dublin, Lloyd Building, Dublin 2, Ireland. robert.whelan@tcd.ie.ORCID http://orcid.org/0000-0002-2790-7281

Funding

Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Miguel Arce · 2020 to 2026
$30.1M
Exploring Cognitive Aging Using Reference Ability Neural NetworksR01AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2011 to 2025
$17.0M
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
Dokuz Eylül Üniversitesi 2018.KB.SAG.084Dokuz Eylül Üniversitesi (TR) 2018.KB.SAG.084Irish Research Council EPSPG/2017/277NIA NIH HHS P30 AG066462NIA NIH HHS P50 AG008702NIA NIH HHS R01 AG026158NIA NIH HHS R01 AG038465NIA NIH HHS RF1 AG038465Science Foundation Ireland 16/ECRD/3797Science Foundation Ireland 16/ERCD/3797Türkiye Bilimsel ve Teknolojik Araştirma Kurumu 112S459
6 · The paper itself

Abstract

Brain-predicted age difference scores are calculated by subtracting chronological age from 'brain' age, which is estimated using neuroimaging data. Positive scores reflect accelerated ageing and are associated with increased mortality risk and poorer physical function. To date, however, the relationship between brain-predicted age difference scores and specific cognitive functions has not been systematically examined using appropriate statistical methods. First, applying machine learning to 1359 T1-weighted MRI scans, we predicted the relationship between chronological age and voxel-wise grey matter data. This model was then applied to MRI data from three independent datasets, significantly predicting chronological age in each dataset: Dokuz Eylül University (n = 175), the Cognitive Reserve/Reference Ability Neural Network study (n = 380), and The Irish Longitudinal Study on Ageing (n = 487). Each independent dataset had rich neuropsychological data. Brain-predicted age difference scores were significantly negatively correlated with performance on measures of general cognitive status (two datasets); processing speed, visual attention, and cognitive flexibility (three datasets); visual attention and cognitive flexibility (two datasets); and semantic verbal fluency (two datasets). As such, there is firm evidence of correlations between increased brain-predicted age differences and reduced cognitive function in some domains that are implicated in cognitive ageing.

Indexed as

BrainMagnetic Resonance ImagingCognitionHumansLongitudinal StudiesNeuroimagingNeuropsychological TestsBiomarkersBrain ageingCognitive ageingCognitive functionMachine learningMRI

Identifiers

PMID32141032
PMCPMC7500565

What OpenQuestion holds

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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.