Evidence map›Paper›PMID 34775210›Full record

ArticleNeurobiology of aging2022

Brain-predicted age difference is associated with cognitive processing in later-life.

Jo Wrigglesworth, Nurathifah Yaacob, Phillip Ward, Robyn L Woods, John McNeil, Elsdon Storey, Gary Egan, Anne Murray, Raj C Shah, Sharna D Jamadar and 5 more

Abstract read
In one paragraph

Article in Neurobiology of aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024
    Pooled it
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  8. Brain Age in Adult Patients With Early-Treated Phenylketonuria.Journal of inherited metabolic disease · 2026
    Article
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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

15 authors.

Jo WrigglesworthSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Nurathifah YaacobSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Phillip WardMonash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Victoria, Australia.
Robyn L WoodsSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
John McNeilSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Elsdon StoreySchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Gary EganMonash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Victoria, Australia.
Anne MurrayBerman Center for Outcomes & Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, MN, USA; Department of Medicine, Division of Geriatrics, Hennepin Healthcare, University of Minnesota, Minneapolis, MN, USA.
Raj C ShahDepartment of Family Medicine and the Rush Alzheimer's Disease Centre, Rush University Medical Centre, Chicago, IL, USA.
Sharna D JamadarMonash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Victoria, Australia.
Ruth TrevaksSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Stephanie WardSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia; Department of Geriatric Medicine, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Ian H HardingMonash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Joanne RyanSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. Electronic address: joanne.ryan@monash.edu.
ASPREE investigator group

Funding

ASPirin in Reducing Events in the ElderlyU01AG029824 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI MCNEIL, JOHN JAMES, MURRAY, ANNE M · 2009 to 2018
$64.6M
Main Administrative CoreU19AG062682 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI CHAN, ANDREW T, MCNEIL, JOHN JAMES · 2019 to 2023
$42.9M
NIA NIH HHS U01 AG029824NIA NIH HHS U19 AG062682
6 · The paper itself

Abstract

Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with cognitive function at baseline and longitudinally. Participants were relatively healthy, predominantly white community-dwelling older adults (n = 531, aged ≥70 years), with high educational attainment (61% ≥12 years) and socioeconomic status (59% ≥75th percentile). Brain age was estimated from T1-weighted magnetic resonance images using an algorithm by Cole et al., 2018. After controlling for age, gender, education, depression and body mass index, brain-PAD was negatively associated with psychomotor speed (Symbol Digit Modalities Test) at baseline (Bonferroni p < 0.006), but was not associated with baseline verbal fluency (Controlled Oral Word Association Test), delayed recall (Hopkins Learning Test Revised), or general cognitive status (Mini-Mental State Examination). Baseline brain-PAD was not associated with 3-year change in cognition (Bonferroni p > 0.006). These findings indicate that even in relatively healthy older people, accelerated brain aging is associated with worse psychomotor speed, but future longitudinal research into changes in brain-PAD is needed.

Indexed as

AgedAge FactorsAgingBody Mass IndexBrainCognitionCognitive AgingDiffusion Tensor ImagingEducational StatusFemaleHumansMaleNeuroimagingPsychomotor PerformanceReaction TimeSocial ClassBrain agingCognitive functionEstimated brain ageMagnetic resonance imagingNeuroimagingPredicted age difference

Identifiers

PMID34775210
PMCPMC8832483

What OpenQuestion holds

Textmetadata
LicenceTDM
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.