Evidence map›Paper›PMID 32835819›Full record

ArticleNeuroImage2020

Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study.

Ann-Marie G de Lange, Melis Anatürk, Sana Suri, Tobias Kaufmann, James H Cole, Ludovica Griffanti, Enikő Zsoldos, Daria E A Jensen, Nicola Filippini, Archana Singh-Manoux and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Trial
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  4. [Research progress on intelligent brain age prediction methods in diagnosis of Parkinson's disease].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Review
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15 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.

Ann-Marie G de LangeDepartment of Psychiatry, University of Oxford, Oxford, UK; Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. Electronic address: a.m.g.d.lange@psykologi.uio.no.
Melis AnatürkDepartment of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, 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; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
Ludovica GriffantiDepartment of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Enikő ZsoldosDepartment of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Daria E A JensenDepartment of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Nicola FilippiniDepartment of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Archana Singh-ManouxEpidemiology of Ageing and Neurodegenerative Diseases, Universit de Paris, INSERM U1153, Paris France; Department of Epidemiology and Public Health, University College London, London, UK.
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, London, UK.
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway.
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford, UK.

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 Health HQR00984Medical 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 R024227Medical Research Council S011676NIA NIH HHS RF1 AG062553Parkinson's UK J-0901Wellcome TrustWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

Brain age is becoming a widely applied imaging-based biomarker of neural aging and potential proxy for brain integrity and health. We estimated multimodal and modality-specific brain age in the Whitehall II (WHII) MRI cohort using machine learning and imaging-derived measures of gray matter (GM) morphology, white matter microstructure (WM), and resting state functional connectivity (FC). The results showed that the prediction accuracy improved when multiple imaging modalities were included in the model (R

Indexed as

AgingAgedBrainCardiovascular DiseasesCognitionFemaleGray MatterHeart Disease Risk FactorsHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingRisk FactorsWhite MatterBrain age predictionCardiovascular riskMachine learningMultimodal MRI

Identifiers

PMID32835819
PMCPMC8121758

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.