Evidence map›Paper›PMID 37067031›Full record

ArticleeLife2023

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex.

Irene Cumplido-Mayoral, Marina García-Prat, Grégory Operto, Carles Falcon, Mahnaz Shekari, Raffaele Cacciaglia, Marta Milà-Alomà, Luigi Lorenzini, Silvia Ingala, Alle Meije Wink and 21 more

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Sex differences inFrontiers in dementia · 2025
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

31 authors.

Irene Cumplido-MayoralBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.ORCID 0000-0002-1967-7025
Marina García-PratBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Grégory OpertoBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Carles FalconBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Mahnaz ShekariBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Raffaele CacciagliaBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Marta Milà-AlomàBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Luigi LorenziniDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Silvia IngalaDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Alle Meije WinkDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Henk J M M MutsaertsDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-0894-0307
Carolina MinguillónBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Karine FauriaBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
José Luis MolinuevoBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Sven HallerCIRD Centre d'Imagerie Rive Droite, Geneva, Switzerland.ORCID 0000-0001-7433-0203
Gael ChetelatNormandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain, Cyceron, France.
Adam WaldmanCentre for Dementia Prevention, Edinburgh Imaging, and UK Dementia Research Institute at The University of Edinburgh, Edinburgh, United Kingdom.
Adam J SchwarzTakeda Pharmaceutical Company Ltd, Cambridge, United States.ORCID 0000-0002-9743-6171
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Ivonne SuridjanRoche Diagnostics International Ltd, Rotkreuz, Switzerland.
Gwendlyn KollmorgenRoche Diagnostics GmbH, Penzberg, Germany.
Anna BayfieldRoche Diagnostics GmbH, Penzberg, Germany.
Henrik ZetterbergInstitute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Kaj BlennowInstitute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Marc Suárez-CalvetBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Verónica VilaplanaDepartment of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain.ORCID 0000-0001-6924-9961
Juan Domingo GispertBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.ORCID 0000-0002-6155-0642
ALFA study
EPAD study
ADNI study
OASIS study

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444
6 · The paper itself

Abstract

Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer's disease (AD), but its validation against markers of neurodegeneration and AD is lacking. Here, imaging-derived measures from the UK Biobank dataset (N=22,661) were used to predict brain-age in 2,314 cognitively unimpaired (CU) individuals at higher risk of AD and mild cognitive impaired (MCI) patients from four independent cohorts with available biomarker data: ALFA+, ADNI, EPAD, and OASIS. Brain-age delta was associated with abnormal amyloid-β, more advanced stages (AT) of AD pathology and

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersBrainFemaleHumansMachine LearningMaleNeuroimagingAmyloid beta-PeptidesBiomarkersalzheimer's diseasebrain age predictionhumanmedicineneuroimagingneuroscience

Identifiers

PMID37067031
PMCPMC10181824

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.