Evidence map›Paper›PMID 35312210›Full record

ArticleHuman brain mapping2022

Mind the gap: Performance metric evaluation in brain-age prediction.

Ann-Marie G de Lange, Melis Anatürk, Jaroslav Rokicki, Laura K M Han, Katja Franke, Dag Alnaes, Klaus P Ebmeier, Bogdan Draganski, Tobias Kaufmann, Lars T Westlye and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 3 pooled it
17.1field-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

90 citing papers in PubMed, 3 syntheses or guidelines pooled it, 160 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  6. Trial
  7. Article
  8. Vulnerability of locus coeruleus connections to aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  9. Article
  10. Advanced machine learning model for Cobb angle progression in adolescent idiopathic scoliosis with surface topography: a multicenter, prospective, observational study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Increased Brain-Age Gap in Young Adults With Psychotic Experiences.Biological psychiatry global open science · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

30 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

12 authors at 8 institutions in 5 countries.

Ann-Marie G de LangeLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne.ORCID 0000-0002-5150-6656
Melis AnatürkDepartment of Psychiatry, University of Oxford, Oxford.ORCID 0000-0002-1887-211X
Jaroslav RokickiNORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-3258-1674
Laura K M HanDepartment of Psychiatry, Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience, Amsterdam, The Netherlands.ORCID 0000-0001-9647-3723
Katja FrankeStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany.ORCID 0000-0003-1859-5738
Dag AlnaesNORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-7361-5418
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford.ORCID 0000-0002-5190-7038
Bogdan DraganskiLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne.ORCID 0000-0002-5159-5919
Tobias KaufmannNORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-4003-1018
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo.ORCID 0000-0001-8644-956X
Tim HahnInstitute of Translational Psychiatry, University of Münster, Münster, Germany.
James H ColeCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.ORCID 0000-0003-1908-5588
Oslo University Hospital · NOUniversity of Oxford · GBAmsterdam Neuroscience · NLJena University Hospital · DEUK Dementia Research Institute · GBUniversity Hospital of Lausanne · CHUniversity of Münster · DEUniversity of Oslo · NO

Funding

Collaboratory on Research Definitions for Cognitive Reserve and ResilienceR24AG061421 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2018 to 2020
$2.5M
Medical Research Council G1001354Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/R024790/2NIA NIH HHS R24 AG061421
6 · The paper itself

Abstract

Estimating age based on neuroimaging-derived data has become a popular approach to developing markers for brain integrity and health. While a variety of machine-learning algorithms can provide accurate predictions of age based on brain characteristics, there is significant variation in model accuracy reported across studies. We predicted age in two population-based datasets, and assessed the effects of age range, sample size and age-bias correction on the model performance metrics Pearson's correlation coefficient (r), the coefficient of determination (R

Indexed as

AlgorithmsMachine LearningBrainCohort StudiesHumansbrain-age predictionmachine learningneuroimagingstatistics

Identifiers

PMID35312210
PMCPMC9188975
OpenAlexW4220800641

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.