Evidence map›Paper›PMID 40072912›Full record

ArticleeLife2025

Using normative models pre-trained on cross-sectional data to evaluate intra-individual longitudinal changes in neuroimaging data.

Barbora Rehak Buckova, Charlotte Fraza, Rastislav Rehák, Marián Kolenič, Christian F Beckmann, Filip Španiel, Andre F Marquand, Jaroslav Hlinka

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  4. Spatially and temporally progressive hypoperfusion in Alzheimer's disease revealed by normative modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
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  9. Review
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  15. Psychiatric neuroimaging designs for individualised, cohort, and population studies.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  16. Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  17. Article
  18. Article
  19. 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

8 authors.

Barbora Rehak BuckovaDepartment of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic.ORCID https://orcid.org/0000-0001-5619-3946
Charlotte FrazaDonders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.ORCID https://orcid.org/0000-0002-7088-9250
Rastislav RehákMax Planck Institute for Research on Collective Goods, Bonn, Germany.
Marián KoleničNational Institute of Mental Health, Klecany, Czech Republic.ORCID https://orcid.org/0000-0002-2382-3478
Christian F BeckmannDonders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.
Filip ŠpanielNational Institute of Mental Health, Klecany, Czech Republic.
Andre F Marquand *Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.ORCID https://orcid.org/0000-0001-5903-203X
Jaroslav Hlinka *Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic.ORCID https://orcid.org/0000-0003-1402-1470

Funding

Czech Health Research Council NU21-08-00432Czech Technical University Internal Grant Agency SGS22/062/OHK3/1 T/13European Research Council 'MENTALPRECISION': 10100118Ministry of Education, Youth and Sports CZ.02.2.69/0.0/0.0/18_053/0017594Programme Johannes Amos Comenius 'BRADY' CZ.02.01.01/00/22_008/0004643Wellcome TrustWellcome Trust 'BRAINCHART': 215698/Z/19/ZWellcome Trust 'PRECOGNITION': 226706/Z/22/Z
6 · The paper itself

Abstract

Longitudinal neuroimaging studies offer valuable insight into brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding of population variation are primarily tailored for cross-sectional studies. To fully leverage the potential of longitudinal neuroimaging, we need methodologies that account for the complex interplay between population variation and individual dynamics. We extend the normative modelling framework, which evaluates an individual's position relative to population standards, to assess an individual's longitudinal

Indexed as

BrainNeuroimagingSchizophreniaAdultCross-Sectional StudiesFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedhumanMRIneuroimagingneurosciencenormative modellingpsychosisschizophrenia

Identifiers

PMID40072912
PMCPMC11903031

What OpenQuestion holds

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Registered trials

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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.