Evidence map›Paper›PMID 37365408›Full record

ArticleNature human behaviour2023

Replicable brain-phenotype associations require large-scale neuroimaging data.

Shu Liu, Abdel Abdellaoui, Karin J H Verweij, Guido A van Wingen

Abstract read
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In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  12. General cognitive function and the brain's structural connectome.bioRxiv : the preprint server for biology · 2026
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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

4 authors.

Shu LiuDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands. s.liu@amsterdamumc.nl.ORCID http://orcid.org/0000-0001-8312-0080
Abdel AbdellaouiDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-1088-6784
Karin J H VerweijDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-9868-7821
Guido A van WingenDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands. g.a.vanwingen@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-3076-5891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous neuroimaging studies have investigated the neural basis of interindividual differences but the replicability of brain-phenotype associations remains largely unknown. We used the UK Biobank neuroimaging dataset (N = 37,447) to examine associations with six variables related to physical and mental health: age, body mass index, intelligence, memory, neuroticism and alcohol consumption, and assessed the improvement of replicability for brain-phenotype associations with increasing sampling sizes. Age may require only 300 individuals to provide highly replicable associations but other phenotypes required 1,500 to 3,900 individuals. The required sample size showed a negative power law relation with the estimated effect size. When only comparing the upper and lower quarters, the minimally required sample sizes for imaging decreased by 15-75%. Our findings demonstrate that large-scale neuroimaging data are required for replicable brain-phenotype associations, that this can be mitigated by preselection of individuals and that small-scale studies may have reported false positive findings.

Indexed as

BrainNeuroimagingAlcohol DrinkingPhenotype

Identifiers

What OpenQuestion holds

Textmetadata
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.