Evidence map›Paper›PMID 32129761›Full record

ArticleeLife2020

NeuroQuery, comprehensive meta-analysis of human brain mapping.

Jérôme Dockès, Russell A Poldrack, Romain Primet, Hande Gözükan, Tal Yarkoni, Fabian Suchanek, Bertrand Thirion, Gaël Varoquaux

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 8 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

92 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Evidence for domain-general arousal from semantic and neuroimaging meta-analyses reconciles opposing views on arousal.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  16. An Interactive Brain Atlas of Knowledge.bioRxiv : the preprint server for biology · 2026
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32 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

8 authors.

Jérôme DockèsInria, CEA, Université Paris-Saclay, Essonne, France.ORCID 0000-0002-5304-2496
Russell A PoldrackStanford University, Stanford, United States.ORCID 0000-0001-6755-0259
Romain PrimetInria, Paris, France.
Hande GözükanInria, Paris, France.
Tal YarkoniUniversity of Texas at Austin, Austin, United States.
Fabian SuchanekTélécom Paris University, Palaiseau, France.
Bertrand ThirionInria, CEA, Université Paris-Saclay, Essonne, France.
Gaël VaroquauxInria, CEA, Université Paris-Saclay, Essonne, France.ORCID 0000-0003-1076-5122

Funding

Large-scale meta-analysis of functional MRI dataR01MH096906 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alejandro De La Vega · 2012 to 2026
$7.9M
Agence Nationale de la Recherche ANR-16- CE23-0007-01Digiteo 2016-1270D - Projet MetaCogH2020 European Research Council 785907H2020 European Research Council 826421National Science Foundation OAC-1649658NIMH NIH HHS R01 MH096906
6 · The paper itself

Abstract

Reaching a global view of brain organization requires assembling evidence on widely different mental processes and mechanisms. The variety of human neuroscience concepts and terminology poses a fundamental challenge to relating brain imaging results across the scientific literature. Existing meta-analysis methods perform statistical tests on sets of publications associated with a particular concept. Thus, large-scale meta-analyses only tackle single terms that occur frequently. We propose a new paradigm, focusing on prediction rather than inference. Our multivariate model

Indexed as

Meta-Analysis as TopicBiological ProductsBrainBrain MappingDatabases, FactualData Interpretation, StatisticalHumansMultivariate AnalysisNeuroimagingBiological Productsbrain imagingcognitive ontologieshumanmeta analysisneurosciencepredictive models

Identifiers

PMID32129761
PMCPMC7164961

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.