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Cited by 258

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

NeuroQuery, comprehensive meta-analysis of human brain mapping

Open access
Dockès, Jérôme, Poldrack, Russell A, Primet, Romain, Gözükan, Hande, Yarkoni, Tal, Suchanek, Fabian, Thirion, Bertrand, Varoquaux, Gaël·2020·eLife

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 predicts the spatial distribution of neurological observations, given text describing an experiment, cognitive process, or disease. This approach handles text of arbitrary length and terms that are too rare for standard meta-analysis. We capture the relationships and neural correlates of 7547 neuroscience terms across 13 459 neuroimaging publications. The resulting meta-analytic tool, neuroquery.org, can ground hypothesis generation and data-analysis priors on a comprehensive view of published findings on the brain.

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Metadata

Authors
Dockès, J., Poldrack, R. A., Primet, R., Gözükan, H., Yarkoni, T., Suchanek, F., Thirion, B., & Varoquaux, G.
Venue
eLife
Published
2020-03-04
Volume
9
ISSN
2050-084X (ISSN-L)
OpenAlex
W3007049734
Cited by
258
References
55
FWCI
3.64
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: NeuroQuery, comprehensive meta-analysis of human brain mapping. https://app.cochat.ai/papers/10.7554/elife.53385
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Dockès, J., Poldrack, R. A., Primet, R., Gözükan, H., Yarkoni, T., Suchanek, F., Thirion, B., & Varoquaux, G. (2020). NeuroQuery, comprehensive meta-analysis of human brain mapping. eLife. https://doi.org/10.7554/elife.53385

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.