Evidence map›Paper›PMID 36038572›Full record

ArticleScientific data2022

Probabilistic atlas for the language network based on precision fMRI data from >800 individuals.

Benjamin Lipkin, Greta Tuckute, Josef Affourtit, Hannah Small, Zachary Mineroff, Hope Kean, Olessia Jouravlev, Lara Rakocevic, Brianna Pritchett, Matthew Siegelman and 10 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 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

108 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. The Extended Language Network: Language-Responsive Brain Areas Whose Contributions to Language Remain To Be Discovered.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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48 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

20 authors.

Benjamin LipkinDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA. lipkinb@mit.edu.
Greta TuckuteDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Josef AffourtitDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Hannah SmallDepartment of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA.
Zachary MineroffHuman-computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-8806-9069
Hope Kean *Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Olessia Jouravlev *Department of Cognitive Science, Carleton University, Ottawa, ON, Canada.
Lara Rakocevic *Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Brianna Pritchett *Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Matthew Siegelman *Department of Psychology, Columbia University, New York, NY, USA.
Caitlyn Hoeflin *Harris School of Public Policy, University of Chicago, Chicago, IL, USA.
Alvincé Pongos *Department of Bioengineering, University of California, Berkeley, CA, USA.ORCID 0000-0001-6093-0777
Idan A Blank *Department of Psychology, University of California, Los Angeles, CA, USA.
Melissa Kline Struhl *Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Anna Ivanova *Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Steven ShannonMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Aalok SatheDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-5248-7557
Malte HoffmannAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Cambridge, MA, USA.ORCID 0000-0002-5511-0739
Alfonso Nieto-CastañónMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Evelina FedorenkoDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA. evelina9@mit.edu.ORCID 0000-0003-3823-514X

Funding

Functional reorganization of the language and domain-general multiple demand systems in aphasiaR01DC016950 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FEDORENKO, EVELINA, KIRAN, SWATHI · 2019 to 2023
$3.2M
The neural architecture of pragmatic processingR01DC016607 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA · 2018 to 2022
$2.4M
fMRI investigations of the functional architecture of the language systemR00HD057522 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI FEDORENKO, EVELINA · 2014 to 2016
$738k
Fast motion-robust fetal neuroimaging with MRIK99HD101553 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, MALTE · 2020 to 2022
$275k
fMRI investigations of the functional architecture of the language systemK99HD057522 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA · 2009 to 2010
$160k
NICHD NIH HHS K99 HD057522NICHD NIH HHS K99 HD101553NICHD NIH HHS R00 HD057522NIDCD NIH HHS R01 DC016607NIDCD NIH HHS R01 DC016950U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) HD057522U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) DC016607U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) DC016607-04S1U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) DC016950
6 · The paper itself

Abstract

Two analytic traditions characterize fMRI language research. One relies on averaging activations across individuals. This approach has limitations: because of inter-individual variability in the locations of language areas, any given voxel/vertex in a common brain space is part of the language network in some individuals but in others, may belong to a distinct network. An alternative approach relies on identifying language areas in each individual using a functional 'localizer'. Because of its greater sensitivity, functional resolution, and interpretability, functional localization is gaining popularity, but it is not always feasible, and cannot be applied retroactively to past studies. To bridge these disjoint approaches, we created a probabilistic functional atlas using fMRI data for an extensively validated language localizer in 806 individuals. This atlas enables estimating the probability that any given location in a common space belongs to the language network, and thus can help interpret group-level activation peaks and lesion locations, or select voxels/electrodes for analysis. More meaningful comparisons of findings across studies should increase robustness and replicability in language research.

Indexed as

BrainLanguageMagnetic Resonance ImagingBrain MappingHumans

Identifiers

PMID36038572
PMCPMC9424256

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.