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The Extended Language Network: Language-Responsive Brain Areas Whose Contributions to Language Remain To Be Discovered.

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Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

Shell · 31 lines · 1.1 KB · no license

  1. #!/usr/bin/env bash
  2. # setup-dev.sh — reproducible R environment setup using renv
  3. set -e
  4. echo "setting up R environment using renv..."
  5. # check that R is installed
  6. if ! command -v R &> /dev/null; then
  7. echo "error: R is not installed or not in PATH. please install R before proceeding."
  8. exit 1
  9. fi
  10. # check that renv.lock exists
  11. if [ ! -f "renv.lock" ]; then
  12. echo "warning: no renv.lock file found in the current directory."
  13. echo "skipping renv::restore()."
  14. exit 0
  15. fi
  16. # install renv if not already installed (non-interactive, specify CRAN mirror)
  17. Rscript --no-save --no-restore -e "if (!requireNamespace('renv', quietly = TRUE)) install.packages('renv', repos='https://cloud.r-project.org')"
  18. # restore renv environment (non-interactive)
  19. Rscript --no-save --no-restore -e "renv::restore(prompt = FALSE)"
  20. # print versions for debugging
  21. Rscript --no-save --no-restore -e "cat('R version:', getRversion(), '\n'); if (requireNamespace('renv', quietly = TRUE)) cat('renv version:', as.character(utils::packageVersion('renv')), '\n')"
  22. echo "environment setup complete."

setup-dev.sh, no license · at the source

Overview

Authors: Agata Wolna1, Aaron Wright1, Colton Casto1,2,3, Samuel Hutchinson1, Benjamin Lipkin1, Evelina Fedorenko1,3
  1. McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
  2. Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, Massachusetts 02138
  3. Program in Speech and Hearing Bioscience and Technology (SHBT), Harvard University, Cambridge, Massachusetts 02138
Institutions: McGovern Institute for Brain Research (United States); Massachusetts Institute of Technology (United States); Harvard University (United States)
Dates: received 25 March 2025; accepted 5 May 2026; published online 29 June 2026; in print 22 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1523/jneurosci.0638-25.2026 · PMID 42373548 · PMCID PMC13393535 · OpenAlex W7166538763
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: fMRI (modality), human (organism), cognitive (subfield)
Methods: Connectivity, Machine learning, Statistics, fMRI & imaging, Spectral & time-frequency, Preprocessing
Keywords: functional localization, functional MRI, language network, language selectivity
MeSH: Brain*, Language*, Nerve Net*, Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Young Adult (* major topic)
Topic: Neurobiology of Language and Bilingualism (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Kempner Institute for the Study of Neural and Artificial Intelligence; MIT Siegel Family Quest for Intelligence; Simons Foundation; MIT | McGovern Institute for Brain Research, Massachusetts Institute of Technology
Citations: cited by 7 papers (Europe PMC); 106 references in the paper

Abstract

Although language neuroscience has largely focused on “core” left frontal and temporal brain areas and their right-hemisphere homotopes, numerous other areas—cortical and subcortical—have been implicated in linguistic processing. However, these areas' contributions to language remain unclear given that the evidence for their recruitment comes from diverse paradigms, many of which conflate language processing with perceptual, motor, or task-related cognitive processes. Using fMRI data from 772 participants (438 females, 334 males) performing an extensively validated language “localizer” paradigm that isolates language processing from other processes, we (1) delineate a comprehensive set of areas that respond reliably to language across written and auditory modalities and (2) evaluate these areas' selectivity for language relative to a demanding nonlinguistic task. In line with prior claims, many areas outside the core fronto-temporal network respond during language processing, and most of them show selectivity for language relative to general task demands. These language-selective areas of the extended language network include areas around the temporal poles, in the medial frontal cortex, in the hippocampus, and in the cerebellum, among others. Although distributed across many parts of the brain, the extended language-selective network still only comprises a small fraction (<5%) of the gray matter volume, challenging the view that the entire brain processes language. These newly identified language-selective areas can now be systematically characterized to decipher their contributions to language processing, including testing whether these contributions differ from those of the core language areas.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above.

OSF 7594t

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Languages: Shell (2), R (1)
Size: 34 files, 3 scripts
Software Heritage: not checked
Found in: “Code accessibility”
Holds: README, license file, environment (renv.lock), documentation
Not found: CITATION.cff, tests, continuous integration
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
5 files
At the source: osf.io/7594t/

Code accessibility

All data, including 3D brain contrast maps (both smoothed and unsmoothed), parcels, and data produced by the functional localization analysis toolbox (spm_ss), as well as the code necessary to reproduce all analyses and plots presented in this paper are available at https://osf.io/7594t/.

Reproduced under the paper's license (CC BY), from the paper cited above.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 3 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 4 keywords, 10 MeSH terms, 4 funders, 98 references.

Cite

This paper

Wolna, A., Wright, A., Casto, C., Hutchinson, S., Lipkin, B., & Fedorenko, E. (2026). 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, 46(29), e0638252026. https://doi.org/10.1523/jneurosci.0638-25.2026

BibTeX

@article{wolna2026extended,
author = {Wolna, Agata and Wright, Aaron and Casto, Colton and Hutchinson, Samuel and Lipkin, Benjamin and Fedorenko, Evelina},
title = {{The Extended Language Network: Language-Responsive Brain Areas Whose Contributions to Language Remain To Be Discovered}},
journal = {The Journal of neuroscience : the official journal of the Society for Neuroscience},
year = {2026},
month = jul,
volume = {46},
number = {29},
pages = {e0638252026},
publisher = {Society for Neuroscience},
issn = {0270-6474},
doi = {10.1523/jneurosci.0638-25.2026},
url = {https://doi.org/10.1523/jneurosci.0638-25.2026},
pmid = {42373548},
pmcid = {PMC13393535}
}

RIS

TY - JOUR
AU - Wolna, Agata
AU - Wright, Aaron
AU - Casto, Colton
AU - Hutchinson, Samuel
AU - Lipkin, Benjamin
AU - Fedorenko, Evelina
TI - The Extended Language Network: Language-Responsive Brain Areas Whose Contributions to Language Remain To Be Discovered
T2 - The Journal of neuroscience : the official journal of the Society for Neuroscience
J2 - J Neurosci
PY - 2026
DA - 2026/07/22
VL - 46
IS - 29
SP - e0638252026
SN - 0270-6474
PB - Society for Neuroscience
DO - 10.1523/jneurosci.0638-25.2026
UR - https://doi.org/10.1523/jneurosci.0638-25.2026
LA - en
ER -

CSL-JSON

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