Evidence map›Paper›PMID 38609551›Full record

ReviewNature reviews. Neuroscience2024

The language network as a natural kind within the broader landscape of the human brain.

Evelina Fedorenko, Anna A Ivanova, Tamar I Regev

Abstract readReview
In one paragraph

Review in Nature reviews. Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing 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

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

  1. Socioeconomic Status Disparities in Children's Cognition-Differences in Degree or Kind?Perspectives on psychological science : a journal of the Association for Psychological Science · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Structural neuroimaging correlates of semantic incoherence in schizophrenia.European archives of psychiatry and clinical neuroscience · 2026
    Article

95 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

3 authors.

Evelina FedorenkoBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA. evelina9@mit.edu.ORCID http://orcid.org/0000-0003-3823-514X
Anna A IvanovaSchool of Psychology, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-1184-8299
Tamar I RegevBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0639-0890

Funding

Computational Neuroscience of Language Processing in the Human BrainU01NS121471 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA, RICHARDSON, ROBERT MARK · 2021 to 2025
$3.2M
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
NIDCD NIH HHS R01 DC016607NIDCD NIH HHS R01 DC016950NINDS NIH HHS U01 NS121471
6 · The paper itself

Abstract

Language behaviour is complex, but neuroscientific evidence disentangles it into distinct components supported by dedicated brain areas or networks. In this Review, we describe the 'core' language network, which includes left-hemisphere frontal and temporal areas, and show that it is strongly interconnected, independent of input and output modalities, causally important for language and language-selective. We discuss evidence that this language network plausibly stores language knowledge and supports core linguistic computations related to accessing words and constructions from memory and combining them to interpret (decode) or generate (encode) linguistic messages. We emphasize that the language network works closely with, but is distinct from, both lower-level - perceptual and motor - mechanisms and higher-level systems of knowledge and reasoning. The perceptual and motor mechanisms process linguistic signals, but, in contrast to the language network, are sensitive only to these signals' surface properties, not their meanings; the systems of knowledge and reasoning (such as the system that supports social reasoning) are sometimes engaged during language use but are not language-selective. This Review lays a foundation both for in-depth investigations of these different components of the language processing pipeline and for probing inter-component interactions.

Indexed as

BrainLanguageBrain MappingHumansNerve NetNeural Pathways

Identifiers

PMID38609551
PMCPMC13222024

What OpenQuestion holds

Textmetadata
LicenceTDM
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.