Reworking the language network
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Prior investigations of functional specialization have focused on the response profiles of particular brain regions. Given the growing emphasis on regional covariation, we propose to reframe these questions in terms of brain 'networks' (collections of regions jointly engaged by some mental process). Despite the challenges that investigations of the language network face, a network approach may prove useful in understanding the cognitive architecture of language. We propose that a language network plausibly includes a functionally specialized 'core' (brain regions that coactivate with each other during language processing) and a domain-general 'periphery' (a set of brain regions that may coactivate with the language core regions at some times but with other specialized systems at other times, depending on task demands). Framing the debate around network properties such as this may prove to be a more fruitful way to advance our understanding of the neurobiology of language.
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Brain areas and associated circuits or networks may be engaged in tasks differently over time: some transiently and some consistently.
“Brain areas and associated circuits or networks may be engaged in tasks differently over time: some transiently and some consistently (2, 3).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [2]
Many so-called domain-general areas engage in multiple functions, differing from domain-specific areas such as primary visual cortex that perform a very specific function.
“emerging evidence indicates that many so-called “domain-general” areas engage in multiple functions, differing from “domain-specific” areas such as primary visual cortex that perform a very specific function (1, 2).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [2]
Connectivity analyses provide direct evidence of neurophysiological mechanisms defining the roles of brain networks in cognition.
“For example, although classical GLM-based approaches are often interpreted as indicating functional associations between regions, connectivity analyses provide direct evidence of neurophysiological mechanisms defining the roles of brain networks in cognition (2).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [2]
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Self-citationA voice without a mouth no more: The neurobiology of language and consciousness
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Verbal and visual cognition: Individual differences in the lab, in the brain, and in the classroom
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- Authors
- Fedorenko, E., & Thompson-Schill, S. L.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Fedorenko, Evelina
- ORCID
- Fedorenko, Evelina
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 18
- Issue
- 3
- Pages
- 120-126
- ISSN
- 1364-6613 (ISSN-L)
- PMC
- PMC4091770
- OpenAlex
- W2060623117
- Cited by
- 615
- References
- 82
- Citations by year
- 2026: 38 · 2025: 56 · 2024: 53 · 2023: 52 · 2022: 50 · 2021: 89 · 2020: 65 · 2019: 42 · 2018: 38 · 2017: 44 · 2016: 44 · 2015: 29 · 2014: 15
- FWCI
- 4.26
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Trends in Cognitive Sciences (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5k99hd057522-02, 5r01dc009209-15)
- National Institute on Deafness and Other Communication Disorders (R01-DC009209)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K99 HD-057522, R00HD057522)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Keywords
- language network, functional specialization, brain networks, coactivation, neurobiology of language
- MeSH terms
- Brain, Humans, Language, Models, Neurological, Neural Pathways
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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