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Distributed Sensitivity to Syntax and Semantics throughout the Language Network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AYN7D2JP4" target="_blank" >RIV/00216208:11320/25:YN7D2JP4 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196326745&doi=10.1162%2fjocn_a_02164&partnerID=40&md5=8ed15fdbca35c422c68edbc70b0e2e2f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196326745&doi=10.1162%2fjocn_a_02164&partnerID=40&md5=8ed15fdbca35c422c68edbc70b0e2e2f</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1162/jocn_a_02164" target="_blank" >10.1162/jocn_a_02164</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distributed Sensitivity to Syntax and Semantics throughout the Language Network

  • Original language description

    Human language is expressive because it is compositional: The meaning of a sentence (semantics) can be inferred from its structure (syntax). It is commonly believed that language syntax and semantics are processed by distinct brain regions. Here, we revisit this claim using precision fMRI methods to capture separation or overlap of function in the brains of individual participants. Contrary to prior claims, we find distributed sensitivity to both syntax and semantics throughout a broad frontotempo-ral brain network. Our results join a growing body of evidence for an integrated network for language in the human brain within which internal specialization is primarily a matter of degree rather than kind, in contrast with influential proposals that advocate distinct specialization of different brain areas for different types of linguistic functions. © 2024 Massachusetts Institute of Technology.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Cognitive Neuroscience

  • ISSN

    0898-929X

  • e-ISSN

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    45

  • Pages from-to

    1427-1471

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85196326745