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A low-activity cortical network selectively encodes syntax.
Morgan, Adam M; Devinsky, Orrin; Doyle, Werner K; Dugan, Patricia; Friedman, Daniel; Flinker, Adeen.
Afiliação
  • Morgan AM; Neurology Department, NYU Grossman School of Medicine, 550 1st Ave, New York, 10016, NY, USA.
  • Devinsky O; Neurosurgery Department, NYU Grossman School of Medicine, 550 1st Ave, New York, 10016, NY, USA.
  • Doyle WK; Neurology Department, NYU Grossman School of Medicine, 550 1st Ave, New York, 10016, NY, USA.
  • Dugan P; Neurology Department, NYU Grossman School of Medicine, 550 1st Ave, New York, 10016, NY, USA.
  • Friedman D; Neurology Department, NYU Grossman School of Medicine, 550 1st Ave, New York, 10016, NY, USA.
  • Flinker A; Neurology Department, NYU Grossman School of Medicine, 550 1st Ave, New York, 10016, NY, USA.
bioRxiv ; 2024 Jun 20.
Article em En | MEDLINE | ID: mdl-38948730
ABSTRACT
Syntax, the abstract structure of language, is a hallmark of human cognition. Despite its importance, its neural underpinnings remain obscured by inherent limitations of non-invasive brain measures and a near total focus on comprehension paradigms. Here, we address these limitations with high-resolution neurosurgical recordings (electrocorticography) and a controlled sentence production experiment. We uncover three syntactic networks that are broadly distributed across traditional language regions, but with focal concentrations in middle and inferior frontal gyri. In contrast to previous findings from comprehension studies, these networks process syntax mostly to the exclusion of words and meaning, supporting a cognitive architecture with a distinct syntactic system. Most strikingly, our data reveal an unexpected property of syntax it is encoded independent of neural activity levels. We propose that this "low-activity coding" scheme represents a novel mechanism for encoding information, reserved for higher-order cognition more broadly.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos