High gamma response tracks different syntactic structures in homophonous phrases.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
05 05 2020
Historique:
received: 19 09 2019
accepted: 13 04 2020
entrez: 7 5 2020
pubmed: 7 5 2020
medline: 7 5 2020
Statut: epublish

Résumé

Syntax is a species-specific component of human language combining a finite set of words in a potentially infinite number of sentences. Since words are by definition expressed by sound, factoring out syntactic information is normally impossible. Here, we circumvented this problem in a novel way by designing phrases with exactly the same acoustic content but different syntactic structures depending on the other words they occur with. In particular, we used phrases merging an article with a noun yielding a Noun Phrase (NP) or a clitic with a verb yielding a Verb Phrase (VP). We performed stereo-electroencephalographic (SEEG) recordings in epileptic patients. We measured a different electrophysiological correlates of verb phrases vs. noun phrases in multiple cortical areas in both hemispheres, including language areas and their homologous in the non-dominant hemisphere. The high gamma band activity (150-300 Hz frequency), which plays a crucial role in inter-regional cortical communications, showed a significant difference during the presentation of the homophonous phrases, depending on whether the phrase was a verb phrase or a noun phrase. Our findings contribute to the ultimate goal of a complete neural decoding of linguistic structures from the brain.

Identifiants

pubmed: 32372065
doi: 10.1038/s41598-020-64375-9
pii: 10.1038/s41598-020-64375-9
pmc: PMC7200802
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7537

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Auteurs

Fiorenzo Artoni (F)

The Biorobotics Institute and Department of Excellence in AI and Robotics, Scuola Superiore Sant'Anna, Pisa, Italy.
Translational Neural Engineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering, EPFL - Campus Biotech, Geneve, Switzerland.

Piergiorgio d'Orio (P)

"Claudio Munari" Center for Epilepsy Surgery, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Institute of Neuroscience, CNR, Parma, Italy.

Eleonora Catricalà (E)

Neurocognition Epistemology and theoretical Syntax Research Center (NEtS), Scuola Universitaria Superiore IUSS, Pavia, Italy.

Francesca Conca (F)

Neurocognition Epistemology and theoretical Syntax Research Center (NEtS), Scuola Universitaria Superiore IUSS, Pavia, Italy.

Franco Bottoni (F)

Istituto Clinico Humanitas, IRCCS, Rozzano, Italy.

Veronica Pelliccia (V)

"Claudio Munari" Center for Epilepsy Surgery, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Institute of Neuroscience, CNR, Parma, Italy.

Ivana Sartori (I)

"Claudio Munari" Center for Epilepsy Surgery, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Giorgio Lo Russo (GL)

"Claudio Munari" Center for Epilepsy Surgery, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Stefano F Cappa (SF)

Neurocognition Epistemology and theoretical Syntax Research Center (NEtS), Scuola Universitaria Superiore IUSS, Pavia, Italy.
IRCCS Mondino Foundation National Institute of Neurology, Pavia, Italy.

Silvestro Micera (S)

The Biorobotics Institute and Department of Excellence in AI and Robotics, Scuola Superiore Sant'Anna, Pisa, Italy. Silvestro.micera@epfl.ch.
Translational Neural Engineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering, EPFL - Campus Biotech, Geneve, Switzerland. Silvestro.micera@epfl.ch.

Andrea Moro (A)

Neurocognition Epistemology and theoretical Syntax Research Center (NEtS), Scuola Universitaria Superiore IUSS, Pavia, Italy. andrea.moro@iusspavia.it.

Classifications MeSH