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  Neural dynamics differentially encode phrases and sentences during spoken language comprehension

Bai, F., Meyer, A. S., & Martin, A. E. (2022). Neural dynamics differentially encode phrases and sentences during spoken language comprehension. PLoS Biology, 20(7): e3001713. doi:10.1371/journal.pbio.3001713.

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© 2022 Bai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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phrase–sentence pairs
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 Urheber:
Bai, Fan1, 2, Autor           
Meyer, Antje S.1, 3, Autor           
Martin, Andrea E.3, 4, Autor           
Affiliations:
1Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792545              
2International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
3Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
4Language and Computation in Neural Systems, MPI for Psycholinguistics, Max Planck Society, ou_3217300              

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 Zusammenfassung: Human language stands out in the natural world as a biological signal that uses a structured system to combine the meanings of small linguistic units (e.g., words) into larger constituents (e.g., phrases and sentences). However, the physical dynamics of speech (or sign) do not stand in a one-to-one relationship with the meanings listeners perceive. Instead, listeners infer meaning based on their knowledge of the language. The neural readouts of the perceptual and cognitive processes underlying these inferences are still poorly understood. In the present study, we used scalp electroencephalography (EEG) to compare the neural response to phrases (e.g., the red vase) and sentences (e.g., the vase is red), which were close in semantic meaning and had been synthesized to be physically indistinguishable. Differences in structure were well captured in the reorganization of neural phase responses in delta (approximately <2 Hz) and theta bands (approximately 2 to 7 Hz),and in power and power connectivity changes in the alpha band (approximately 7.5 to 13.5 Hz). Consistent with predictions from a computational model, sentences showed more power, more power connectivity, and more phase synchronization than phrases did. Theta–gamma phase–amplitude coupling occurred, but did not differ between the syntactic structures. Spectral–temporal response function (STRF) modeling revealed different encoding states for phrases and sentences, over and above the acoustically driven neural response. Our findings provide a comprehensive description of how the brain encodes and separates linguistic structures in the dynamics of neural responses. They imply that phase synchronization and strength of connectivity are readouts for the constituent structure of language. The results provide a novel basis for future neurophysiological research on linguistic structure representation in the brain, and, together with our simulations, support time-based binding as a mechanism of structure encoding in neural dynamics.

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Sprache(n): eng - English
 Datum: 2022-07-14
 Publikationsstatus: Online veröffentlicht
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1371/journal.pbio.3001713
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Titel: PLoS Biology
  Andere : PLoS Biol.
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: San Francisco, California, US : Public Library of Science
Seiten: - Band / Heft: 20 (7) Artikelnummer: e3001713 Start- / Endseite: - Identifikator: ISSN: 1544-9173
CoNE: https://pure.mpg.de/cone/journals/resource/111056649444170