Literature DB >> 34296098

Distinct Neural Networks Relate to Common and Speaker-Specific Language Priors.

Leon O H Kroczek1, Thomas C Gunter2.   

Abstract

Effective natural communication requires listeners to incorporate not only very general linguistic principles which evolved during a lifetime but also other information like the specific individual language use of a particular interlocutor. Traditionally, research has focused on the general linguistic rules, and brain science has shown a left hemispheric fronto-temporal brain network related to this processing. The present fMRI research explores speaker-specific individual language use because it is unknown whether this processing is supported by similar or distinct neural structures. Twenty-eight participants listened to sentences of persons who used more easy or difficult language. This was done by manipulating the proportion of easy SOV vs. complex OSV sentences for each speaker. Furthermore, ambiguous probe sentences were included to test top-down influences of speaker information in the absence of syntactic structure information. We observed distinct neural processing for syntactic complexity and speaker-specific language use. Syntactic complexity correlated with left frontal and posterior temporal regions. Speaker-specific processing correlated with bilateral (right-dominant) fronto-parietal brain regions. Finally, the top-down influence of speaker information was found in frontal and striatal brain regions, suggesting a mechanism for controlled syntactic processing. These findings show distinct neural networks related to general language principles as well as speaker-specific individual language use.
© The Author(s) 2020. Published by Oxford University Press.

Entities:  

Keywords:  neuroimaging; prediction; speaker identity; syntax; top-down

Year:  2020        PMID: 34296098      PMCID: PMC8153046          DOI: 10.1093/texcom/tgaa021

Source DB:  PubMed          Journal:  Cereb Cortex Commun        ISSN: 2632-7376


  67 in total

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