4.7 Article

Theta-gamma phase-amplitude coupling in auditory cortex is modulated by language proficiency

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HUMAN BRAIN MAPPING
卷 -, 期 -, 页码 -

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WILEY
DOI: 10.1002/hbm.26250

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brain oscillations; cross-frequency coupling; foreign language learning; magnetoencephalography; top-down modulations

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Theta-gamma phase-amplitude coupling in the auditory cortex is modulated by the challenges of processing non-native speech, with beginners showing the lowest coordination and advanced learners showing the highest. This highlights the importance of theta-gamma oscillatory activity in speech comprehension.
The coordination between the theta phase (3-7 Hz) and gamma power (25-35 Hz) oscillations (namely theta-gamma phase-amplitude coupling, PAC) in the auditory cortex has been proposed as an essential neural mechanism involved in speech processing. However, it has not been established how this mechanism is related to the efficiency with which a listener processes speech. Speech processing in a non-native language offers a useful opportunity to evaluate if theta-gamma PAC is modulated by the challenges imposed by the reception of speech input in a non-native language. The present study investigates how auditory theta-gamma PAC (recorded with magnetoencephalography) is modulated in both native and non-native speech reception. Participants were Spanish native (L1) speakers studying Basque (L2) at three different levels: beginner (Grade 1), intermediate (Grade 2), and advanced (Grade 3). We found that during L2 speech processing (i) theta-gamma PAC was more highly coordinated for intelligible compared to unintelligible speech; (ii) this coupling was modulated by proficiency in Basque being lower for beginners, higher for intermediate, and highest for advanced speakers (no difference observed in Spanish); (iii) gamma power did not differ between languages and groups. These findings highlight how the coordinated theta-gamma oscillatory activity is tightly related to speech comprehension: the stronger this coordination is, the more the comprehension system will proficiently parse the incoming speech input.

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