Language-Specific Tonal Features Drive Speaker-Listener Neural Synchronization

Area of Science:

• Neuroscience
• Linguistics
• Cognitive Science

Background:

• Neural synchronization (NS) is a proposed mechanism for successful verbal communication.
• Understanding which speech features drive NS and how language specifics influence information transfer is crucial.

Purpose of the Study:

• To investigate the contributions of acoustic and linguistic features to speaker-listener NS.
• To determine how language-specific features shape neural alignment during Mandarin speech exchange.

Main Methods:

• Developed a novel feature-based interbrain encoding modeling approach.
• Measured neural synchronization using magnetoencephalography (MEG) during Mandarin storytelling.
• Analyzed contributions of acoustic, segmental, and suprasegmental lexical tone features.

Main Results:

• Observed strong NS across frontotemporal-parietal networks with time lags.
• Suprasegmental lexical tones significantly drove NS more than acoustic or segmental features.
• NS patterns predicted listeners' comprehension of the storytelling.

Conclusions:

• Language-specific lexical tones are key drivers of interbrain neural alignment.
• This alignment facilitates effective information transfer and shared representations.
• Findings highlight the role of linguistic features in coordinating brain activity during communication.