This study used magnetoencephalography (MEG) to investigate the frequency-specific brain networks involved in continuous speech production and perception. The key findings are:
Connectivity analysis revealed distinct frequency channels for feedforward and feedback communication between cortical and subcortical regions during speech tasks.
In speech production, top-down signaling from higher-order cortical areas to auditory areas occurred in low frequencies (up to beta), while bottom-up signaling occurred in high frequencies (gamma).
The cerebellum played a significant role, showing connectivity to temporal areas in low frequencies during speech production, with the reverse pattern in high frequencies.
Subcortical regions, such as the thalamus and cerebellum, were found to be integral parts of the speech production and perception networks, with distinct frequency-specific interactions.
The findings suggest that cortico-cortical and cortico-subcortical predictions interact in speech networks, with the cerebellum potentially involved in predicting well-learned speech, while the cortex flexibly applies predictions in novel contexts.
The results highlight the importance of considering frequency-specific interactions between cortical and subcortical regions to understand the complex neural dynamics underlying speech processes.
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by Abba... 於 www.biorxiv.org 03-08-2024
https://www.biorxiv.org/content/10.1101/2024.03.05.583572v1深入探究