大腦皮層語音噪音處理反映皮層下音節編碼與詞彙注意

// Cortical speech-in-noise processing reflects subcortical syllable encoding and lexical attention

本研究探討皮層下語音編碼與詞彙注意力如何影響腦皮層語音表徵，透過神經訊號雜訊比（SNR）量測｜結果顯示神經SNR與行為性語音噪音辨識表現相關，且感覺編碼與自上而下注意力獨立預測神經SNR｜兩者綜合解釋個體在噪音環境中語音理解的差異，顯示神經SNR反映加成性感覺與注意力過程，對噪音下語音辨識至關重要。

// This study investigated how subcortical speech encoding and lexical attention influence cortical representation of speech in noise, measured by neural signal-to-noise ratio (SNR). Results showed neural SNR correlated with behavioral speech-in-noise performance, with both sensory encoding and top-down attention independently predicting neural SNR. Together, these factors explained individual differences in speech-in-noise perception. The findings suggest neural SNR reflects combined sensory and attentional processes critical for understanding speech in noisy environments.

Published 2026年8月11日