範疇感知的特定領域缺損揭示失智症中聽覺失認的神經結構

// Domain-specific deficits in categorical perception unveil the neural architecture of auditory agnosia in dementia

本研究利用腦電圖（EEG）與語音類別辨識任務，探討阿茲海默症（AD）患者聽覺處理缺陷｜發現動作反應普遍變慢，但對快速子音訊號的辨識精準度顯著下降，穩定音調處理則無影響｜神經生理數據顯示臨床組腦部過度活化由補償性轉為效率低下，且時間處理延遲｜機器學習模型結合EEG特徵，有效區分輕度認知障礙（MCI）與健康老化，具早期篩檢潛力。

// This study investigated auditory processing deficits in Alzheimer's disease using EEG and a categorical perception task comparing rapid consonant and stable tone cues across healthy aging, MCI, and AD. Results showed psychomotor slowing was general, but categorical precision declined specifically for rapid consonant cues while tone processing remained stable. Neurophysiological data revealed a shift from compensatory to inefficient brain hyper-activation with delayed temporal processing in clinical groups. Machine learning models using EEG features effectively distinguished MCI from healthy aging, demonstrating potential for early dementia screening.

Published 2026年8月26日