Multimodal contribution to speech perception revealed by independent component analysis: a single-sweep EEG case study
Multimodal contribution to speech perception revealed by independent component analysis: a single-sweep EEG case study
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DOI：
10.1016/s0926-6410(00)00054-9
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发表时间：
2001-01-01
期刊：
影响因子：
--
通讯作者：
Vatikiotis-Bateson, E
中科院分区：
文献类型：
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作者：
Callan, DE;Callan, AM;Vatikiotis-Bateson, E
在这项单次扫描脑电图案例研究中，通过可视化与音频语音信号一致的面部运动，使用独立成分分析（ICA）来研究增强噪声中语音清晰度（对于单音节英语单词）的多模态过程。单次扫描 IC 激活波形的小波分析揭示了视觉增强效果背后的两个 IC 的高频能量增加。对于一种 ICI 电流源密度分析，局部活动主要集中在颞上回，与多模态积分的原理一致。对于另一个 IC，活动分布在多个皮质区域，这可能反映了视觉增强效果背后的全局映射。 (C) 2001 Elsevier Science B.V. 保留所有权利。
In this single-sweep electroencephalographic case study, independent component analysis (ICA) was used to investigate multimodal processes underlying the enhancement of speech intelligibility in noise (for monosyllabic English words) by visualizing facial motion concordant with the audio speech signal. Wavelet analysis of the single-sweep IC activation waveforms revealed increased high-frequency energy for two ICs underlying the visual enhancement effect. For one ICI current source density analysis localized activity mainly to the superior temporal gyrus, consistent with principles of multimodal integration. For the other IC, activity was distributed across multiple cortical areas perhaps reflecting global mappings underlying the visual enhancement effect. (C) 2001 Elsevier Science B.V. All rights reserved.