Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Brain Topogr. 2012 Jul;25(3):308-26. doi: 10.1007/s10548-012-0220-7. Epub 2012 Feb 25.
In recent years, it has become evident that neural responses previously considered to be unisensory can be modulated by sensory input from other modalities. In this regard, visual neural activity elicited to viewing a face is strongly influenced by concurrent incoming auditory information, particularly speech. Here, we applied an additive-factors paradigm aimed at quantifying the impact that auditory speech has on visual event-related potentials (ERPs) elicited to visual speech. These multisensory interactions were measured across parametrically varied stimulus salience, quantified in terms of signal to noise, to provide novel insights into the neural mechanisms of audiovisual speech perception. First, we measured a monotonic increase of the amplitude of the visual P1-N1-P2 ERP complex during a spoken-word recognition task with increases in stimulus salience. ERP component amplitudes varied directly with stimulus salience for visual, audiovisual, and summed unisensory recordings. Second, we measured changes in multisensory gain across salience levels. During audiovisual speech, the P1 and P1-N1 components exhibited less multisensory gain relative to the summed unisensory components with reduced salience, while N1-P2 amplitude exhibited greater multisensory gain as salience was reduced, consistent with the principle of inverse effectiveness. The amplitude interactions were correlated with behavioral measures of multisensory gain across salience levels as measured by response times, suggesting that change in multisensory gain associated with unisensory salience modulations reflects an increased efficiency of visual speech processing.
近年来,人们已经意识到,以前被认为是单一感觉的神经反应可以被来自其他感觉模式的感觉输入所调制。在这方面,观看人脸时引起的视觉神经活动受到来自其他感觉模式(尤其是言语)传入信息的强烈影响。在这里,我们应用了一种加性因素范式,旨在量化听觉言语对视觉言语诱发的视觉事件相关电位(ERP)的影响。这些多感觉相互作用是通过参数变化的刺激显著性来测量的,以信号噪声比来量化,从而为视听言语感知的神经机制提供新的见解。首先,我们在一个口语识别任务中测量了视觉 P1-N1-P2 ERP 复合体的幅度随刺激显著性的增加而单调增加。ERP 成分幅度与视觉、视听和总和单感觉记录的刺激显著性直接相关。其次,我们测量了跨显著性水平的多感觉增益变化。在视听言语中,与总和单感觉成分相比,P1 和 P1-N1 成分在显著性降低时表现出较少的多感觉增益,而 N1-P2 幅度在显著性降低时表现出更大的多感觉增益,这与反效原则一致。幅度相互作用与行为测量的多感觉增益相关,这些行为测量是通过反应时间来测量的,这表明与单感觉显著性调制相关的多感觉增益变化反映了视觉言语处理效率的提高。