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Neural Networks Supporting Audiovisual Integration for Speech: A Large-Scale Lesion Study

机译:支持语音视听集成的神经网络:大规模病变研究

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摘要

Auditory and visual speech information are often strongly integrated resulting in perceptual enhancements for audiovisual (AV) speech over audio alone and sometimes yielding compelling illusory fusion percepts when AV cues are mismatched, the McGurk-MacDonald effect. Previous research has identified three candidate regions thought to be critical for AV speech integration: the posterior superior temporal sulcus (STS), early auditory cortex, and the posterior inferior frontal gyrus. We assess the causal involvement of these regions (and others) in the first large-scale (N=100) lesion-based study of AV speech integration. Two primary findings emerged. First, behavioral performance and lesion maps for AV enhancement and illusory fusion measures indicate that classic metrics of AV speech integration are not necessarily measuring the same process. Second, lesions involving superior temporal auditory, lateral occipital visual, and multisensory zones in the STS are the most disruptive to AV speech integration. Further, when AV speech integration fails, the nature of the failure—auditory vs. visual capture—can be predicted from the location of the lesions. These findings show that AV speech processing is supported by unimodal auditory and visual cortices as well as multimodal regions such as the STS at their boundary. Motor related frontal regions do not appear to play a role in AV speech integration.
机译:听觉和视觉语音信息通常紧密集成在一起,从而导致视听(AV)语音的感知能力比单独的音频增强,并且当AV线索不匹配时,有时会产生令人信服的虚幻融合感知,这就是McGurk-MacDonald效应。先前的研究已经确定了三个对AV语音整合至关重要的候选区域:后颞上颞沟(STS),早期听觉皮层和后下额回。在第一个基于大规模(N = 100)病灶的视听语音整合研究中,我们评估了这些区域(及其他)的因果关系。出现了两个主要发现。首先,用于AV增强和虚幻融合测量的行为表现和病变图表明,AV语音集成的经典指标不一定测量同一过程。其次,STS中涉及颞上听觉,枕后外侧视觉和多感觉区的病变对AV语音整合的破坏最大。此外,当AV语音整合失败时,可以从病变的位置预测失败的性质(听觉与视觉捕捉)。这些发现表明,单峰听觉和视觉皮层以及多峰区域(例如STS)在其边界处支持AV语音处理。运动相关的额叶区域似乎没有在AV语音整合中发挥作用。

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