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Reading Fluent Speech from Talking Faces: Typical Brain Networks and Individual Differences

机译:从会说话的面孔朗读语音:典型的大脑网络和个体差异

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摘要

Listeners are able to extract important linguistic information by viewing the talker's face—a process known as "speechreading." Previous studies of speechreading present small closed sets of simple words and their results indicate that visual speech processing engages a wide network of brain regions in the temporal, frontal, and parietal lobes that are likely to underlie multiple stages of the receptive language system. The present study further explored this network in a large group of subjects by presenting naturally spoken sentences which tap the richer complexities of visual speech processing. Four different baselines (blank screen, static face, nonlinguistic facial gurning, and auditory speech) enabled us to determine the hierarchy of neural processing involved in speechreading and to test the claim that visual input reliably accesses sound-based representations in the auditory cortex. In contrast to passively viewing a blank screen, the static-face condition evoked activation bilaterally across the border of the fusiform gyrus and cerebellum, and in the medial superior frontal gyrus and left precentral gyrus (p < .05, whole brain corrected). With the static face as baseline, the gurning face evoked bilateral activation in the motion-sensitive region of the occipital cortex, whereas visual speech additionally engaged the middle temporal gyrus, inferior and middle frontal gyri, and the inferior parietal lobe, particularly in the left hemisphere. These latter regions are implicated in lexical stages of spoken language processing. Although auditory speech generated extensive bilateral activation across both superior and middle temporal gyri, the group-averaged pattern of speechreading activation failed to include any auditory regions along the superior temporal gyrus, suggesting that fluent visual speech does not always involve sound-based coding of the visual input. An important finding from the individual subject analyses was that activation in the superior temporal gyrus did reach significance (p < .001, small-volume corrected) for a subset of the group. Moreover, the extent of the left-sided superior temporal gyrus activity was strongly correlated with speech-reading performance. Skilled speechreading was also associated with activations and deactivations in other brain regions, suggesting that individual differences reflect the efficiency of a circuit linking sensory, perceptual, memory, cognitive, and linguistic processes rather than the operation of a single component process.
机译:收听者可以通过查看说话者的脸来提取重要的语言信息,这一过程称为“语音朗读”。以前的语音阅读研究提出了简单单词的小封闭集合,其结果表明,视觉语音处理涉及颞叶,额叶和顶叶的广泛的大脑区域网络,这可能是接受语言系统的多个阶段的基础。本研究通过呈现自然口语的句子,进一步挖掘了网络中的大部分主题,这些句子挖掘了视觉语音处理的更复杂性。四种不同的基线(空白屏幕,静态面孔,非语言面部咕ur声和听觉语音)使我们能够确定语音朗读所涉及的神经处理的层次结构,并测试视觉输入可靠地访问了听觉皮层中基于声音的表示的主张。与被动查看空白屏幕相反,静态面部状态在梭形回和小脑的边界以及内侧上额回和左中前回的两侧引起激活(p <.05,全脑校正)。以静止面部为基准,该动作面部在枕皮质的运动敏感区域引起了双侧激活,而视觉语音还附加了颞中回,额中下回和额顶回以及顶叶下(尤其是左侧)半球。后面的区域与口语处理的词汇阶段有关。尽管听觉语音在上,颞颞回产生了广泛的双边激活,但是语音朗读激活的组平均模式未能包括上颞回的任何听觉区域,这表明流畅的视觉语音并不总是涉及基于声音的语音编码。视觉输入。个体受试者分析的一个重要发现是,对于该组的子集,颞上回的激活确实达到了显着性(p <.001,小体积校正)。此外,左侧颞上回活动的程度与语音阅读性能密切相关。熟练的语音朗读还与其他大脑区域的激活和失活相关,这表明个体差异反映了连接感觉,知觉,记忆,认知和语言过程的电路的效率,而不是单个组件过程的操作。

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