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Neural bases of social communicative intentions in speech

机译:言语中社会交际意图的神经基础

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Our ability to understand others' communicative intentions in speech is key to successful social interaction. Indeed, misunderstanding an 'excuse me' as apology, while meant as criticism, may have important consequences. Recent behavioural studies have provided evidence that prosody, that is, vocal tone, is an important indicator for speakers' intentions. Using a novel audio-morphing paradigm, the present functional magnetic resonance imaging study examined the neurocognitive mechanisms that allow listeners to 'read' speakers' intents from vocal prosodic patterns. Participants categorized prosodic expressions that gradually varied in their acoustics between criticism, doubt, and suggestion. Categorizing typical exemplars of the three intentions induced activations along the ventral auditory stream, complemented by amygdala and mentalizing system. These findings likely depict the stepwise conversion of external perceptual information into abstract prosodic categories and internal social semantic concepts, including the speaker's mental state. Ambiguous tokens, in turn, involved cingulo-opercular areas known to assist decision-making in case of conflicting cues. Auditory and decision-making processes were flexibly coupled with the amygdala, depending on prosodic typicality, indicating enhanced categorization efficiency of overtly relevant, meaningful prosodic signals. Altogether, the results point to a model in which auditory prosodic categorization and socio-inferential conceptualization cooperate to translate perceived vocal tone into a coherent representation of the speaker's intent.
机译:我们理解别人在言论中的交际意图的能力是成功社交互动的关键。实际上,误解了“对不起”作为道歉的,而批评则可能具有重要的后果。最近的行为研究提供了证据,即韵律,即声音,是发言者意图的重要指标。使用新型音频变形范例,目前的功能磁共振成像研究检查了神经认知机制,使听众从声乐韵律模式读取“读取”扬声器的意图。与会者分类为批评,怀疑和建议之间的声学​​逐渐变化的韵律表达。对腹侧听觉流的三种意图诱导激活的典型示例,由Amygdala和Mentential System补充。这些发现可能将外部感知信息的逐步转换为抽象韵律类别和内部社会语义概念,包括扬声器的精神状态。反过来,暧昧的代币涉及着名的幂曲面,以协助提示冲突的决策。根据韵律典型性,听觉和决策过程灵活地与Amygdala相结合,表明具有明显相关的有意义的韵律信号的增强分类效率。完全,结果指出了一个模型,其中听觉韵律分类和社会推理概念化协作将被感知的声音转化为扬声器意图的连贯表示。

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