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首页> 外文期刊>Social cognitive and affective neuroscience >Happy you, happy me: expressive changes on a stranger's voice recruit faster implicit processes than self-produced expressions
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Happy you, happy me: expressive changes on a stranger's voice recruit faster implicit processes than self-produced expressions

机译:快乐你,快乐我:对陌生人的声音招募的表达变化比自我产生的表达更快的隐含过程

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摘要

In social interactions, people have to pay attention both to the what' and who'. In particular, expressive changes heard on speech signals have to be integrated with speaker identity, differentiating e.g. self- and other-produced signals. While previous research has shown that self-related visual information processing is facilitated compared to non-self stimuli, evidence in the auditory modality remains mixed. Here, we compared electroencephalography (EEG) responses to expressive changes in sequence of self- or other-produced speech sounds using a mismatch negativity (MMN) passive oddball paradigm. Critically, to control for speaker differences, we used programmable acoustic transformations to create voice deviants that differed from standards in exactly the same manner, making EEG responses to such deviations comparable between sequences. Our results indicate that expressive changes on a stranger's voice are highly prioritized in auditory processing compared to identical changes on the self-voice. Other-voice deviants generate earlier MMN onset responses and involve stronger cortical activations in a left motor and somatosensory network suggestive of an increased recruitment of resources for less internally predictable, and therefore perhaps more socially relevant, signals.
机译:在社交互动中,人们必须关注“和谁”。特别地,在语音信号上听到的表达变化必须与扬声器标识集成,差异化。自我和其他产生的信号。虽然以前的研究表明,与非自我刺激相比,促进了自相关的视觉信息处理,但听觉模态的证据保持混合。在这里,我们使用不匹配的消极性(MMN)被动古怪的范式来比较脑电图(EEG)响应对自我或其他产生的语音声音序列的表达变化。批判性地,为了控制扬声器差异,我们使用可编程声学变换来创建与完全相同的标准不同的语音偏差,使EEG响应序列之间的这种偏差。我们的结果表明,与自我语音相同的变化相比,陌生人声音的表现改变高度优先于听觉处理中。其他语音偏差生成早期的MMN发作响应,并涉及左电机和躯体感应网络中的更强烈的皮质激活,旨在增加对资源的增加,以便更少内部预测,因此可能更具社会相关的信号。

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