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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:快乐我快乐:陌生人语音的表达变化比自发表达更快地隐含过程

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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,人们必须同时注意“什么”和“谁”。特别地,语音信号上听到的表达变化必须与说话者身份集成在一起,以区分例如自身和其他产生的信号。尽管先前的研究表明,与非自我刺激相比,与自我相关的视觉信息处理更为便利,但听觉方式中的证据仍然混杂。在这里,我们使用失配负性(MMN)被动奇数球范式比较了脑电图(EEG)对自发或其他人产生的语音序列表达变化的响应。至关重要的是,为了控制说话者的差异,我们使用了可编程的声学变换来创建与标准完全不同的语音偏离,从而使EEG对此类偏差的响应在序列之间具有可比性。我们的结果表明,与自我语音的相同变化相比,在听觉处理中,陌生人声音的表达变化具有较高的优先级。其他声音异常会产生较早的MMN发作反应,并在左运动和体感网络中涉及更强的皮层激活,这表明增加了对内部可预测性较低,因此可能与社会相关的信号的资源募集。

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