Inserm U, CNRS UMR, Sorbonne Université UMR S, Institut du Cerveau et de la Moelle épinière, Social and Affective Neuroscience Lab, Paris, France.
Science & Technology of Music and Sound, UMR (CNRS/IRCAM/Sorbonne Université), Paris, France.
Soc Cogn Affect Neurosci. 2019 May 31;14(5):559-568. doi: 10.1093/scan/nsz030.
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.
在社交互动中，人们必须同时关注“内容”和“说话者”。特别是，人们必须将言语信号中的表情变化与说话者的身份联系起来，例如区分自我和他人产生的信号。虽然先前的研究表明，与非自我刺激相比，自我相关的视觉信息处理更为容易，但听觉模态的证据仍然存在分歧。在这里，我们使用失匹配负波（MMN）被动Oddball 范式比较了自我或他人产生的言语声音序列中的表情变化的脑电图（EEG）反应。关键是，为了控制说话者的差异，我们使用可编程的声学变换来创建语音变体，这些变体与标准在完全相同的方面有所不同，从而使此类变异性之间的 EEG 反应具有可比性。我们的结果表明，与自我声音的相同变化相比，陌生人声音上的表情变化在听觉处理中被高度优先处理。其他声音变体产生更早的 MMN 起始反应，并在左侧运动和躯体感觉网络中引起更强的皮层激活，这表明为不太可预测的内部信号（因此可能更具社交相关性）分配了更多的资源。
