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快速确定对伪词刺激中语言和情感相关变化的失匹配负波(MMN)和P3a反应。

Fast determination of MMN and P3a responses to linguistically and emotionally relevant changes in pseudoword stimuli.

作者信息

Pakarinen Satu, Sokka Laura, Leinikka Marianne, Henelius Andreas, Korpela Jussi, Huotilainen Minna

机构信息

Finnish Institute of Occupational Health, Helsinki, Finland.

Finnish Institute of Occupational Health, Helsinki, Finland.

出版信息

Neurosci Lett. 2014 Aug 8;577:28-33. doi: 10.1016/j.neulet.2014.06.004. Epub 2014 Jun 11.

Abstract

We developed a new multi-feature mismatch negativity (MMN) paradigm with two improvements: Firstly, the standard tone, a pseudoword /ta-ta/ was presented with equal probability to the nine linguistically relevant deviants, reducing the recording time by 45%. Secondly, three rare, emotionally valenced stimuli: happy, angry, and sad utterances of the standard pseudoword were included in the sequence. MMN signals reflecting the perceptual properties of the sounds were observed for all stimuli. In addition, P3a signals were observed for the rare emotionally uttered pseudowords. This 28-min paradigm allows a multi-dimensional evaluation of central speech-sound representations (MMN), and attention allocation (P3a) to emotional information content of speech. We recommend this paradigm for studies on subject groups with impairments in language or emotional information processing, such as autism spectrum disorders, attention disorders, and alexithymia.

摘要

我们开发了一种新的多特征失配负波(MMN)范式,有两点改进:第一,标准音调,一个伪词/ta-ta/与九个语言相关的偏差刺激以相等的概率呈现,将记录时间减少了45%。第二,序列中包含了三种罕见的、带有情感效价的刺激:标准伪词的高兴、愤怒和悲伤的发声。对所有刺激都观察到了反映声音感知特性的MMN信号。此外,对于罕见的带有情感发声的伪词观察到了P3a信号。这种28分钟的范式允许对中枢语音表征(MMN)以及对语音情感信息内容的注意力分配(P3a)进行多维度评估。我们推荐这种范式用于研究语言或情感信息处理有障碍的受试者群体,如自闭症谱系障碍、注意力障碍和述情障碍。

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