Interpersonal Agreement and Disagreement During Face-to-Face Dialogue: An fNIRS Investigation.

Interpersonal Agreement and Disagreement During Face-to-Face Dialogue: An fNIRS Investigation.
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DOI:
10.3389/fnhum.2020.606397
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发表时间:
2020
影响因子:
2.9
通讯作者:
Biriotti M
Biriotti M
中科院分区:
医学3区
文献类型:
--
作者:
Hirsch J;Tiede M;Zhang X;Noah JA;Salama-Manteau A;Biriotti M

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尽管构成口语基础的神经系统是众所周知的,但它们如何适应自然对话中不断变化的社交线索仍然是一个未解之谜。在这项工作中,我们调查了两个人之间的面对面交谈的神经相关性,使用功能近红外光谱(fNIRS)和声学分析的同时录音。19对健康的成年人就两个有争议的话题进行了现场讨论,他们的观点要么一致,要么不一致。参与者匹配根据他们的先验意见,这些主题通过问卷调查进行评估。声学措施记录的讲话,包括基本频率范围内,中值基本频率,音节率和声能量升高,在不同意相对于协议。与先验意见评级和声学研究结果一致,与远程功能网络相关的神经活动,而不是规范语言区域,也被区分为两个条件。具体来说,额顶叶系统,包括双侧背外侧前额叶皮层,左缘上回,角回,和上级颞回表现出增加的活动,而在不同意。与此相反,在协议期间交谈的特点是增加活动的社会和注意力网络,包括右缘上回,双侧额叶眼场,左额极区。此外,这些社会和视觉注意力网络在达成一致时比在不同意时在大脑中更同步。而不是本地化调制的规范语言系统,这些发现是最一致的分布式和自适应的语言相关的过程,包括跨脑神经耦合,服务于动态的口头交流的模型。
Although the neural systems that underlie spoken language are well-known, how they adapt to evolving social cues during natural conversations remains an unanswered question. In this work we investigate the neural correlates of face-to-face conversations between two individuals using functional near infrared spectroscopy (fNIRS) and acoustical analyses of concurrent audio recordings. Nineteen pairs of healthy adults engaged in live discussions on two controversial topics where their opinions were either in agreement or disagreement. Participants were matched according to their a priori opinions on these topics as assessed by questionnaire. Acoustic measures of the recorded speech including the fundamental frequency range, median fundamental frequency, syllable rate, and acoustic energy were elevated during disagreement relative to agreement. Consistent with both the a priori opinion ratings and the acoustic findings, neural activity associated with long-range functional networks, rather than the canonical language areas, was also differentiated by the two conditions. Specifically, the frontoparietal system including bilateral dorsolateral prefrontal cortex, left supramarginal gyrus, angular gyrus, and superior temporal gyrus showed increased activity while talking during disagreement. In contrast, talking during agreement was characterized by increased activity in a social and attention network including right supramarginal gyrus, bilateral frontal eye-fields, and left frontopolar regions. Further, these social and visual attention networks were more synchronous across brains during agreement than disagreement. Rather than localized modulation of the canonical language system, these findings are most consistent with a model of distributed and adaptive language-related processes including cross-brain neural coupling that serves dynamic verbal exchanges.
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