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The connectivity signature of co-speech gesture integration: The superior temporal sulcus modulates connectivity between areas related to visual gesture and auditory speech processing

机译:共同语音手势集成的连接签名:卓越的时间轴来调制与视觉手势和听觉语音处理相关的区域之间的连接

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摘要

Humans integrate information communicated by speech and gestures. Functional magnetic resonance imaging (fMRI) studies suggest that the posterior superior temporal sulcus (STS) and adjacent gyri are relevant for multisensory integration. However, a connectivity model representing this essential combinatory process is still missing. Here, we used dynamic causal modeling for fMRI to analyze the effective connectivity pattern between middle temporal gyrus (MTG), occipital cortex (OC) and STS associated with auditory verbal, visual gesture-related, and integrative processing, respectively, to unveil the neural mechanisms underlying integration of intrinsically meaningful gestures (e.g., “Thumbs-up gesture”) and corresponding speech.20 participants were presented videos of an actor either performing intrinsic meaningful gestures in the context of German or Russian sentences, or speaking a German sentence without gesture, while performing a content judgment task.The connectivity analyses resulted in a winning model that included bidirectional intrinsic connectivity between all areas. Furthermore, the model included modulations of both connections to the STS (OC→STS; MTG→STS), and non-linear modulatory effects of the STS on bidirectional connections between MTG and OC. Coupling strength in the occipital pathway (OC→STS) correlated with gesture related advantages in task performance, whereas the temporal pathway (MTG→STS) correlated with performance in the speech only condition. Coupling between MTG and OC correlated negatively with subsequent memory performance for sentences of the Gesture-German condition.Our model provides a first step towards a better understanding of speech-gesture integration on network level. It corroborates the importance of the STS during audio-visual integration by showing that this region inhibits direct auditory-visual coupling.
机译:人类通过语音和手势进行整合信息。功能性磁共振成像(FMRI)研究表明,后颞轴(STS)和相邻的Gyri与多福音型集成相关。然而,代表这种基本组合过程的连接模型仍然缺失。在这里,我们使用了FMRI的动态因果模型,分析了中间颞升(MTG),枕骨皮层(OC)和STS与听觉口头,视觉姿态相关和综合处理相关的有效连通模式,以揭示神经网络内在有意义的手势整合的机制(例如,“竖起大拇指姿态”)和相应的演讲.20参与者在德国或俄罗斯句子的背景下呈现了演员的视频,或者在没有手势的情况下演讲德国句子,同时执行内容判断任务。连接性分析导致获胜模型,其中包括所有区域之间的双向内联连接。此外,该模型包括与STS(OC→STS; MTG→STS)的连接的调制以及STS在MTG和OC之间的双向连接上的非线性调制效果。枕骨途径中的耦合强度(OC→STS)与手势相关优势相关的任务性能,而颞尾(MTG→STS)与语音中的性能相关联。 MTG和OC之间的耦合负相关,对手势 - 德语条件的句子的后续内存性能。我们的模型提供了更好地理解网络级别的语音集成的第一步。它通过表明该区域抑制直接听觉视觉耦合,证实了在视听集成期间STS的重要性。

著录项

  • 来源
    《NeuroImage》 |2018年第2018期|共11页
  • 作者单位

    Translational Neuroimaging Marburg (TNM) Department of Psychiatry and Psychotherapy Philipps;

    Translational Neuroimaging Marburg (TNM) Department of Psychiatry and Psychotherapy Philipps;

    Center for Mind Brain and Behavior - CMBB Philipps-University Marburg;

    Translational Neuroimaging Marburg (TNM) Department of Psychiatry and Psychotherapy Philipps;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 诊断学;
  • 关键词

    fMRI; DCM; Multisensory-integration; Gesture; Speech;

    机译:FMRI;DCM;多思索集成;手势;言语;
  • 入库时间 2022-08-19 17:33:31

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