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人类声音信号的分类依赖于一个整合的听觉-额皮质网络。

Categorizing human vocal signals depends on an integrated auditory-frontal cortical network.

机构信息

Department of Psychology, University of Zurich, Zurich, Switzerland.

Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.

出版信息

Hum Brain Mapp. 2021 Apr 1;42(5):1503-1517. doi: 10.1002/hbm.25309. Epub 2020 Dec 8.

Abstract

Voice signals are relevant for auditory communication and suggested to be processed in dedicated auditory cortex (AC) regions. While recent reports highlighted an additional role of the inferior frontal cortex (IFC), a detailed description of the integrated functioning of the AC-IFC network and its task relevance for voice processing is missing. Using neuroimaging, we tested sound categorization while human participants either focused on the higher-order vocal-sound dimension (voice task) or feature-based intensity dimension (loudness task) while listening to the same sound material. We found differential involvements of the AC and IFC depending on the task performed and whether the voice dimension was of task relevance or not. First, when comparing neural vocal-sound processing of our task-based with previously reported passive listening designs we observed highly similar cortical activations in the AC and IFC. Second, during task-based vocal-sound processing we observed voice-sensitive responses in the AC and IFC whereas intensity processing was restricted to distinct AC regions. Third, the IFC flexibly adapted to the vocal-sounds' task relevance, being only active when the voice dimension was task relevant. Forth and finally, connectivity modeling revealed that vocal signals independent of their task relevance provided significant input to bilateral AC. However, only when attention was on the voice dimension, we found significant modulations of auditory-frontal connections. Our findings suggest an integrated auditory-frontal network to be essential for behaviorally relevant vocal-sounds processing. The IFC seems to be an important hub of the extended voice network when representing higher-order vocal objects and guiding goal-directed behavior.

摘要

语音信号与听觉交流有关,被认为是在专门的听觉皮层(AC)区域进行处理的。尽管最近的报告强调了下额叶皮层(IFC)的额外作用,但对于 AC-IFC 网络的综合功能及其对语音处理的任务相关性的详细描述还很缺乏。使用神经影像学,我们在人类参与者专注于更高阶的语音维度(语音任务)或基于特征的强度维度(响度任务)的同时,测试了声音分类,同时听相同的声音材料。我们发现,根据任务的不同以及语音维度是否与任务相关,AC 和 IFC 的参与程度存在差异。首先,当我们将基于任务的神经语音处理与之前报告的被动听力设计进行比较时,我们在 AC 和 IFC 中观察到高度相似的皮质激活。其次,在基于任务的语音处理中,我们观察到 AC 和 IFC 中对语音敏感的反应,而强度处理则局限于特定的 AC 区域。第三,IFC 灵活地适应了语音的任务相关性,只有在语音维度与任务相关时才会活跃。第四,最后,连接建模显示,独立于任务相关性的语音信号为双侧 AC 提供了重要的输入。然而,只有当注意力集中在语音维度上时,我们才发现听觉-额叶连接的显著调制。我们的研究结果表明,一个集成的听觉-额叶网络对于行为相关的语音处理是必不可少的。当代表高阶语音对象并指导目标导向行为时,IFC 似乎是扩展语音网络的一个重要枢纽。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e0e/7927295/eba25f605508/HBM-42-1503-g001.jpg

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