Different Neural Frequency Bands Integrate Faces and Voices Differently in the Superior Temporal Sulcus
Different Neural Frequency Bands Integrate Faces and Voices Differently in the Superior Temporal Sulcus
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DOI：
10.1152/jn.90843.2008
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发表时间：
2009-02-01
影响因子：
2.5
通讯作者：
Ghazanfar, Asif A.
中科院分区：
文献类型：
--
作者：
Chandrasekaran, Chandramouli;Ghazanfar, Asif A.
Woman C，Ghazanfar AA.不同的神经频带在上级颞沟整合面孔和声音的方式不同。神经生理学杂志101：773-788，2009年。首次发表于2008年11月26日; doi：10.1152/jn.90843.2008。语音面对面交流的默认模式要求听觉和视觉信息的整合。功能磁共振成像和电生理研究表明，上级颞沟（STS）内及其周围区域参与了这一过程。为了提供更深入的了解网络级动态的STS在视听整合，我们使用猕猴模型系统来分析不同的频带的局部场电位（LFP）响应的听觉和视觉成分的发声。这些发声（如人类语言）在可见的嘴部运动的开始和声音的开始之间有一个自然的时间延迟（“发声时间”或TTV）。我们表明，对面部和声音的LFP反应在theta（4-8 Hz）、alpha（8-14 Hz）和gamma（>40 Hz）频率范围内引起不同的活动频带。沿着单个神经元的反应，面部刺激的伽马带活动比语音刺激的更大。令人惊讶的是，低频带的情况正好相反--听觉反应的幅度更大。此外，STS中的伽马波段反应持续动态的面孔，但不是这样的声音（相反的是真实的听觉皮层）。这些数据表明，在STS中，视觉和听觉刺激以根本不同的方式进行处理。最后，我们发现，这三个波段集成的面孔和声音不同：θ波段活动表现出弱的多感官行为，无论TTV，α波段活动增强短TTV的电话，但显示出很小的集成较长的TTV，最后，γ波段活动始终增强所有TTV。这些数据表明，来自STS的LFP活动可以被分离到不同的频带中，这些频带以独立的方式整合视听通信信号。这些不同的频带可以反映在面对面通信期间网络处理的不同空间尺度。
Chandrasekaran C, Ghazanfar AA. Different neural frequency bands integrate faces and voices differently in the superior temporal sulcus. J Neurophysiol 101: 773-788, 2009. First published November 26, 2008; doi:10.1152/jn.90843.2008. The integration of auditory and visual information is required for the default mode of speech face- to-face communication. As revealed by functional magnetic resonance imaging and electrophysiological studies, the regions in and around the superior temporal sulcus (STS) are implicated in this process. To provide greater insights into the network-level dynamics of the STS during audiovisual integration, we used a macaque model system to analyze the different frequency bands of local field potential (LFP) responses to the auditory and visual components of vocalizations. These vocalizations (like human speech) have a natural time delay between the onset of visible mouth movements and the onset of the voice (the "time-to-voice" or TTV). We show that the LFP responses to faces and voices elicit distinct bands of activity in the theta (4-8 Hz), alpha (8-14 Hz), and gamma (>40 Hz) frequency ranges. Along with single neuron responses, the gamma band activity was greater for face stimuli than voice stimuli. Surprisingly, the opposite was true for the low-frequency bands-auditory responses were of a greater magnitude. Furthermore, gamma band responses in STS were sustained for dynamic faces but not so for voices (the opposite is true for auditory cortex). These data suggest that visual and auditory stimuli are processed in fundamentally different ways in the STS. Finally, we show that the three bands integrate faces and voices differently: theta band activity showed weak multisensory behavior regardless of TTV, the alpha band activity was enhanced for calls with short TTVs but showed little integration for longer TTVs, and finally, the gamma band activity was consistently enhanced for all TTVs. These data demonstrate that LFP activity from the STS can be segregated into distinct frequency bands which integrate audiovisual communication signals in an independent manner. These different bands may reflect different spatial scales of network processing during face-to-face communication.