Processing of sound location in human cortex

Processing of sound location in human cortex
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DOI:
10.1111/j.1460-9568.2008.06094.x
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发表时间:
2008-03-01
影响因子:
3.4
通讯作者:
Meister, Ingo G.
Meister, Ingo G.
中科院分区:
医学3区
文献类型:
--
作者:
Lewald, Joerg;Riederer, Klaus A. J.;Meister, Ingo G.

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这项功能磁共振成像研究的重点是人类听觉空间知觉的神经基础。为了向受试者呈现自然的声音位置,使用了与个体头部相关的传递函数卷积的声刺激。通过声位对比和相互作用的分析,激活灶形成了一个复杂的网络,包括颞叶前后区、后顶叶皮质、背外侧前额叶皮质和额叶下部皮质。这个网络的独特地形是不同的激活和去激活模式的结果,这取决于声音在各个体素中的位置。这些模式表明,听觉空间信息的处理有不同程度的复杂性,从初级听觉皮质周围区域的简单左/右辨别开始,而关于声音半空间和偏心率的信息整合可能发生在较晚的阶段。激活被认为位于分别与空间和非空间声音特征分析有关的背侧和腹侧听皮质流的区域。腹侧流激活的发现一方面反映了众所周知的听觉频谱分析的功能二重性,即基于位置(由于头部和耳廓引起的频谱扭曲)和声源的频谱特征同时提取信息。另一方面,这一结果可能表明共享神经网络的存在,该网络对用于声源定位和识别的听觉“高阶”线索进行分析。
This functional magnetic resonance imaging study was focused on the neural substrates underlying human auditory space perception. In order to present natural-like sound locations to the subjects, acoustic stimuli convolved with individual head-related transfer functions were used. Activation foci, as revealed by analyses of contrasts and interactions between sound locations, formed a complex network, including anterior and posterior regions of temporal lobe, posterior parietal cortex, dorsolateral prefrontal cortex and inferior frontal cortex. The distinct topography of this network was the result of different patterns of activation and deactivation, depending on sound location, in the respective voxels. These patterns suggested different levels of complexity in processing of auditory spatial information, starting with simple left/right discrimination in the regions surrounding the primary auditory cortex, while the integration of information on hemispace and eccentricity of sound may take place at later stages. Activations were identified as being located in regions assigned to both the dorsal and ventral auditory cortical streams, that are assumed to be preferably concerned with analysis of spatial and non-spatial sound features, respectively. The finding of activations also in the ventral stream could, on the one hand, reflect the well-known functional duality of auditory spectral analysis, that is, the concurrent extraction of information based on location (due to the spectrotemporal distortions caused by head and pinnae) and spectral characteristics of a sound source. On the other hand, this result may suggest the existence of shared neural networks, performing analyses of auditory 'higher-order' cues for both localization and identification of sound sources.