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Neural generators underlying concurrent sound segregation

机译:同时发生声音隔离的神经发生器

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Although an object-based account of auditory attention has become an increasingly popular model for understanding how temporally overlapping sounds are segregated, relatively little is known about the cortical circuit that supports such ability. In the present study, we applied a beamformer spatial filter to magnetoencephalography (MEG) data recorded during an auditory paradigm that used inharmonicity to promote the formation of multiple auditory objects. Using this unconstrained, data-driven approach, the evoked field component linked with the perception of multiple auditory objects (i.e., the object-related negativity; ORNm), was found to be associated with bilateral auditory cortex sources that were distinct from those coinciding with the P1m, N1m, and P2m responses elicited by sound onset. The right hemispheric ORNm source in particular was consistently positioned anterior to the other sources across two experiments. These findings are consistent with earlier proposals of multiple auditory object detection being associated with generators in the auditory cortex and further suggest that these neural populations are distinct from the long latency evoked responses reflecting the detection of sound onset.
机译:尽管基于对象的听觉注意力说明已成为一种越来越流行的模型,用于理解时间上重叠的声音是如何分离的,但对于支持这种能力的皮层回路知之甚少。在本研究中,我们将波束形成器空间滤波器应用于在听觉范例期间使用不谐和性促进多个听觉对象形成的磁脑图(MEG)数据。使用这种不受限制的,数据驱动的方法,与多个听觉对象的感知相关的诱发场成分(即,与对象相关的负性; ORNm)被发现与双侧听觉皮层源相关,而这些听觉皮层源与声音开始引起的P1m,N1m和P2m响应。在两个实验中,特别是右半球ORNm源始终位于其他源之前。这些发现与与听觉皮层中的产生器相关的多听觉对象检测的早期提议是一致的,并且进一步表明这些神经群体不同于反映声音发作检测的长等待时间诱发反应。

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