Pattern Motion Selectivity of Spiking Outputs and Local Field Potentials in Macaque Visual Cortex
Pattern Motion Selectivity of Spiking Outputs and Local Field Potentials in Macaque Visual Cortex
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DOI：
10.1523/jneurosci.2844-09.2009
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发表时间：
2009-10-28
影响因子：
5.3
通讯作者：
Pack, Christopher C.
中科院分区：
文献类型：
--
作者：
Khawaja, Farhan A.;Tsui, James M. G.;Pack, Christopher C.
灵长类动物视觉皮层的背侧通路参与对感知和行为有用的运动信号的处理。沿着这条通路，运动信息首先由初级视觉皮层（V1）测量，它将专门的投影发送到皮层外区域，如中颞叶区（MT）。先前对格子刺激的研究表明，大多数V1神经元对运动刺激的单个成分做出反应，而一些MT神经元能够估计图案的整体运动。在这项工作中，我们证明了内侧颞上区（MST）的大多数神经元具有这种模式选择特性，其中内侧颞上区接收来自MT的输入。有趣的是，与尖峰同时测量的局部场电位（LFPs）通常表现出与每个区域的假定前馈输入相似的特性：在高伽马频段，MST中的LFPs与MT的尖峰输出一样具有分量选择性，MT的LFPs具有与V1的尖峰输出相似的格子响应。在较低的LFP频带（β和低γ）中，分量选择性非常普遍，而在MT和MST中几乎完全没有模式选择性。总之，这些结果表明，皮层lfp的感觉调节与传入输入之间存在着惊人的紧密联系，这对成像研究和皮层功能模型的解释具有重要意义。
The dorsal pathway of the primate visual cortex is involved in the processing of motion signals that are useful for perception and behavior. Along this pathway, motion information is first measured by the primary visual cortex (V1), which sends specialized projections to extrastriate regions such as the middle temporal area (MT). Previous work with plaid stimuli has shown that most V1 neurons respond to the individual components of moving stimuli, whereas some MT neurons are capable of estimating the global motion of the pattern. In this work, we show that the majority of neurons in the medial superior temporal area (MST), which receives input from MT, have this pattern-selective property. Interestingly, the local field potentials (LFPs) measured simultaneously with the spikes often exhibit properties similar to that of the presumptive feedforward input to each area: in the high-gamma frequency band, the LFPs in MST are as component selective as the spiking outputs of MT, and MT LFPs have plaid responses that are similar to the spiking outputs of V1. In the lower LFP frequency bands (beta and low gamma), component selectivity is very common, and pattern selectivity is almost entirely absent in both MT and MST. Together, these results suggest a surprisingly strong link between the sensory tuning of cortical LFPs and afferent inputs, with important implications for the interpretation of imaging studies and for models of cortical function.