首页> 外文会议>International Conference on Soft Computing and Intelligent Systems;SCIS;International Symposium on Advanced Intelligent Systems;ISIS >Granger causality analysis of state dependent functional connectivity of neurons in orofacial motor cortex during chewing and swallowing
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Granger causality analysis of state dependent functional connectivity of neurons in orofacial motor cortex during chewing and swallowing

机译:咀嚼和吞咽过程中口面运动皮层神经元状态依赖的功能连通性的格兰杰因果关系分析

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Primate feeding behavior is characterized by a series of jaw movement cycles of different types making it ideal for investigating the role of motor cortex in controlling transitions between different kinematic states. We recorded spiking activity in populations of neurons in the orofacial portion of primary motor cortex (MIo) of a macaque monkey and, using a Granger causality model, estimated their functional connectivity during transitions between chewing cycles and from chewing to swallowing cycles. We found that during rhythmic chewing, the network was dominated by excitatory connections and exhibited a few “out degree” hub neurons, while during transitions from rhythmic chews to swallows, the numbers of excitatory and inhibitory connections became comparable, and more temporarily varying “in degree” hub neurons emerged. Furthermore, based on shared connections between neurons between different networks, networks from same state transitions were quantitatively shown to be more similar. These results suggest that networks of functionally connected neurons in MIo change their operative states with changes in kinematically defined behavioral states.
机译:灵长类动物的进食行为具有一系列不同类型的颚运动周期,因此非常适合研究运动皮层在控制不同运动状态之间的过渡中的作用。我们记录了猕猴的初级运动皮层(MIo)口面部神经元种群的突触活动,并使用Granger因果模型估算了它们在咀嚼周期之间以及从咀嚼到吞咽周期之间的过渡过程中的功能连通性。我们发现,在有规律的咀嚼过程中,该网络以兴奋性连接为主,并表现出一些“过度”的枢纽神经元,而在从有规律的咀嚼到吞咽的过渡过程中,兴奋性和抑制性连接的数量变得可比,并且在“暂时性”变化度”的中枢神经元出现了。此外,基于不同网络之间神经元之间的共享连接,定量显示来自相同状态转换的网络更加相似。这些结果表明,MIo中功能连接的神经元网络会随着运动学定义的行为状态的改变而改变其操作状态。

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