Functional connectivity in a rhythmic inhibitory circuit using Granger causality.

Tilman Kispersky, Gabrielle J Gutierrez, Eve Marder
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Abstract

Background: Understanding circuit function would be greatly facilitated by methods that allow the simultaneous estimation of the functional strengths of all of the synapses in the network during ongoing network activity. Towards that end, we used Granger causality analysis on electrical recordings from the pyloric network of the crab Cancer borealis, a small rhythmic circuit with known connectivity, and known neuronal intrinsic properties.

Results: Granger causality analysis reported a causal relationship where there is no anatomical correlate because of the strong oscillatory behavior of the pyloric circuit. Additionally, we failed to find a direct relationship between synaptic strength and Granger causality in a set of pyloric circuit models.

Conclusions: We conclude that the lack of a relationship between synaptic strength and functional connectivity occurs because Granger causality essentially collapses the direct contribution of the synapse with the intrinsic properties of the postsynaptic neuron. We suggest that the richness of the dynamical properties of most biological neurons complicates the simple interpretation of the results of functional connectivity analyses using Granger causality.

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运用格兰杰因果关系研究节律性抑制回路的功能连通性。
背景:在正在进行的网络活动中,允许同时估计网络中所有突触的功能强度的方法将极大地促进理解电路功能。为此,我们对北蟹幽门网络的电记录进行了格兰杰因果分析,这是一个已知连接的小节奏电路,以及已知的神经元固有特性。结果:格兰杰因果分析报告了一个因果关系,其中没有解剖上的相关性,因为幽门回路的强振荡行为。此外,我们未能在一组幽门回路模型中发现突触强度和格兰杰因果关系之间的直接关系。结论:我们得出结论,突触强度和功能连通性之间缺乏关系的发生是因为格兰杰因果关系本质上破坏了突触与突触后神经元内在特性的直接贡献。我们认为,大多数生物神经元的动态特性的丰富性使得使用格兰杰因果关系对功能连接分析结果的简单解释变得复杂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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