Decomposing neural synchrony: toward an explanation for near-zero phase-lag in cortical oscillatory networks.
Decomposing neural synchrony: toward an explanation for near-zero phase-lag in cortical oscillatory networks.
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DOI：
10.1371/journal.pone.0003649
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发表时间：
2008
期刊：
影响因子：
3.7
通讯作者：
Ding M
中科院分区：
文献类型：
--
作者：
Rajagovindan R;Ding M
皮层网络的同步振荡被认为是多种功能的机制，从知觉结合到记忆形成再到感觉运动整合。伴随同步而来的是在网络组件之间经常观察到的接近于零的相位滞后。最近的理论已经考虑到这种现象在神经元群之间建立有效通信框架的重要性。在可能的其他因素中，可以假设有两个因素有助于接近零的相位滞后关系：(1)无显著相对时间延迟的正相关公共输入和(2)双向相互作用。到目前为止，由于缺乏梳理所观察到的同步性背后的具体原因的手段，还无法对这些假设进行实证检验。在这项工作中，首先使用仿真示例来说明这些思想。然后引入了一种定量方法，将两个皮质区域之间的统计依赖性分解为前馈，反馈和共输入组件，并应用于对两只行为猴子的多通道局部场电位记录的假设进行测试。近零相位滞后现象是研究大尺度振荡网络的一个重要问题。一个严格的数学定理第一次被用于实证检验导致这一现象的因素。鉴于振荡活动在所有水平的生物过程调节中可能发挥的关键作用，所提出的方法的意义可能超出系统神经科学，即当前分析的构思和执行水平。
Synchronized oscillation in cortical networks has been suggested as a mechanism for diverse functions ranging from perceptual binding to memory formation to sensorimotor integration. Concomitant with synchronization is the occurrence of near-zero phase-lag often observed between network components. Recent theories have considered the importance of this phenomenon in establishing an effective communication framework among neuronal ensembles. Two factors, among possibly others, can be hypothesized to contribute to the near-zero phase-lag relationship: (1) positively correlated common input with no significant relative time delay and (2) bidirectional interaction. Thus far, no empirical test of these hypotheses has been possible for lack of means to tease apart the specific causes underlying the observed synchrony. In this work simulation examples were first used to illustrate the ideas. A quantitative method that decomposes the statistical interdependence between two cortical areas into a feed-forward, a feed-back and a common-input component was then introduced and applied to test the hypotheses on multichannel local field potential recordings from two behaving monkeys. The near-zero phase-lag phenomenon is important in the study of large-scale oscillatory networks. A rigorous mathematical theorem is used for the first time to empirically examine the factors that contribute to this phenomenon. Given the critical role that oscillatory activity is likely to play in the regulation of biological processes at all levels, the significance of the proposed method may extend beyond systems neuroscience, the level at which the present analysis is conceived and performed.
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DOI：
10.1073/pnas.0308538101
发表时间：
2004-06-29
影响因子：
11.1
作者：
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通讯作者：
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影响因子：
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影响因子：
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