Assessing instantaneous synchrony of nonlinear nonstationary oscillators in the brain.
Assessing instantaneous synchrony of nonlinear nonstationary oscillators in the brain.
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DOI：
10.1016/j.jneumeth.2009.10.023
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发表时间：
2010-01-30
影响因子：
3
通讯作者：
Mogul, David J.
中科院分区：
文献类型：
--
作者：
Fine, Ananda S.;Nicholls, David P.;Mogul, David J.
关键词：
整个大脑中的神经元群体实现同步电生理活动水平，这是正常脑功能以及在病理状态（例如癫痫发作）期间的结果。理解这种同步性并能够定量评估大脑中神经元振荡器耦合其活动的动力学是解码这种复杂行为的关键组成部分。解决振荡器之间关系的常用技术通常假设线性和平稳性，这可能对复杂的神经信号无效。在这项研究中，颅内脑电图活动记录两侧在正常条件下，在大鼠的前内侧丘脑和在超同步癫痫活动引起的局灶性注射致痫剂红藻氨酸。首先利用经验模态分解提取非线性振子。利用特征值分解技术对最高能量振子的全局相位同步性进行了研究。希尔伯特分析技术，然后被用来测量这些振荡器的瞬时相位同步，因为它们在时间上的演变。为了测试这种方法的可靠性，我们首先将其应用到一个系统的两个耦合的Rössler吸引子在不同程度的耦合与小的频率失配。将这些分析技术应用于颅内记录的脑信号提供了一种用于评估在正常活动期间以及作为疾病状态的结果的脑中的复杂振荡行为如何演变和变化的手段，而不对潜在振荡活动的线性和平稳性进行限制性的和可能错误的假设。
Neuronal populations throughout the brain achieve levels of synchronous electrophysiological activity as a consequence of both normal brain function as well as during pathological states such as in epileptic seizures. Understanding this synchrony and being able to quantitatively assess the dynamics with which neuronal oscillators across the brain couple their activity is a critical component toward decoding such complex behavior. Commonly applied techniques to resolve relationships between oscillators typically make assumptions of linearity and stationarity that are likely not to be valid for complex neural signals. In this study, intracranial electroencephalographic activity was recorded bilaterally in both hippocampi and in anteromedial thalamus of rat under normal conditions and during hypersynchronous seizure activity induced by focal injection of the epileptogenic agent kainic acid. Nonlinear oscillators were first extracted using empirical mode decomposition. The technique of eigenvalue decomposition was used to assess global phase synchrony of the highest energy oscillators. The Hilbert analytical technique was then used to measure instantaneous phase synchrony of these oscillators as they evolved in time. To test the reliability of this method, we first applied it to a system of two coupled Rössler attractors under varying levels of coupling with small frequency mismatch. The application of these analytical techniques to intracranially recorded brain signals provides a means for assessing how complex oscillatory behavior in the brain evolves and changes during both normal activity and as a consequence of diseased states without making restrictive and possibly erroneous assumptions of the linearity and stationarity of the underlying oscillatory activity.
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