Dynamical complexity in a mean-field model of human EEG
Dynamical complexity in a mean-field model of human EEG
复制标题
人类脑电图平均场模型的动态复杂性
DOI：
10.1117/12.813966
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
D. Liley
中科院分区：
文献类型：
--
作者：
Federico Frascoli;Mathew P. Dafilis;L. van Veen;I. Bojak;D. Liley
最近提出的哺乳动物皮层节律发生的平均场理论描述了大脑大柱中电活动的显著特征，使用了抑制性和兴奋性神经元群体（Liley et al 2002）。该模型能够产生一系列重要的人类EEG（脑电图）特征，例如α节律、被认为与意识觉醒相关的40 Hz活动（Bojak & Liley 2007）以及与全身麻醉效果相关的EEG频谱功率变化（Bojak & Liley 2005）。从非线性动力学的角度来看，该模型需要一个巨大的参数空间，其中的多稳定性，伪周期制度，各种路线的混乱，脂肪分形和丰富的分歧的情况下发生的生理相关的参数值（货车Veen和Liley 2006年）。的起源和这种复杂的行为，其相关性脑电图活动的特点将被说明。短暂的不稳定的大脑状态的存在也将讨论现有的理论和实验结果。最后将对今后的分析提出展望。
A recently proposed mean-field theory of mammalian cortex rhythmogenesis describes the salient features of electrical activity in the cerebral macrocolumn, with the use of inhibitory and excitatory neuronal populations (Liley et al 2002). This model is capable of producing a range of important human EEG (electroencephalogram) features such as the alpha rhythm, the 40 Hz activity thought to be associated with conscious awareness (Bojak & Liley 2007) and the changes in EEG spectral power associated with general anesthetic effect (Bojak & Liley 2005). From the point of view of nonlinear dynamics, the model entails a vast parameter space within which multistability, pseudoperiodic regimes, various routes to chaos, fat fractals and rich bifurcation scenarios occur for physiologically relevant parameter values (van Veen & Liley 2006). The origin and the character of this complex behaviour, and its relevance for EEG activity will be illustrated. The existence of short-lived unstable brain states will also be discussed in terms of the available theoretical and experimental results. A perspective on future analysis will conclude the presentation.