Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
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DOI：
10.1103/physreve.64.061907
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发表时间：
2001-12-01
影响因子：
2.4
通讯作者：
Elger, CE
中科院分区：
文献类型：
--
作者：
Andrzejak, RG;Lehnertz, K;Elger, CE
我们比较了不同记录区域以及不同生理和病理脑状态下的脑电活动的动力学特性。使用非线性预测误差和有效关联维数的估计，结合迭代幅度调整替代数据的方法，我们分析了脑电图（EEG）时间序列集：健康志愿者在闭眼和睁眼时的表面脑电图记录，以及癫痫患者在无癫痫发作间期期间从癫痫发作发生区域内部和外部的颅内EEG记录癫痫发作的颅内脑电图记录作为预分析步骤，应用弱平稳性的包含标准。睁开眼睛的表面EEG记录与高斯线性随机过程的替代品的零假设是相容的。癫痫发作活动中发现了非线性确定性动力学的最强迹象。其他组的结果被发现在这两个极端之间。
We compare dynamical properties of brain electrical activity from different recording regions and from different physiological and pathological brain states. Using the nonlinear prediction error and an estimate of an effective correlation dimension in combination with the method of iterative amplitude adjusted surrogate data, we analyze sets of electroencephalographic (EEG) time series: surface EEG recordings from healthy volunteers with eyes closed and eyes open, and intracranial EEG recordings from epilepsy patients during the seizure free interval from within and from outside the seizure generating area as well as intracranial EEG recordings of epileptic seizures. As a preanalysis step an inclusion criterion of weak stationarity was applied. Surface EEG recordings with eyes open were compatible with the surrogates' null hypothesis of a Gaussian linear stochastic process. Strongest indications of nonlinear deterministic dynamics were found for seizure activity. Results of the other sets were found to be in between these two extremes.