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一种描述脑结构中信息流的新方法。

A new method of the description of the information flow in the brain structures.

作者信息

Kamiński M J, Blinowska K J

机构信息

Institute of Experimental Physics, Warsaw University, Poland.

出版信息

Biol Cybern. 1991;65(3):203-10. doi: 10.1007/BF00198091.

Abstract

The paper describes the method of determining direction and frequency content of the brain activity flow. The method was formulated in the framework of the AR model. The transfer function matrix was found for multichannel EEG process. Elements of this matrix, properly normalized, appeared to be good estimators of the propagation direction and spectral properties of the investigated signals. Simulation experiments have shown that the estimator proposed by us unequivocally reveals the direction of the signal flow and is able to distinguish between direct and indirect transfer of information. The method was applied to the signals recorded in the brain structures of the experimental animals and also to the human normal and epileptic EEG. The sensitivity of the method and its usefulness in the neurological and clinical applications was demonstrated.

摘要

本文描述了确定脑活动流方向和频率成分的方法。该方法是在自回归(AR)模型框架内制定的。针对多通道脑电图(EEG)过程找到了传递函数矩阵。该矩阵的元素经过适当归一化后,似乎是所研究信号传播方向和频谱特性的良好估计量。模拟实验表明,我们提出的估计量能够明确揭示信号流的方向,并能够区分信息的直接和间接传递。该方法已应用于实验动物脑结构中记录的信号,以及人类正常和癫痫脑电图。证明了该方法的敏感性及其在神经学和临床应用中的实用性。

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