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神经网络模型中的α、δ和θ节律。与脑磁图数据的比较。

Alpha, delta and theta rhythms in a neural net model. Comparison with MEG data.

作者信息

Kotini A, Anninos P

机构信息

Lab of Medical Physics, Medical School, Democritus University of Thrace, University Campus, Dragana, Alexandroupolis, 68100, Greece.

Lab of Medical Physics, Medical School, Democritus University of Thrace, University Campus, Dragana, Alexandroupolis, 68100, Greece.

出版信息

J Theor Biol. 2016 Jan 7;388:11-4. doi: 10.1016/j.jtbi.2015.10.005. Epub 2015 Oct 17.

Abstract

The aim of this study is to provide information regarding the comparison of a neural model to MEG measurements. Our study population consisted of 10 epileptic patients and 10 normal subjects. The epileptic patients had high MEG amplitudes characterized with θ (4-7 Hz) or δ (2-3 Hz) rhythms and absence of α-rhythm (8-13 Hz). The statistical analysis of such activities corresponded to Poisson distribution. Conversely, the MEG from normal subjects had low amplitudes, higher frequencies and presence of α-rhythm (8-13 Hz). Such activities were not synchronized and their distributions were Gauss. These findings were in agreement with our theoretical neural model. The comparison of the neural network with MEG data provides information about the status of brain function in epileptic and normal states.

摘要

本研究的目的是提供有关神经模型与脑磁图(MEG)测量结果比较的信息。我们的研究对象包括10名癫痫患者和10名正常受试者。癫痫患者的脑磁图振幅较高,以θ(4 - 7赫兹)或δ(2 - 3赫兹)节律为特征,且无α节律(8 - 13赫兹)。此类活动的统计分析符合泊松分布。相反,正常受试者的脑磁图振幅较低、频率较高且存在α节律(8 - 13赫兹)。此类活动不同步,其分布为高斯分布。这些发现与我们的理论神经模型一致。神经网络与脑磁图数据的比较提供了有关癫痫和正常状态下脑功能状况的信息。

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