Kotini A, Anninos P, Anastasiadis A N, Tamiolakis D
Laboratory of Medical Physics, Democritus University of Thrace, Medical School, Alex/polis, 68100, Greece.
Theor Biol Med Model. 2005 Sep 7;2:37. doi: 10.1186/1742-4682-2-37.
The aim of this study was to compare a theoretical neural net model with MEG data from epileptic patients and normal individuals.
Our experimental study population included 10 epilepsy sufferers and 10 healthy subjects. The recordings were obtained with a one-channel biomagnetometer SQUID in a magnetically shielded room.
Using the method of x2-fitting it was found that the MEG amplitudes in epileptic patients and normal subjects had Poisson and Gauss distributions respectively. The Poisson connectivity derived from the theoretical neural model represents the state of epilepsy, whereas the Gauss connectivity represents normal behavior. The MEG data obtained from epileptic areas had higher amplitudes than the MEG from normal regions and were comparable with the theoretical magnetic fields from Poisson and Gauss distributions. Furthermore, the magnetic field derived from the theoretical model had amplitudes in the same order as the recorded MEG from the 20 participants.
The approximation of the theoretical neural net model with real MEG data provides information about the structure of the brain function in epileptic and normal states encouraging further studies to be conducted.
本研究旨在将理论神经网络模型与癫痫患者及正常个体的脑磁图（MEG）数据进行比较。
我们的实验研究对象包括10名癫痫患者和10名健康受试者。记录是在磁屏蔽室内使用单通道生物磁强计超导量子干涉装置（SQUID）获得的。
采用卡方拟合方法发现，癫痫患者和正常受试者的MEG振幅分别具有泊松分布和高斯分布。从理论神经模型得出的泊松连通性代表癫痫状态，而高斯连通性代表正常行为。从癫痫区域获得的MEG数据的振幅高于正常区域的MEG，并且与泊松分布和高斯分布的理论磁场相当。此外，从理论模型得出的磁场振幅与20名参与者记录的MEG处于同一量级。
理论神经网络模型与实际MEG数据的近似提供了关于癫痫和正常状态下脑功能结构的信息，鼓励开展进一步研究。
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