A cortical network model for clinical EEG data analysis

被引：0

作者：

Gu, YQ ^{[1
]}

Halnes, G ^{[1
]}

Liljenström, H ^{[1
]}

Wahlund, B ^{[1
]}

机构：

[1] SLU, Dept Biometry & Engn, SE-75007 Uppsala, Sweden

来源：

COMPUTATIONAL NEUROSCIENCE: TRENDS IN RESEARCH 2004 | 2004年

关键词：

EEG; clinical data; neurodynamics; neo-cortical network; Fitzhugh-Nagumo neurons;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We use computational models of neo-cortex to investigate how cortical neurodynamics may depend on network properties and on intrinsic and external signals and fluctuations. We have previously demonstrated plausible relations between structure, dynamics and function of a neural network model of paleo-cortex, and now use a similar paradigm for the neo-cortical case. We investigate the role of various network properties and external input on electroencephalography (EEG) dynamics, in particular relating to electroconvulsive therapy (ECT) of patients with major depression. Our results are suggestive for the neural mechanisms underlying EEG, as well as for the dynamical effects of ECT on human EEG. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：1187 / 1196

页数：10

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