A cortical network model for clinical EEG data analysis

Hans Liljenström; Gu Yuqiao; Wahlund Björn

doi:10.1016/j.neucom.2004.01.184

A cortical network model for clinical EEG data analysis

Hans Liljenström
, Gu Yuqiao
, Wahlund Björn

Department of Energy and Technology

Publication: Contribution to journal › Journal article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	1187-1196
Number of pages	10
Journal	Neurocomputing
Volume	58
DOIs	https://doi.org/10.1016/j.neucom.2004.01.184
Publication status	Published - 2004

Keywords

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

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10.1016/j.neucom.2004.01.184

Cite this

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title = "A cortical network model for clinical EEG data analysis",

abstract = "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.",

keywords = "EEG, clinical data, neurodynamics, neo-cortical network, Fitzhugh-Nagumo neurons, EEG, clinical data, neurodynamics, neo-cortical network, Fitzhugh-Nagumo neurons",

author = "Hans Liljenstr{\"o}m and Gu Yuqiao and Wahlund Bj{\"o}rn",

year = "2004",

doi = "10.1016/j.neucom.2004.01.184",

language = "English",

volume = "58",

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journal = "Neurocomputing",

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TY - JOUR

T1 - A cortical network model for clinical EEG data analysis

AU - Liljenström, Hans

AU - Yuqiao, Gu

AU - Björn, Wahlund

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - EEG

KW - clinical data

KW - neurodynamics

KW - neo-cortical network

KW - Fitzhugh-Nagumo neurons

KW - EEG

KW - clinical data

KW - neurodynamics

KW - neo-cortical network

KW - Fitzhugh-Nagumo neurons

UR - https://res.slu.se/id/publ/4559

U2 - 10.1016/j.neucom.2004.01.184

DO - 10.1016/j.neucom.2004.01.184

M3 - Journal article

SN - 0925-2312

VL - 58

SP - 1187

EP - 1196

JO - Neurocomputing

JF - Neurocomputing

ER -

A cortical network model for clinical EEG data analysis

Abstract

Keywords

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