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

Published in

Neurocomputing
2004, Volume: 58-60, pages: 1187-1196
Publisher: ELSEVIER SCIENCE BV

SLU Authors

• Liljenström, Hans

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    

Publication identifier

DOI: https://doi.org/10.1016/j.neucom.2004.01.184

Permanent link to this page (URI)

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