An Integrate And Fire Neural Network To
Simulate Epileptic Patterns In Intracortical EEG
Author(s)
M. Ursino, G.-E. La Cara & L. Carozza
Abstract
Epilepsy is characterized by paradoxical patterns of neural activity, either
localized within single regions of the cortex or spreading to large areas. These
patterns may cause different types of EEG, which may dynamically change
during the temporal evolution of seizure. It is generally assumed that these
epileptic patterns may originate in a network of strongly interconnected neurons,
in cases when excitation dominates over inhibition. The aim of this work is to
use a neural network of integrate and fire neurons to analyze which parameter
alterations (either at the neural level or at the level of synapses) may induce
network instability and epileptic-like discharges. A signal representative of EEG
is simulated by summing the membrane potential changes of all neurons.
Model simulations show that an increase in the strength and in spatial
extension of excitatory synapses vs. inhibitory synapses and/or an increase in the
relative refractory period, may determine sustained patterns of uncontrolled
activity, which propagate along the network. These propagating waves may have
a different shape and frequency, depending on the particular parameter set used
during the simulations and on initial random conditions. The resulting model
EEG signals include isolated or repeated bursts, high-frequency low-amplitude
waves or larger oscillations with lower frequency. A derangement in a few
parameters of the model causes the transition from one pattern to another, thus
generating a highly non-stationary signal which resembles that observed during
intracortical EEG measurements in epilepsy. The obtained results may help to
elucidate the mechanisms at the basis of some epileptic discharges, and to relate
rapid changes in EEG patterns, often observed during seizure, with the
underlying alterations at the neural and network levels.
Keywords: epilepsy, neural models, integrate and fire neurons, EEG.
Keywords
epilepsy, neural models, integrate and fire neurons, EEG.
Related Book
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