DocumentCode :
2742551
Title :
Interaction between cellular voltage-sensitive conductance and network parameters in a model of neocortex can generate epileptiform bursting
Author :
van Drongelen, W. ; Lee, H.C. ; Koch, H. ; Elsen, F. ; Carroll, M.S. ; Hereld, M. ; Stevens, R.L.
Author_Institution :
Dept. of Pediatrics, Chicago Univ., IL, USA
Volume :
2
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
4003
Abstract :
We examined the effects of both intrinsic neuronal membrane properties and network parameters on oscillatory activity in a model of neocortex. A scalable network model with six different cell types was built with the pGENESIS neural simulator. The neocortical network consisted of two types of pyramidal cells and four types of inhibitory interneurons. All cell types contained both fast sodium and delayed rectifier potassium channels for generation of action potentials. A subset of the pyramidal neurons contained an additional slow inactivating (persistent) sodium current (NaP). The neurons with the NaP current showed spontaneous bursting activity in the absence of external stimulation. The model also included a routine to calculate a simulated electroencephalogram (EEG) trace from the population activity. This revealed emergent network behavior which ranged from desynchronized activity to different types of seizure-like bursting patterns. At settings with weaker excitatory network effects, the propensity to generate seizure-like behavior increased. Strong excitatory network connectivity destroyed oscillatory behavior, whereas weak connectivity enhanced the relative importance of the spontaneously bursting cells. Our findings are in contradiction with the general opinion that strong excitatory synaptic and/or insufficient inhibition effects are associated with seizure initiation, but are in agreement with previously reported behavior in neocortex.
Keywords :
bioelectric potentials; biomembrane transport; diseases; electroencephalography; medical computing; neurophysiology; physiological models; potassium; sodium; action potentials; cellular voltage-sensitive conductance; delayed rectifier potassium channels; desynchronized activity; electroencephalogram; epileptiform bursting; excitatory network effects; fast sodium channels; inhibitory interneurons; intrinsic neuronal membrane properties; neocortex; network parameters; oscillatory activity; pGENESIS neural simulator; pyramidal cells; pyramidal neurons; scalable network model; seizure-like bursting patterns; slow inactivating sodium current; strong excitatory synaptic effects; Biomembranes; Brain modeling; Cellular networks; Electrodes; Electroencephalography; Epilepsy; Intelligent networks; Neurons; Pathology; Voltage; Epilepsy; neocortex; neural modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1404118
Filename :
1404118
Link To Document :
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