Submyelin Potassium accumulation in Subthalamic neuron (STN) axons (Bellinger et al. 2008)

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Accession:121253
"To better understand the direct effects of DBS (Deep brain stimulation) on central neurons, a computational model of a myelinated axon has been constructed which includes the effects of K+ accumulation within the peri-axonal space. Using best estimates of anatomic and electrogenic model parameters for in vivo STN axons, the model predicts a functional block along the axon due to K+ accumulation in the submyelin space. ... These results suggest that therapeutic DBS of the STN likely results in a functional block for many STN axons, although a subset of STN axons may also be activated at the stimulating frequency. "
Reference:
1 . Bellinger SC, Miyazawa G, Steinmetz PN (2008) Submyelin potassium accumulation may functionally block subsets of local axons during deep brain stimulation: a modeling study. J Neural Eng 5:263-74 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Axon;
Brain Region(s)/Organism:
Cell Type(s): Subthalamus nucleus projection neuron;
Channel(s): I Na,p; I K; I Sodium; I_Ks; Na/K pump;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Axonal Action Potentials; Action Potentials; Deep brain stimulation; Sodium pump; Depolarization block;
Implementer(s): Bellinger, Steven [Steve.Bellinger at asu.edu];
Search NeuronDB for information about:  I Na,p; I K; I Sodium; I_Ks; Na/K pump;
proc advance() {
		
	for i=0, totalSections-1 {
		if (secMat.x[i][0] == 1) { IS[ secMat.x[i][1] ].e_extracellular(0:1) = (xtraClamp.i)*xtrares.x[i]:(xtraClamp.i)*xtrares.x[i+1] }
		if (secMat.x[i][0] == 2) { PS[ secMat.x[i][1] ].e_extracellular(0:1) = (xtraClamp.i)*xtrares.x[i]:(xtraClamp.i)*xtrares.x[i+1] }
		if (secMat.x[i][0] == 3) { MAS[ secMat.x[i][1] ].e_extracellular(0:1) = (xtraClamp.i)*xtrares.x[i]:(xtraClamp.i)*xtrares.x[i+1] }
		if (secMat.x[i][0] == 4) { node[ secMat.x[i][1] ].e_extracellular(0:1) = (xtraClamp.i)*xtrares.x[i]:(xtraClamp.i)*xtrares.x[i+1] }

		}

	fadvance()
}

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