Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:127388
Basal ganglia network model of parkinsonian activity and subthalamic deep brain stimulation in non-human primates from the article Instructions are provided in the README.txt file. Contact hahnp@ccf.org if you have any questions about the implementation of the model. Please include "ModelDB - BGnet" in the subject heading.
Reference:
1 . Hahn PJ, McIntyre CC (2010) Modeling shifts in the rate and pattern of subthalamopallidal network activity during deep brain stimulation. J Comput Neurosci 28:425-41 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Basal ganglia;
Cell Type(s): Subthalamus nucleus projection neuron; Globus pallidus neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Dopamine; Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Bursting; Parkinson's; Deep brain stimulation;
Implementer(s): Hahn, Philip [hahnp at ccf.org];
Search NeuronDB for information about:  Dopamine; Gaba; Glutamate;
/*--------------------------------------------------------------
	TEMPLATE FILE FOR DEFINING STN NEURONS - Parallel version
	--------------------------------------------------

	One compartment model and currents derived from:

 	Otsuka model -> modified by Svjetlana -> compact by Dongchul Lee

	Dongchul C. Lee, Cleveland Clinic, 2005

	May 2006 parallel code - PJ Hahn

--------------------------------------------------------------*/

begintemplate pSTN		// create a new template object

public soma, synlist, connect2target, is_art

objref synlist

create soma

proc init() {

  soma {
	diam = 60		// geometry 
	L = 60			// so that area is about 10000 um2
	nseg = 1
	Ra = 200
	cm = 1

	insert myions //dummy mechanism used to set initial ion concentrations

	insert stn
		gnabar_stn = 49e-3   //[S/cm2]
		gkdrbar_stn = 57e-3  //[S/cm2]
		gkabar_stn = 5e-3    //[S/cm2]
		gkcabar_stn = 0.7e-3 //[S/cm2]
		gcalbar_stn = 15e-3  //[S/cm2]				
		gcatbar_stn = 5e-3   //[S/cm2]
		kca_stn = 2          //Ca removal rate [1/ms] 	
		gl_stn = 0.29e-3     //[S/cm2]


	synlist = new List()
  
	synapses($1, $2) // $1 numCtxSTN, $2 numGPeSTN

  }


// Initialize variables

  cai0_ca_ion = 5e-6 //mM //must set initial ion concentrations in hoc file, not mod (see NMODl p27)
  cao0_ca_ion = 2 
  ki0_k_ion = 105 //calculated so that Nernst potential is same as in paper
  ko0_k_ion = 3
  nao0_na_ion = 108
  nai0_na_ion = 10

}



proc connect2target() { //$o1 target object, $o2 returned NetCon
	soma $o2 = new NetCon(&v(1), $o1)
}



objref syn_
proc synapses() { // $1 numCtxSTN, $2 numGPeSTN


// glutamatergic cortical inputs
// set in pBGconst	numCtxSTN = 	

	for i=0, $1 - 1 {
		soma syn_ = new AMPA_S(.5)
		syn_.Cmax = 1
		synlist.append(syn_)
	}

// GABAergic GPe inputs
// set in pBGconst	numGPeSTN = 	

	for i=0, $2 - 1 {
		soma syn_ = new GABAa_S(.5)
		syn_.Cmax = 1
		synlist.append(syn_)
	}

}



proc is_art() {
	return 0
}



endtemplate pSTN