Sympathetic Preganglionic Neurone (Briant et al. 2014)

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Accession:151482
A model of a sympathetic preganglionic neurone of muscle vasoconstrictor-type.
Reference:
1 . Briant LJ, Stalbovskiy AO, Nolan MF, Champneys AR, Pickering AE (2014) Increased intrinsic excitability of muscle vasoconstrictor preganglionic neurons may contribute to the elevated sympathetic activity in hypertensive rats. J Neurophysiol 112:2756-78 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Spinal cord lumbar motor neuron alpha ACh cell; Spinal cord sympathetic preganglionic neuron;
Channel(s): I Na,t; I L high threshold; I N; I A; I K; I K,Ca; I_AHP;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; MATLAB;
Model Concept(s): Action Potential Initiation; Activity Patterns; Bursting; Ion Channel Kinetics; Temporal Pattern Generation; Parameter Fitting; Action Potentials; Parameter sensitivity;
Implementer(s):
Search NeuronDB for information about:  Spinal cord lumbar motor neuron alpha ACh cell; I Na,t; I L high threshold; I N; I A; I K; I K,Ca; I_AHP;
// I-F curve of cell
// Figure 3Ab from Briant and Stalbovskiy et al. 2014
// Created Linford Briant October 2013

load_file("Cell.hoc")

tstop=52000
steps_per_ms=1
dt=1

proc init() {
finitialize(-55.1)
/*
if (cvode.active()) {
cvode.re_init()
} else {fcurrent()
}
frecord_init()
*/
}

objectvar stim
stim = new IClamp(0.5)
stim.amp=0
stim.dur=50000 
// 50s of stimulation (so multiply number of spikes - spiketimes.size() - by 1/50=0.02 to get frequency)
stim.del=1000

// This vector writes the current injected for plotting the I-F curve
objectvar stimamp
stimamp=new Vector(10)
stimamp.x[0]=stim.amp*1e3 // pA

nvrec=123 // one potential recording vector for each of the 0.0005nA=0.5pA increments in the simulation amplitude.rec
nstimrec=123 // one current clamp recording vector to record the family of depolarising current pulse injections.

objectvar vrec[nvrec], stimrec[nstimrec]
for i=0, nvrec-1 vrec[i]=new Vector()
for i=0, nstimrec-1 stimrec[i]=new Vector()

vrec[0].record(&SPNcells[0].soma.v(0.5))
stimrec[0].record(&stim.i)

objref Firing_graph_handle
Firing_graph_handle = new Graph()
Firing_graph_handle.size(0,tstop,-70,0)
Firing_graph_handle.exec_menu("10% Zoom out")
Firing_graph_handle.exec_menu("Keep Lines")
Firing_graph_handle.label(.4,.9,"Firing Data")

// Record spike times into a vector spiketimes, so we can calculate av FF.
objref nc[nvrec], nil
SPNcells[0].soma nc[0] = new NetCon(&v(0.5), nil)
objref spiketimes[nvrec]
spiketimes[0] = new Vector()
nc[0].record(spiketimes[0])

gkabar_borgka=0.005
run()

objref FrequencySpikes
FrequencySpikes=new Vector(123)
FrequencySpikes.x[0]=spiketimes[0].size()*0.02
print "Iteration=",0,"FiringFrequency=",FrequencySpikes.x[0],"NumberOfSpikes=",spiketimes[0].size(),"CurrentPulseAmplitude (pA)",stimamp.x[0]

objectvar vdt
vdt = new Vector()
vdt.resize(vrec[0].size())
vdt.indgen(dt)

vrec[0].line(Firing_graph_handle,vdt,2,1)

objectvar DataM, M, DataK, K
M=new Matrix(vrec[0].size(),124) // One extra column for time.
K=new Matrix(stimrec[0].size(),124) // One extra column for time.
M.setcol(1,vrec[0])
K.setcol(1,stimrec[0])

M.setcol(0,vdt)
K.setcol(0,vdt)

for i=1, 10-1 {

SPNcells[0].soma nc[i] = new NetCon(&v(0.5), nil)
spiketimes[i] = new Vector()
nc[i].record(spiketimes[i])

vrec[i].record(&SPNcells[0].soma.v(0.5))
stim.amp=0 + i*0.0005
stimrec[i].record(&stim.i)

stimamp.x[i]=stim.amp*1e3

run()

FrequencySpikes.x[i]=spiketimes[i].size()*0.02
print "Iteration=",i,"FiringFrequency=",FrequencySpikes.x[i],"NumberOfSpikes=",spiketimes[i].size(),"CurrentPulseAmplitude (pA)",stimamp.x[i]

vrec[i].line(Firing_graph_handle,vdt,2,1)
Firing_graph_handle.size(0,tstop,-70,0)

M.setcol(i+1,vrec[i])
K.setcol(i+1,stimrec[i])
}

// Save matrix of recorded vectors to .dat dataset.

// This will save the current and potential data for analysis
// DataM=new File()
// DataK=new File()
// DataM.wopen("I-F_V.dat")
// M.fprint(DataM, " %g")
// DataK.wopen("I-F_Current.dat")
// K.fprint(DataK, " %g")

objref IF_graph_handle
IF_graph_handle = new Graph()
FrequencySpikes.line(IF_graph_handle,stimamp,2,1)
IF_graph_handle.size(0,60,0,10)
IF_graph_handle.exec_menu("10% Zoom out")
IF_graph_handle.label(.4,.9,"Injected Current - Firing Frequency Curve; Figure 3B")

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