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;
// Simulations that record the membrane potential and A-conductance for sinusoidal varying ISI NetStim, with varying levels of maximal A-conductance density.

load_file("Cell.hoc")

tstop=52000

// Initiate from -55mV.

proc init() {
finitialize(-55)
/*
if (cvode.active()) {
cvode.re_init()
} else {fcurrent()
}
frecord_init()
*/
}

steps_per_ms=1
dt=1

celcius=20

access SPNcells[0].soma

// Need to open "injected current amplitudes" from the -55mV voltage-clamp protocol clamp.hoc.

// NOTE THAT NOW WE HAVE SPIKING CURRENTS SO CLAMPFIDDYFIVE.DAT WILL NOT GIVE EXACTLY -55mV!!!
objectvar ClampVector, ClampFile
ClampVector=new Vector()
ClampFile=new File()
ClampFile.ropen("ClampFiddyFive.dat")
ClampVector.scanf(ClampFile)

nstim=2

objectvar stim[nstim]
for i=0, nstim-1 stim[i]=new IClamp(0.5)
stim[0].amp=ClampVector.x[0]
stim[0].dur=tstop
stim[0].del=0

stim[1].amp=0
stim[1].dur=50000
stim[1].del=1000

nvrec=123 // one potential recording vector for each of the 0.005nA increments in the simulation amplitude.rec
ngrec=123 // one conductance recording vector for each of the 0.005nA increments in the simulation amplitude.
nstimrec=123 // one current clamp recording vector to record the family of depolarising current pulse injections.

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

vrec[0].record(&SPNcells[0].soma.v(0.5))
grec[0].record(&SPNcells[0].soma.gka_borgka(0.5))
stimrec[0].record(&stim[1].i)

gkabar_borgka=0.02
run()

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

nruns=201
for j=0, nruns-1 {

gkabar_borgka=0.02-(0.0001*j)

for i=1, nvrec-1 {
print i
vrec[i].record(&SPNcells[0].soma.v(0.5))
grec[i].record(&SPNcells[0].soma.gka_borgka(0.5))
stim[1].amp=0 + i*0.0005
stimrec[i].record(&stim[1].i)

run()
M.setcol(i+1,vrec[i])
N.setcol(i+1,grec[i])
K.setcol(i+1,stimrec[i])

// Set first column in matrices M and N to time.

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

strdef tstr, fname1, basenamev
strdef tstr, fname2, basenamegka
strdef tstr, fname3, basenameI

basenamev="FF_GKABAR_V_"
basenamegka="FF_GKABAR_gka_"
basenameI="FF_GKABAR_I_"

sprint(fname1,"%s%d.dat",basenamev,j)
sprint(fname2,"%s%d.dat",basenamegka,j)
sprint(fname3,"%s%d.dat",basenameI,j)

DataM=new File()
DataN=new File()
DataK=new File()
DataM.wopen(fname1)
M.fprint(DataM, " %g")
DataM.close(fname1)
DataN.wopen(fname2)
N.fprint(DataN, " %g")
DataN.close(fname2)
DataK.wopen(fname3)
K.fprint(DataK, " %g")
DataK.close(fname3)
}
}

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