Computational model of cerebellar tDCS (Zhang et al., 2021)

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Accession:267189
This archive contains models used in (Zhang et al. 2021) and simulates Purkinje cell, granule cell, and deep cerebellar neuron activities under cerebellar tDCS (transcranial direct current stimulation).
Reference:
1 . Zhang X, Hancock R, Santaniello S (2021) Transcranial Direct Current Stimulation of Cerebellum Alters Spiking Precision in Cerebellar Cortex: A Modeling Study of Cellular Responses. PLoS Comp Biol 17(12):e1009609 [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: Cerebellum;
Cell Type(s): Cerebellum Purkinje GABA cell; Cerebellum interneuron granule GLU cell; Cerebellum deep nucleus neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s):
Implementer(s):
Search NeuronDB for information about:  Cerebellum Purkinje GABA cell; Cerebellum interneuron granule GLU cell;
// Simulate deep cerebellar nuclear cell activity during synaptically-triggered rebound spiking
// (c) Xu (Shawn) Zhang, UConn
// xu.3.zhang@uconn.edu

load_file("nrngui.hoc")
load_file("DCN_simulation.hoc")

access soma

// soma.diam = 100

tstop = 3000

objref f_tDCSparams
f_tDCSparams = new File()
f_tDCSparams.ropen("tDCSparams.txt")
ampparam = f_tDCSparams.scanvar()
f_tDCSparams.close()

forall {
  insert extracellular
  insert xtrau
}

load_file("interpxyzu.hoc")	// only interpolates sections that have xtrau
load_file("calcrxcu.hoc")	// computes transfer r between segments and recording electrodes
load_file("calcd.hoc")	// computes scale factor used to calculate extracellular potential
			            //   produced by a uniform electrical field
load_file("setpointersu.hoc")	// automatically calls grindaway() in interpxyzu.hoc
load_file("zapstimu_DC.hoc")		// extracellular stimulus


setstim(0, 1e6, ampparam) // Positive: hyperpolarizing soma
changefield(1000, 90, 90)

load_file("plot_synapses.hoc")

objref f_trialname
f_trialname = new File()
f_trialname.ropen("trialname_tDCS.txt")
strdef f_soma
f_trialname.scanstr(f_soma)
f_trialname.close()


gGABA = 1600e-6*QdTconductances
tauRiseGABA = 0.25 / QdTsynapseTaus // From Dieter Jaeger's code cn6c_const_dj4.g
tauFallGABA = 5.1 / QdTsynapseTaus // Telgkamp P, Padgett DE, Ledoux VA, Woolley CS, Raman IM (2004)

celsius = 37.0
TempOrigDCN = 32.0
TempAnchisi = 24.0

Q10channelGating = 3.0
Q10synapseGating = 2.0
Q10conductances = 1.4
Q10CaConc = 2.0
QdTsynapseTausAnchisi = Q10synapseGating^((celsius - TempAnchisi) / 10.0)
QdTconductanceAnchisi = Q10conductances^((celsius - TempAnchisi) / 10.0)
QdTchannelGating = Q10channelGating^((celsius - TempOrigDCN) / 10.0)
QdTsynapseTaus = Q10synapseGating^((celsius - TempOrigDCN) / 10.0)
QdTconductances = Q10conductances^((celsius - TempOrigDCN) / 10.0)
QdTCaConc = Q10CaConc^((celsius - TempOrigDCN) / 10.0)

objref somastim
soma somastim = new IClamp(0.5)
somastim.del = 500
somastim.dur = 500
somastim.amp = -0.15

// Record soma
objref rec_v_soma
rec_v_soma = new Vector()
rec_v_soma.record(&soma.v(0.5))

dt = 0.025
celsius = 37
v_init = -50

finitialize(v_init)
run()

// Save soma
objref sav_v_soma
sav_v_soma = new File()
sav_v_soma.wopen(f_soma)
rec_v_soma.printf(sav_v_soma)
sav_v_soma.close()

quit()

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