In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)

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Accession:258738
"Using a hippocampal CA3 computer model with 1200 neurons, we examined the effects of alterations in NMDAR, HCN (Ih current), and GABAAR on information flow (measured with normalized transfer entropy), and in gamma activity in local field potential (LFP). We found that altering NMDARs, GABAAR, Ih, individually or in combination, modified information flow in an inverted-U shape manner, with information flow reduced at low and high levels of these parameters. Theta-gamma phase-amplitude coupling also had an inverted-U shape relationship with NMDAR augmentation. The strong information flow was associated with an intermediate level of synchrony, seen as an intermediate level of gamma activity in the LFP, and an intermediate level of pyramidal cell excitability"
Reference:
1 . Sherif MA, Neymotin SA, Lytton WW (2020) In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia. NPJ Schizophr 6:25 [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: Hippocampus;
Cell Type(s): Hippocampus CA3 pyramidal GLU cell; Hippocampus CA3 interneuron basket GABA cell; Hippocampus CA3 stratum oriens lacunosum-moleculare interneuron;
Channel(s): I h;
Gap Junctions:
Receptor(s): AMPA; NMDA;
Gene(s): NR2A GRIN2A;
Transmitter(s): Glutamate; Gaba;
Simulation Environment: NEURON;
Model Concept(s): Schizophrenia;
Implementer(s): Sherif, Mohamed [mohamed.sherif.md at gmail.com];
Search NeuronDB for information about:  Hippocampus CA3 pyramidal GLU cell; Hippocampus CA3 interneuron basket GABA cell; AMPA; NMDA; I h; Gaba; Glutamate;
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CA3modelCode_npjSchizophrenia_September2020--main
data
README.md
CA1ih.mod
CA1ika.mod *
CA1ikdr.mod *
CA1ina.mod *
cagk.mod *
caolmw.mod *
capr.mod *
expsynstdp.mod
Gfluctp.mod *
HCN1.mod *
HCN2.mod
IA.mod
icaolmw.mod *
icapr.mod *
iholmkop.mod *
iholmw.mod *
ihpyrkop.mod *
ihstatic.mod *
infot.mod *
kahppr.mod *
kaolmkop.mod *
kapyrkop.mod *
kcaolmw.mod *
kcpr.mod *
kdrbwb.mod *
kdrolmkop.mod *
kdrpr.mod *
kdrpyrkop.mod *
km.mod
misc.mod *
MyExp2Syn.mod *
MyExp2SynAlpha.mod *
MyExp2SynBB.mod *
MyExp2SynNMDA.mod *
MyExp2SynNMDABB.mod *
nafbwb.mod *
nafolmkop.mod *
nafpr.mod *
nafpyrkop.mod *
samnutils.mod
sampen.mod
stats.mod
updown.mod *
vecst.mod *
wrap.mod *
analysisPlottingCode.py
aux_fun.inc *
batch.py
conf.py
declist.hoc *
decmat.hoc *
decnqs.hoc *
decvec.hoc *
default.hoc *
drline.hoc *
fig1sample.png
fig1simulationConfig.cfg
geom.py
grvec.hoc *
init.hoc
labels.hoc *
local.hoc *
misc.h
network.py
nqs.hoc *
nqs_utils.hoc *
nrnoc.hoc *
params.py
psd.py
pyinit.py
pywrap.hoc *
run.py
runone.py
simctrl.hoc *
stats.hoc *
syncode.hoc *
updown.hoc
xgetargs.hoc *
                            
//  $Header: /usr/site/nrniv/simctrl/hoc/RCS/local.hoc,v 1.15 2003/02/13 15:32:06 billl Exp $
//
//  This file contains local modifications to nrnoc.hoc and default.hoc
//
//  Users should not edit nrnoc.hoc or default.hoc.  Any local 
//  changes to these files should be made in this file.

// ------------------------------------------------------------
//* MODIFICATIONS TO NRNOC.HOC
// The procedures declared here will overwrite any duplicate
// procedures in nrnoc.hoc.
// ------------------------------------------------------------

//*MODIFICATIONS TO DEFAULT.HOC
//
// Vars added here may not be handled properly within nrnoc.hoc
//------------------------------------------------------------

//** String defaults

//** Simulation defaults

long_dt     = .001      // msec 

objref sfunc,tmpfile
sfunc = hoc_sf_   // needed to use is_name()
tmpfile = new File()  // check for existence before opening a user's local.hoc file

proc write_comment () {
  tmpfile.aopen("index")
  tmpfile.printf("%s\n",$s1)
  tmpfile.close()  
}

func asin () { return atan($1/sqrt(1-$1*$1)) }
func acos () { return atan(sqrt(1-$1*$1)/$1) }

objref mt[2]
mt = new MechanismType(0)
proc uninsert_all () { local ii
  forall for ii=0,mt.count()-1 {
    mt.select(ii)
    mt.selected(temp_string_)
    if (strcmp(temp_string_,"morphology")==0) continue
    if (strcmp(temp_string_,"capacitance")==0) continue
    if (strcmp(temp_string_,"extracellular")==0) continue
    if (sfunc.substr(temp_string_,"_ion")!=-1) continue
    mt.remove()
    // print ii,temp_string_
  }
}

condor_run = 0  // define for compatability