A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)

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Accession:206238
A realistic neural network was used to simulate a region of neocortex to obtain extracellular LFPs from ‘virtual micro-electrodes’ and produce test data for comparison with multisite microelectrode recordings. A model was implemented in the GENESIS neurosimulator. A simulated region of cortex was represented by layers 2/3, 5/6 (interneurons and pyramidal cells) and layer 4 stelate cells, spaced at 25 µm in each horizontal direction. Pyramidal cells received AMPA and NMDA inputs from neighboring cells at the basal and apical dendrites. The LFP data was generated by simulating 16-site electrode array with the help of ‘efield’ objects arranged at the predetermined positions with respect to the surface of the simulated network. The LFP for the model is derived from a weighted average of the current sources summed over all cellular compartments. Cell models were taken from from Traub et al. (2005) J Neurophysiol 93(4):2194-232.
References:
1 . Basu I, Kudela P, Korzeniewska A, Franaszczuk PJ, Anderson WS (2015) A study of the dynamics of seizure propagation across micro domains in the vicinity of the seizure onset zone. J Neural Eng 12:046016 [PubMed]
2 . Basu I, Kudela P, Anderson WS (2014) Determination of seizure propagation across microdomains using spectral measures of causality. Conf Proc IEEE Eng Med Biol Soc 2014:6349-52 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell; Neocortex U1 L5B pyramidal pyramidal tract GLU cell; Thalamus reticular nucleus GABA cell; Neocortex spiking low threshold (LTS) neuron; Neocortex spiking regular (RS) neuron; Neocortex layer 2-3 interneuron; Neocortex layer 5 interneuron;
Channel(s): I Na,p; I Na,t; I K; I A; I M; I h; I K,Ca; I A, slow; I L high threshold; I T low threshold; I Calcium;
Gap Junctions: Gap junctions;
Receptor(s): AMPA; GabaA; NMDA;
Gene(s):
Transmitter(s): Glutamate; Gaba; Amino Acids;
Simulation Environment: GENESIS;
Model Concept(s): Activity Patterns; Epilepsy;
Implementer(s): Anderson, WS ; Kudela, Pawel ;
Search NeuronDB for information about:  Thalamus reticular nucleus GABA cell; Neocortex U1 L5B pyramidal pyramidal tract GLU cell; Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell; GabaA; AMPA; NMDA; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I M; I h; I K,Ca; I Calcium; I A, slow; Amino Acids; Gaba; Glutamate;
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BasuEtAl2015
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ModelDescription.pdf
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P6RSd_P6RSc.g
P6RSd_P6RSd.g
P6RSd_P6RSd_Gap.g
P6RSd_raninput.g
P6RSd_ST4RS.g
P6RSd_synapsedefs.g
P6RSd_TCR.g
P6RSdcell3Dpk.p
P6RSdchanpk.g
P6RSdprotodefs.g
P6RSsyncond.g
pgenesis_command
protodefs.g
protospikeB23FS.g
protospikeB5FS.g
protospikeC23FS.g
protospikeC5FS.g
protospikeI23LTS.g
protospikeI5LTS.g
protospikenRT.g
protospikeP23FRBa.g
protospikeP23RSa.g
protospikeP23RSb.g
protospikeP23RSc.g
protospikeP23RSd.g
protospikeP5IBa.g
protospikeP5IBb.g
protospikeP5IBc.g
protospikeP5IBd.g
protospikeP5RSa.g
protospikeP6RSa.g
protospikeP6RSb.g
protospikeP6RSc.g
protospikeP6RSd.g
protospikeST4RS.g
protospikeTCR.g
randominputdefs.g
spikedefs.g
ST4RS.g
ST4RS_B23FS.g
ST4RS_B5FS.g
ST4RS_C23FS.g
ST4RS_C5FS.g
ST4RS_I23LTS.g
ST4RS_I5LTS.g
ST4RS_P23FRBa.g
ST4RS_P23RSa.g
ST4RS_P23RSb.g
ST4RS_P23RSc.g
ST4RS_P23RSd.g
ST4RS_P5IBa.g
ST4RS_P5IBb.g
ST4RS_P5IBc.g
ST4RS_P5IBd.g
ST4RS_P5RSa.g
ST4RS_P6RSa.g
ST4RS_P6RSb.g
ST4RS_P6RSc.g
ST4RS_P6RSd.g
ST4RS_raninput.g
ST4RS_ST4RS.g
ST4RS_ST4RS_Gap.g
ST4RS_synapsedefs.g
ST4RScell3Dpk.p
ST4RSchanpk.g
ST4RSprotodefs.g
ST4RSsyncond.g
synapticdelays.g *
synapticprobsTraub.g
synchansB23FS.g *
synchansB5FS.g *
synchansC23FS.g *
synchansC5FS.g *
synchansI23LTS.g *
synchansI5LTS.g *
synchansnRT.g *
synchansP23FRBa.g *
synchansP23RSa.g *
synchansP23RSb.g *
synchansP23RSc.g *
synchansP23RSd.g *
synchansP5IBa.g *
synchansP5IBb.g *
synchansP5IBc.g *
synchansP5IBd.g *
synchansP5RSa.g *
synchansP6RSa.g *
synchansP6RSb.g *
synchansP6RSc.g *
synchansP6RSd.g *
synchansSPIKEs.g *
synchansSPIKEs_base.g
synchansST4RS.g
synchansTCR.g *
syncond.g
syncond2.g
TCR.g
TCR_B23FS.g
TCR_B5FS.g
TCR_C23FS.g
TCR_C5FS.g
TCR_nRT.g
TCR_P23FRBa.g
TCR_P23RSa.g
TCR_P23RSb.g
TCR_P23RSc.g
TCR_P23RSd.g
TCR_P5IBa.g
TCR_P5IBb.g
TCR_P5IBc.g
TCR_P5IBd.g
TCR_P5RSa.g
TCR_P6RSa.g
TCR_P6RSb.g
TCR_P6RSc.g
TCR_P6RSd.g
TCR_raninput.g
TCR_ST4RS.g
TCR_synapsedefs.g
TCRcellpk.p
TCRchanpk.g
TCRprotodefs.g
TCRsyncond.g
                            
// genesis

// Setting the axonal propagation velocity
float CABLE_VEL = 1	// scale factor = 1/(cable velocity) sec/meter

float destlim = {P5IBd_P23RSa_destlim}

/*
 * Usage :
 * volumeconnect source-path destination-path
 *		 [-relative]
 *		 [-sourcemask {box,ellipse} x1 y1 x2 y2]
 *		 [-sourcehole {box,ellipse} x1 y1 x2 y2]
 *		 [-destmask   {box,ellipse} x1 y1 x2 y2]
 *		 [-desthole   {box,ellipse} x1 y1 x2 y2]
 *		 [-probability p]
 */

echo Making connections from the P5IBd cells to the P23RSa cells.

//P5IBd - P23RSa AMPA

str s

//Load synapse location array

str locations = "apdend3 apdend4aL apdend4bL apdend4aR apdend4bR apdend5aLLL apdend5aLL apdend5aLR apdend5aLRR apdend5aRRR apdend5aRR apdend5aRL apdend5aRLL"

foreach s ({arglist {locations}})

    rvolumeconnect /P5IBdnet/P5IBd[]/soma/spk9  \
	      /P23RSanet/P23RSa[]/{s}/Ex_ch1P5IBAMPA@all	    \
	      -relative			    \
	      -sourcemask box -1 -1  -1  1  1  1  \
	      -destmask   box -{destlim} -{destlim}  -1  {destlim}  {destlim}  1   \
          -probability 0.07692*{P5IBd_P23RSa_prob}

end

//P5IBd - P23RSa NMDA

str s

//Load synapse location array

str locations = "apdend3 apdend4aL apdend4bL apdend4aR apdend4bR apdend5aLLL apdend5aLL apdend5aLR apdend5aLRR apdend5aRRR apdend5aRR apdend5aRL apdend5aRLL"

foreach s ({arglist {locations}})

    rvolumeconnect /P5IBdnet/P5IBd[]/soma/spk9  \
	      /P23RSanet/P23RSa[]/{s}/Ex_ch1P5IBNMDA@all	    \
	      -relative			    \
	      -sourcemask box -1 -1  -1  1  1  1  \
	      -destmask   box -{destlim} -{destlim}  -1  {destlim}  {destlim}  1   \
          -probability 0.07692*{P5IBd_P23RSa_prob}

end

echo Setting weights and delays for P5IBd->P23RSa connections.
// assigning delays using the volumedelay function

/* 
 * Usage :
 * volumedelay path 
 * [-fixed delay]
 * [-radial propagation_velocity] 
 * [-uniform range]   (not used here)
 * [-gaussian sd max] (not used here)
 * [-exp mid max]     (not used here)
 * [-absoluterandom]  (not used here)
 */

rvolumedelay /P5IBdnet/P5IBd[]/soma/spk9 -radial  {P5IBd_P23RSa_axdelayCV} -add -gaussian {P5IBd_P23RSa_axdelaystdev} {P5IBd_P23RSa_axdelaymaxdev}

//P5IBd - P23RSa AMPA

str s

//Load synapse location array

str locations = "apdend3 apdend4aL apdend4bL apdend4aR apdend4bR apdend5aLLL apdend5aLL apdend5aLR apdend5aLRR apdend5aRRR apdend5aRR apdend5aRL apdend5aRLL"

foreach s ({arglist {locations}})

    syndelay    /P23RSanet/P23RSa[]/{s}/Ex_ch1P5IBAMPA {P5IBd_P23RSa_syndelay} -add -gaussian {P5IBd_P23RSa_syndelaystdev} {P5IBd_P23RSa_syndelaymaxdev}

end

//P5IBd - P23RSa NMDA

str s

//Load synapse location array

str locations = "apdend3 apdend4aL apdend4bL apdend4aR apdend4bR apdend5aLLL apdend5aLL apdend5aLR apdend5aLRR apdend5aRRR apdend5aRR apdend5aRL apdend5aRLL"

foreach s ({arglist {locations}})

    syndelay    /P23RSanet/P23RSa[]/{s}/Ex_ch1P5IBNMDA {P5IBd_P23RSa_syndelay} -add -gaussian {P5IBd_P23RSa_syndelaystdev} {P5IBd_P23RSa_syndelaymaxdev}

end

// assigning weights using the volumeweight function

/* 
 * Usage :
 *  volumeweight sourcepath 
 *          [-fixed weight]
 *          [-decay decay_rate max_weight min_weight]
 *          [-uniform range] 
 *          [-gaussian sd max] 
 *          [-exponential mid max]
 *          [-absoluterandom]
 */

rvolumeweight /P5IBdnet/P5IBd[]/soma/spk9 -decay {P5IBdecayrate} {P5IBmaxwgt} {P5IBminwgt}





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