The origin of different spike and wave-like events (Hall et al 2017)

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Accession:235561
Acute In vitro models have revealed a great deal of information about mechanisms underlying many types of epileptiform activity. However, few examples exist that shed light on spike and wave (SpW) patterns of pathological activity. SpW are seen in many epilepsy syndromes, both generalised and focal, and manifest across the entire age spectrum. They are heterogeneous in terms of their severity, symptom burden and apparent anatomical origin (thalamic, neocortical or both), but any relationship between this heterogeneity and underlying pathology remains elusive. Here we demonstrate that physiological delta frequency rhythms act as an effective substrate to permit modelling of SpW of cortical origin and may help to address this issue. ..."
Reference:
1 . Hall SP, Traub RD, Adams NE, Cunningham MO, Schofield I, Jenkins AJ, Whittington MA (2018) Enhanced interlaminar excitation or reduced superficial layer inhibition in neocortex generates different spike-and-wave-like electrographic events in vitro. J Neurophysiol 119:49-61 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex; Thalamus;
Cell Type(s): Thalamus geniculate nucleus/lateral principal GLU cell; Thalamus reticular nucleus GABA cell; Neocortex U1 L6 pyramidal corticalthalamic GLU cell; Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell; Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron;
Channel(s): 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;
Gap Junctions: Gap junctions;
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: FORTRAN;
Model Concept(s): Epilepsy;
Implementer(s): Traub, Roger D ;
Search NeuronDB for information about:  Thalamus geniculate nucleus/lateral principal GLU cell; Thalamus reticular nucleus GABA cell; Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell; Neocortex U1 L6 pyramidal corticalthalamic 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;
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HallEtAl2017
readme.txt
dexptablebig_setup.f *
dexptablesmall_setup.f *
fnmda.f *
groucho_gapbld.f *
groucho_gapbld_mix.f *
integrate_deepaxaxx.f *
integrate_deepbaskx.f *
integrate_deepLTSx.f *
integrate_deepng.f *
integrate_nontuftRSXXB.f *
integrate_nrtxB.f *
integrate_spinstelldiegoxB.f *
integrate_supaxaxx.f *
integrate_supbaskx.f *
integrate_supLTSX.f *
integrate_supng.f *
integrate_suppyrFRBxPB.f *
integrate_suppyrRS.f *
integrate_suppyrRSXPB.f *
integrate_tcrxB.f *
integrate_tuftIBVx3B.f *
integrate_tuftRSXXB.f *
makefile *
otis_table_setup.f *
spikewaveS96.f
spikewaveS96.pdf
synaptic_map_construct.f *
                            
! 15 Nov. 2003, variation of groucho_gapbld.f to allow for gj
! between 2 cell populations, eg suppyrRS and suppyrFRB, or
! tuftRS and tuftIB.  Structure of gjtable as before, with col. 1
! giving cell of 1st type and col. 3 giving coupled cell of 2nd type.

      SUBROUTINE GROUCHO_gapbld_mix (thisno, numcells1, numcells2,
     & numgj, gjtable, allowedcomps, num_allowedcomps, display)
c       Construct a gap-junction network for groucho.f
c numcells1 = number of cells in 1st population.
c numcells2 = number of cells in 2nd population.
c numgj = total number of gj to be formed between these populations.
c gjtable = table of gj's: each row is a gj.  Entries are: cell A,
c    compartment on cell A; cell B, compartment on cell B
c allowedcomps = a list of compartments where gj allowed to form
c num_allowedcomps = number of compartments in a cell on which a gj 
c    might form.
! IT IS ASSUMED THAT ALLOWEDCOMPS AND NUM_ALLOWEDCOMPS SAME FOR
! THE 2 POPULATIONS.
c display is an integer flag.  If display = 1, print gjtable

        INTEGER thisno, numcells1, numcells2, numgj, gjtable(numgj,4),
     &    num_allowedcomps, allowedcomps(num_allowedcomps)
        INTEGER i,j,k,l,m,n,o,p, ictr /0/
c ictr keeps track of how many gj have been "built"
        INTEGER display

        double precision seed, x1(1), x2(1), y(2)

            seed = 137.d0
            gjtable = 0
            ictr = 0

2              k = 1
            call durand (seed, k, x1)
            call durand (seed, k, x2)
c This defines a candidate cell pair
               k = 2
            call durand (seed, k, y)
c This defines a candidate pair of compartments

           i = int ( x1(1) * dble (numcells1) )
           j = int ( x2(1) * dble (numcells2) )
           if (i.eq.0) i = 1
           if (i.gt.numcells1) i = numcells1
           if (j.eq.0) j = 1
           if (j.gt.numcells2) j = numcells2

c Is the ORDERED cell pair (i,j) in the list so far?
           if (ictr.eq.0) goto 1

           p = 0
         do L = 1, ictr
       if ((gjtable(L,1).eq.i).and.(gjtable(L,3).eq.j)) p = 1
         end do

          if (p.eq.1) goto 2

c Proceed with construction
1          ictr = ictr + 1
           m = int ( y(1) * dble (num_allowedcomps) )
           n = int ( y(2) * dble (num_allowedcomps) )
         if (m.eq.0) m = 1
         if (m.gt.num_allowedcomps) m = num_allowedcomps
         if (n.eq.0) n = 1
         if (n.gt.num_allowedcomps) n = num_allowedcomps

         gjtable (ictr,1) = i
         gjtable (ictr,3) = j
         gjtable (ictr,2) = allowedcomps (m)
         gjtable (ictr,4) = allowedcomps (n)

            if (ictr.lt.numgj) goto 2

c Possibly print out gjtable when done.
       if ((display.eq.1).and.(thisno.eq.0)) then
        write (6,800)           
800     format(' MIX GJTABLE ')
        do i = 1, numgj
         write (6,50) gjtable(i,1), gjtable(i,2),
     &                gjtable(i,3), gjtable(i,4)
50       FORMAT(4i6)
        end do
       endif

                 END

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