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 [rtraub at us.ibm.com];
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 *
                            
          subroutine otis_table_setup (otis_table, how_often, dt)
! Makes table of otis.f values, functions of time, with step size
! = how_often * dt

          real*8 otis_table (0:50000), dt, z, value
          integer i, j, k, how_often
          
          do i = 0, 50000
           z = dble (i) * dt * dble(how_often)
           call otis (z, value) 
           otis_table(i) = value
          end do

          end

! Time course of GABA-B, from Otis, de Koninck & Mody (1993) and proportional
! to that used in Traub et al. 1993 pyramidal cell model, J. Physiol.
                subroutine otis (t,value)

                real*8 t, value

              if (t.le.10.d0) then
                value = 0.d0
              else
            value = (1.d0 - dexp(-(t-10.d0)/38.1d0)) ** 4

       value = value * (10.2d0 * dexp(-(t-10.d0)/122.d0) +
     &    1.1d0 * dexp(-(t-10.d0)/587.d0))
              endif

                 end

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