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Research ArticleResearch Article: New Research, Disorders of the Nervous System

The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block

Kenza El Houssaini, Christophe Bernard and Viktor K. Jirsa
eNeuro 17 February 2020, 7 (2) ENEURO.0485-18.2019; https://doi.org/10.1523/ENEURO.0485-18.2019
Kenza El Houssaini
Aix Marseille University, INSERM, INS, Institut de Neurosciences des Systèmes, 13005 Marseille, France
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Christophe Bernard
Aix Marseille University, INSERM, INS, Institut de Neurosciences des Systèmes, 13005 Marseille, France
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Viktor K. Jirsa
Aix Marseille University, INSERM, INS, Institut de Neurosciences des Systèmes, 13005 Marseille, France
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  • Figure 1.
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    Figure 1.

    On the seizures dynamics. A, Time series of the Epileptor model (its enlarged view is shown on the right), the first (middle), and second (bottom) subsystem are plotted showing the principal components of a seizure-like event, that is an interictal period with no spikes, emergence of preictal spikes, ictal onset, seizure evolution, and emergence of sharp-wave events toward ictal offset. ψ, ψ1, and ψ2 correspond to Embedded Image , x1, and x2 respectively. B, The trajectory of the whole system is sketched in the (y1, ψ, z) phase space. Seizure offset and ictal onset emerge through the z evolution. Here all stochastic simulations were performed with Gaussian white noise using the Euler–Mayurama method. Main parameters values: m  =  0, x0 = −1.6, and r  =  0.00035. Initial conditions are [0 −5 3 0 0 0.01].

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    Figure 2.

    A, B, Equilibrium points of the Epileptor model with respect to x0 for m  =  0.5 (A) and m  =  0 (B). z is the third coordinate of the vector equilibrium points. Stable nodes and saddles are labeled as blue plus sign markers and black dots, respectively. Stable and unstable foci are labeled as red squares-dotted and green squares, respectively. C–E, Time series (stochastic) of the Epileptor model exhibit a normal activity ( C), a nonoscillatory state ( D), and a periodic solution ( E). The parameters m and x0 are: m = 0 and x0 = −2.5 ( C), m  =  0 and x0 = −0.9 ( D), and m = 0.5 and x0 = −0.9 ( E).

  • Figure 3.
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    Figure 3.

    Parameter space for equilibrium points. A, B, There are 9 regions in Iext2 = 0.45 (A) and 7 regions in Iext2 = 0 (B). The description of both parameter spaces is found in the Results section (Epileptor dynamics, Parameter space of equilibrium points).

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    Figure 4.

    The Epileptor model bifurcation diagram with respect to the slow variable z (m  =  0.5, Iext2 = 0.45). The Z-lower (solid), Z-middle (dash-dotted), and Z-upper (dashed) branches consist of stable nodes, saddles, and unstable foci, respectively. Decreasing z, the Z-lower and Z-middle branches collide in an SN1 bifurcation. Above the Z-curve, lower (dash-dotted) branch consists of saddles, and upper branch is divided into two sub-branches: one sub-branch (dashed) consists of unstable foci and another (dash-dotted) of saddles. Increasing z, the two sub-branches collide in an SN2 bifurcation. The inset is their enlarged view. Decreasing z, upper (dashed) and lower branches above the Z-curve collide in an SN4 bifurcation. Increasing z, the Z-upper branch and lower branch above collide in an SN3 bifurcation. The Embedded Image -curve is the average value of x1 for each z constant. Let x0 = −1.6, the z-nullcline (Embedded Image ) is at the Z-middle branch. A SLE occurs with a fold/homoclinic bifurcation. A saddle (S) periodic orbit separates the SLE attractor (right) and a stable periodic orbit LC (to the left, final orbit not shown). Deterministic trajectories are plotted on both sides of the separatrix S defining two basins of attraction (indicated by arrows). r  =  0.003 for LC and r  =  0.0007 for SLEs.

  • Figure 5.
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    Figure 5.

    The Epileptor model bifurcation diagram with respect to the slow variable z (m  =  0, Embedded Image ). The Z-lower (solid), Z-middle (dash-dotted), and Z-upper (dashed) branches consist of stable nodes, saddles, and unstable foci, respectively. Decreasing z, the Z-lower and Z-middle branches collide in an SN1 bifurcation. Above the Z-curve, lower (dash-dotted) branch consists of saddles, and the upper branch is divided into two sub-branches: one (solid) consists of stable foci and another (dash-dotted) of saddles. Increasing z, the two sub-branches collide in an SN2 bifurcation. The inset is their enlarged view. Decreasing z, upper (dashed) and lower branches above the Z-curve collide in a SNIC bifurcation. Increasing z, the Z-upper branch and lower branch above collide in an SN3 bifurcation. The Embedded Image -curve is the average value of x1 for each z constant. Let x0 = −1.6, the z-nullcline (Embedded Image ) is at the Z-middle branch. A SLE occurs with a fold/circle bifurcation. A saddle (S) periodic orbit separates the SLE attractor (right) and a stable periodic orbit LC (to the left, final orbit not shown). Deterministic trajectories are plotted on both sides of the separatrix S defining two basins of attraction (indicated by arrows). For the right trajectory, r  =  0.0006, I.C = [0 −5 2.5 0 0 0.01] and Ts = [0 1337]. For the left trajectory, r  =  0.001, I.C = [0 −5 1 0 0 0.01], and Ts = [0 1000].

  • Figure 6.
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    Figure 6.

    The Epileptor model bifurcation diagram with respect to the slow variable z (m  =  0, Iext2 = 0). The Z-lower (solid), Z-middle (dash-dotted), and Z-upper (dashed) branches consist of stable nodes, saddles, and unstable foci, respectively. Decreasing z, the Z-lower and Z-middle branches collide in an SN1 bifurcation. Increasing z, the Z-upper and Z-middle branches collide in an SN2 bifurcation. Below the Z-upper branch, lower (dashed) and upper (dash-dotted) branches corresponding to unstable foci and saddles, respectively, collide in an SN3 bifurcation. The Z-upper branch and the upper (dash-dotted) branch below collide as z decreases in an SN4 bifurcation. The Embedded Image -curve is the average value of x1 for each z constant. Let Embedded Image , the z-nullcline (Embedded Image ) is at the Z-middle branch. A SLE occurs with a fold/homoclinic bifurcation. For the (deterministic) trajectories, r  =  0.0005, I.C = [0 −5 2.5 0 0 0.01] and Ts = [0:0.001: 1540].

  • Figure 7.
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    Figure 7.

    The Epileptor model bifurcation diagram with respect to the slow variable z (m = −0.5, Iext2 = 0). The Z-lower (solid) and Z-middle (dash-dotted) branches consist of stable nodes and saddles respectively. The Z-upper branch is divided into sub-branches separated by a Hopf bifurcation, H: one sub-branch (solid) consists of stable foci and another (dashed) consists of unstable foci. Decreasing z, the Z-lower and Z-middle branches collide in an SN1 bifurcation. Increasing z, the Z-upper (solid) and Z-middle branches collide in an SN2 bifurcation. Below the Z-upper branch, lower (dashed) and upper (dash-dotted) branches corresponding to unstable foci and saddles, respectively, collide in an SN3 bifurcation. The Z-upper (dashed) branch and the upper (dash-dotted) branch below collide as z decreases in an SN4 bifurcation. Let Embedded Image , the z-nullcline (Embedded Image ) is at the Z-middle branch. A SLE occurs with a fold/Hopf bifurcation. For the (deterministic) trajectories, r  =  0.0007, I.C = [0 −5 2.65 0 0 0.01] and Ts = [0:0.001: 1028].

  • Figure 8.
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    Figure 8.

    The Epileptor model bifurcation diagram with respect to the slow variable z (m = − 1, Iext2 = 0). The Z-lower (solid), Z-middle (dash-dotted), and Z-upper (solid) branches consist of stable nodes, saddles, and stable foci, respectively. Decreasing z, the Z-lower and Z-middle branches collide in an SN1 bifurcation. Increasing z, the Z-upper and Z-middle branches collide in an SN2 bifurcation. Below the Z-upper branch, lower (dashed) and upper (dash-dotted) branches corresponding to unstable foci and saddles respectively, collide in an SN3 bifurcation. The Z-upper (solid) branch and the upper (dash-dotted) branch below collide as z decreases in a SNIC bifurcation. Let x0 = −1.6, the z-nullcline (Embedded Image ) is at the Z-middle branch. A SLE reduces to a periodic switch between a nonoscillatory state and a NS, which occurs through a fold/fold bifurcation. For the (deterministic) trajectories, r  =  0.0008, I.C = [0.5 −5 2 0 0 0.01] and Ts = [0:0.001: 1400].

  • Figure 9.
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    Figure 9.

    On the LC existence and dynamics. The Epileptor model bifurcation diagram (z, x1) with respect to z (m  =  0.5, Iext2 = 0.45, x0 = −1.6). A, B, The z-nullcline is given by Equation 34 ( A), and results from Equation 35 ( B). The Embedded Image -curve is the average value of x1 for each z constant. C, D, Characteristic time series (deterministic) show a divergence of the Epileptor with time ( C), and the fast-slow limit cycle LC ( D). r  =  0.009 for LC (i2) and r  =  0.0007 for SLEs (i1).

  • Figure 10.
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    Figure 10.

    On the LC existence and dynamics. The Epileptor model bifurcation diagram (z, x1) with respect to z as plotted in Figure 4. The Embedded Image -curve is the average value of x1 for each z constant. Let x0 = −0.9, the z-nullcline is at three branches of the (z, x1) curve. Two branches (dashed) consist of unstable foci and one branch (dash-dotted) consists of saddles (see inset). Deterministic trajectory converges to LC. The final state is the intersection of the z-nullcline and Embedded Image -curve. m  =  0.5, Iext2 = 0.45, r  =  0.0035, I.C = [0 −5 3 0 0 0.01] and Ts = [0 1000].

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    Figure 11.

    A, B, Finding periodic orbits of the Epileptor for m  =  0.5 ( A) and m = −16 ( B). Stable periodic orbits LC and SLC are labeled as red plus sign markers (bottom) and blue plus sign markers (top), respectively. Saddle periodic orbits S are labeled as black dots. A, B, Decreasing x0, periodic orbits LC and S disappear through a saddle-node of periodic orbits bifurcation. B, Decreasing further x0 (below −0.8), SLC disappears.

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    Figure 12.

    Parameter space of periodic orbits. A, B, There are five regions in Iext2 = 0.45 ( A) and Iext2 = 0 ( B). LC exists in area I and coexists with S in area II. Only SLC exists in area IV, and coexists with LC and S in area III. LC, SLC, and S disappear in area V. We can visualize in Figure 5 the coexistence of LC and S (A, area II), and in Figure 13 the coexistence of LC, S, and SLC (B, area III).

  • Figure 13.
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    Figure 13.

    SLC dynamics. A, B, The equilibrium point is a saddle (m  =  1, x0 = −1.8; A) and an unstable focus (m = −2, x0 = 0; B) with Iext2 = 0, r  =  0.0007. C, D, Deterministic time series of the Epileptor system ψ, subsystem 1 ψ1 and subsystem 2 ψ2 are plotted for the saddle equilibrium point ( C) and for the unstable focus ( D). The Embedded Image -curve is the average value of x1 for each z constant.

  • Figure 14.
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    Figure 14.

    Transition from epileptiform fast discharges to depolarization block. A, Bifurcation diagram (z, x1) of the Epileptor model. The Z-lower (solid), Z-middle (dash-dotted), and Z-upper (solid) branches consist of stable nodes, saddles, and stable nodes, respectively. Decreasing z, the Z-lower and Z-middle branches collide in an SN1 bifurcation. Increasing z, the Z-upper and Z-middle branches collide in an SN2 bifurcation. Below the Z-upper branch (see inset), the top (dash-dotted) branch consists of saddles and the bottom (dashed) branch consists of unstable foci. Increasing z, bottom and top branches collide in an SN3 bifurcation. Decreasing z, the Z-upper (solid) branch and upper (dash-dotted) branch below collide in a SNIC bifurcation. Let x0 = −1.6, the z-nullcline (Embedded Image ) is at the Z-middle branch. The Z-upper (solid) and Z-lower (solid) branches correspond to DB and NS, respectively. The SLE attractor reduces then to a periodic transition between DB and NS. B, Deterministic time series of the Epileptor system ψ, subsystem 1 ψ1, and subsystem 2 ψ2. Parameters are: m = − 8, Iext2 = 0, r  =  0.0005.

  • Figure 15.
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    Figure 15.

    A, Top, Bifurcation diagram (z, x1) of the Epileptor model. Parts I and II are zoomed on the bottom. The transitions between the Z-upper and Z-lower branches occur through a fold/circle bifurcation. B, Deterministic time series of the Epileptor system ψ, subsystem 1 ψ1, and subsystem 2 ψ2. Parameters are: m = −8, x0 = −1.6, Iext2 = 0.45, r  =  0.0005, I.C = [0 −5 2.7 0 0 0.01], and Ts = [0:0.001: 1600].

  • Figure 16.
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    Figure 16.

    Stabilizing the equilibrium point of the nonoscillatory state and DB. The Epileptor model remains in the ictal nonoscillatory state after a fast discharges period. We plot a (z, x1) bifurcation diagram for different values of m, x0 and Iext2. A–C, Iext2 = 0.45, m  =  0 and x0 = −0.9 ( A), Iext2 = 0, m = −0.5, and x0 = −0.8 ( B), and Iext2 = 0, m = −1, and x0 = −0.8 ( C). The equilibrium point C is a stable focus for A–C. The Epileptor stabilizes its equilibrium point C after transient seizure-like fast discharges, which disappear through a SNIC bifurcation ( A) and a through Hopf bifurcation ( B). The branches description for A–C is provided in Figures 5, 7, and 8, respectively. D, We plot a (z, x1) bifurcation diagram with respect to z for m = −8 and Iext2 = 0. The Z-upper (dashed), Z-middle (dash-dotted), and Z-lower (solid) branches consist of stable nodes, saddles, and stable nodes, respectively. Let x0 = −0.6, the z-nullcline (Embedded Image ) intersects the Z-upper branch at C, which is a stable node. The Epileptor model remains in DB after a transient NS. For all deterministic simulations: I.C = [−1 −5 4 0 0 0.01]. r  =  0.00095 and Ts = [0:0.001:2000] for A; r  =  0.002 and Ts = [0:0.001:2000] for B; r  =  0.001 and Ts = [0:0.001:2000] for C; and r  =  0.00005 and Ts = [0:0.001:3000] for D.

  • Figure 17.
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    Figure 17.

    Stabilizing the equilibrium point of the NS. We plot a (z, x1) bifurcation diagram with respect to z, as m and Iext2 vary (x0 = −2.5). A–F, m  =  0.5 and Iext2 = 0.45 ( A), m  =  0 and Iext2 = 0.45 ( B), m  =  0 and Iext2 = 0 ( C), m = −0.5 and Iext2 = 0 ( D), and m = −1 and Iext2 = 0 ( E, F). Branches of the (z, x1) curve in A are the same as in Figure 4. Branches of the (z, x1) curve in B are the same as in Figure 5. Branches of the (z, x1) curve in C are the same as in Figure 6. Branches of the (z, x1) curve in D are the same as in Figure 7. Branches of the (z, x1) curve in E and F are the same as in Figure 8. A–F, The z-nullcline (Embedded Image ) intersects the Z-lower branch at C, which is a stable node. The Epileptor model remains in NS after a transient ictal state. For all (deterministic) simulations Ts = [0:0.001:4500]. I.C = [0.5 −5 2.9 0 0 0.01] and r  =  0.00053 for A; I.C = [0.5 −5 2.9 0 0 0.01] and r  =  0.00035 for B; I.C = [0 −5 2.8 0 0 0.01] and r  =  0.0007 for C; I.C = [0.5 −5 2.7 0 0 0.01] and r  =  0.00035 for D; I.C = [0.5 −5 2.7 0 0 0.01] and r  =  0.0005 for E; and I.C = [0.5 −5 2.45 0 0 0.01] and r  =  0.0004 for F.

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    Figure 18.

    A, Coexistence of SLEs and RSE. The simulations are performed without noise. SLEs and a stable LC coexist for m  =  0.5 and x0 = −1.6 (Embedded Image ). SLEs occur through a fold/homoclinic bifurcation. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for seizures (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of SLEs ( B) and LC ( C). Parameter settings correspond to region VIII in Figure 31 and to region 13 in Figure 32. A, Top, I.C = [0 −5 3 0 0 0.01] and r  =  0.035. A, Bottom, I.C = [0 −5 −1 0 0 0.01] and r  =  0.035. The coexistence of LC and separatrix (S) can be found in area II [Fig. 12A].

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    Figure 19.

    A, Coexistence of SLEs and RSE. The simulations are performed without noise. SLEs and a stable LC coexist for m  =  0 and x0 = −1.6 (Embedded Image ). SLEs occur through a fold/homoclinic bifurcation. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for seizures (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of SLEs ( B) and LC ( C). Parameter settings correspond to region X in Figure 34 and to region 15 in Figure 35. A, Top, I.C = [0 −5 3 0 0 0.01], Ts = [0 220], and r  =  0.01. A, Bottom, I.C = [4 −1 −0.5 0 0 0.01], Ts = [0 120], and r  =  0.01. The coexistence of LC and S can be found in area II (Fig. 12B).

  • Figure 20.
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    Figure 20.

    A, Coexistence of SLEs and RSE. The simulations are performed without noise. SLEs and a stable LC coexist for m  =  0 and x0 = −1.6 (Embedded Image ). SLEs occur through a fold/circle bifurcation. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for seizures (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of SLEs ( B) and LC ( C). Parameter settings correspond to region VII in Figure 31 and to region 12 in Figure 32. A, Top, I.C = [0 −5 3 0 0 0.01], Ts = [0 220], and r  =  0.01. A, Bottom, I.C = [4 −1 −0.5 0 0 0.01], Ts = [0 120], and r  =  0.01. The coexistence of LC and S can be found in area II (Fig. 12A).

  • Figure 21.
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    Figure 21.

    A, Coexistence of SLEs and RSE. The simulations are performed without noise. SLEs and a stable LC coexist for m = −0.5 and x0 = −1.6 (Embedded Image ). SLEs occur through a fold/Hopf bifurcation. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for seizures (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of SLEs ( B) and LC ( C). Parameter settings correspond to region IX in Figure 34 and to region 14 in Figure 35. A, Top, I.C = [0 −5 3 0 0 0.01], Ts = [0 220], and r  =  0.01. A, Bottom, I.C = [4 −1 −0.5 0 0 0.01], Ts = [0 120], and r  =  0.01. The coexistence of LC and S can be found in area II [Fig. 12B].

  • Figure 22.
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    Figure 22.

    A, Coexistence of RSE and the periodic switch between nonoscillatory state and NS. The simulations are performed without noise. Here, the SLE attractor reduces to the periodic switch between nonoscillatory state and NS, which coexists with a stable LC for m = −1 and Embedded Image (Embedded Image ). This periodic switch occurs through a fold/fold bifurcation. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for the periodic switch between nonoscillatory state and NS (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of this periodic switch ( B) and LC ( C). Parameter settings correspond to region VIII in Figure 34 and to region 13 in Figure 35. A, Top, I.C = [0 −5 3 0 0 0.01], Ts = [0 220], and r  =  0.01. A, Bottom, I.C = [4 −1 0.5 0 0 0.01], Ts = [0 120], and r  =  0.01. The coexistence of LC and S can be found in area II (Fig. 12B).

  • Figure 23.
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    Figure 23.

    A, Coexistence of SLC and RSE. The simulations are performed without noise. SLC and a stable LC coexist for m  =  1 and Embedded Image (Embedded Image ). The equilibrium point is a saddle. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for SLC (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of SLC ( B) and LC ( C). Parameter settings correspond to region II in Figure 34 and to region 17 in Figure 35. A, Top, I.C = [−1.15 −5 3.4 0 0 0.01], Ts = [0 500], and r  =  0.0035. A, Bottom, I.C = [10 −5 −1 0 0 0.01], Ts = [0 500], and r  =  0.0035.The coexistence of LC, S, and SLC can be found in area III [Fig. 12B].

  • Figure 24.
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    Figure 24.

    A, Coexistence of SLC and RSE. The simulations are performed without noise. SLC and a stable LC coexist for m = −2 and Embedded Image (Embedded Image ). The equilibrium point is an unstable focus. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y, Z) corresponding to (Embedded Image ) for SLC (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of SLC ( B) and LC ( C). Parameter settings correspond to region II in Figure 34 and to region 2 in Figure 35. A, Top, I.C = [−1.15 −5 2.9 0 0 0.01], Embedded Image , and r  =  0.007. A, Bottom, I.C = [10 −5 −1 0 0 0.01], Ts = [0 500], and r  =  0.002. The coexistence of LC, S, and SLC can be found in area III [Fig. 12B].

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    Figure 25.

    A, Coexistence of RSE and a periodic switch between DB and NS. The simulations are performed without noise. Here, the SLE attractor reduces to the periodic switch between DB and NS, which coexists with a stable LC for m = −8 and x0 = −1.4 (Embedded Image ). Trajectory segments are numbered in A and B. DB corresponds to the segment 1, and the NS to the segment 3. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for the periodic switch between DB and NS (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of the periodic switch between DB and NS ( B) and LC ( C). Parameter settings correspond to region VII in Figure 34 and to region 12 in Figure 35. A, Top, I.C = [0 −5 3 0 0 0.01], Ts = [0 450], and r  =  0.01. For easier visualization, we plot the trajectory over Ts = [96 244]. A, Bottom, I.C = [9 −5 −1 0 0 0.01], Ts = [0 200], and r  =  0.01. The coexistence of LC and S can be found in area II (Fig. 12B).

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    Figure 26.

    A, Coexistence of normal state and RSE. The simulations are performed without noise. The equilibrium point of NS and a stable LC coexist for m  =  0 and Embedded Image . Trajectory segments are numbered in A and B. The transient seizure-like fast discharges correspond to the segment 1, and the NS to the segment 4. The equilibrium point of NS exists. After the transient seizure-like fast discharges, the Epileptor remains in NS. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for DB (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of NS ( B) and LC ( C). Parameter settings correspond to region X in Figure 31 and to region 18 in Figure 32. The coexistence of LC and S can be found in area II (Fig. 12A).

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    Figure 27.

    A, Coexistence of DB and RSE. The simulations are performed without noise. The equilibrium point of DB and a stable LC coexist for m = −8 and x0 = −0.6. Trajectory segments are numbered in A and B. DB corresponds to the segment 4, and the NS to the segment 2. The equilibrium point of DB exists. The equilibrium point of NS does not. After a transient NS, the Epileptor stabilizes on DB. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for DB (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of DB ( B) and LC ( C). Parameter settings correspond to region V in Figure 34 and to region 9 of 5 in Figure 35. A, Top, I.C = [−0.1 −6 3.8 0 0 0.01], Ts = [0 400], and r  =  0.01. A, Bottom, I.C = [9 −5 −1 0 0 0.01], Ts = [0 200], and r  =  0.009. The coexistence of LC and S can be found in area II (Fig. 12B).

  • Figure 28.
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    Figure 28.

    A, Coexistence of nonoscillatory state and RSE. Here, transient seizure-like fast discharges disappears through a SNIC bifurcation, and then the nonoscillatory state occurs. The simulations are performed without noise. The equilibrium point of the nonoscillatory state and a stable LC coexist for m  =  0 and x0 = −0.9 (Embedded Image ). Trajectory segments are numbered in A and B. The transient seizure-like fast discharges correspond to the segment 2, the transient NS to the segment 1, and the nonoscillatory state to the segment 4. The equilibrium point of nonoscillatory state exists. After the transients NS and then seizure-like fast discharges, the Epileptor remains in the nonoscillatory state. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for the nonoscillatory state (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of the nonoscillatory state ( B) and LC ( C). Parameter settings correspond to region V in Figure 31 and to region 6 in Figure 32. A, Top, I.C = [−1.5 −2.5 3.5 0 0 0.01], Ts = [0 500], and r  =  0.007. A, Bottom, I.C = [10 −5 −1 0 0 0.01], Ts = [0 500], and r  =  0.004. The coexistence of LC and S can be found in area II (Fig. 12A).

  • Figure 29.
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    Figure 29.

    A, Coexistence of nonoscillatory state and RSE. Here a transient seizure-like fast discharges disappear through a Hopf bifurcation, and then the nonoscillatory state occurs. The simulations are performed without noise. The equilibrium point of the nonoscillatory state and a stable LC coexist for m = −0.5 and x0 = −0.8 (Embedded Image ). Trajectory segments are numbered in A and B. The transient seizure-like fast discharges correspond to the segment 2, the transient NS to the segment 1, and the nonoscillatory state to the segment 4. The equilibrium point of the nonoscillatory state exists. After the transients NS and then seizure-like fast discharges, the Epileptor remains in the nonoscillatory state. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for the nonoscillatory state (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of the nonoscillatory state ( B) and LC ( C). Parameter settings correspond to region V in Figure 34 and to region 6 in Figure 32. A, Top, I.C = [−1 −5.5 3.8 0 0 0.01], Ts = [0 200], and r  =  0.02. A, Bottom, I.C = [10 −5 −1 0 0 0.01], Ts = [0 250], and r  =  0.004. The coexistence of LC and S can be found in area II (Fig. 12B).

  • Figure 30.
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    Figure 30.

    A, Coexistence of nonoscillatory state and RSE. Here after a transient NS, the Epileptor enters into the nonoscillatory state. The simulations are performed without noise. The equilibrium point of the nonoscillatory state and a stable LC coexist for m = −1 and x0 = −0.8 (Embedded Image ). Trajectory segments are numbered in A and B. The transient NS is indicated by (1) and the nonoscillatory state (final state) by (3). The equilibrium point of nonoscillatory state exists, which is a stable focus. After a transient NS, the Epileptor spirals into the equilibrium point (stable focus) and remains in the nonoscillatory state. The arrows indicate the direction of trajectories. For easier visualization, we plot generalized coordinates (X, Y) corresponding to (Embedded Image ) for the nonoscillatory state (top) and to (Embedded Image ) for LC (bottom). LC is characteristic of RSE. B, C, Time series of the nonoscillatory state ( B) and LC ( C). Parameter settings correspond to region V in Figure 34 and to region 6 in Figure 32. A, Top, I.C = [−1 −5.5 3.5 0 0 0.01], Ts = [0 200], and r  =  0.01. A, Bottom, I.C = [10 −5 −1 0 0 0.01], Ts = [0 250], and r  =  0.004. The coexistence of LC and S can be found in area II (Fig. 12B).

  • Figure 31.
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    Figure 31.

    Parameter space of the Epileptor model with respect to the parameters m and x0 (Embedded Image ). There are 12 regions separated by a SNPO bifurcation (bold line). LC exists above and it does not exist below. LC exists in area I. Area II shows bistability of LC and SLC. In area III, only SLC exists. Only a nonoscillatory state with damped oscillation exists in area IV, and coexists with LC in area V. Only SLE exists in area VI, and coexists with LC in areas VII and VIII. SLE occurs through a fold/circle bifurcation in areas VI and VII, and through a fold/homoclinic bifurcation in area VIII. NS exists in area IX and coexists with LC in area X. In areas XI and XII, LC coexists with a chaotic state which is periodic in area XI, and it does not in area XII.

  • Figure 32.
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    Figure 32.

    The Epileptor parameter space of equilibrium points and periodic orbits with respect to the parameters m and x0 (Embedded Image ). There are 18 areas separated by a SNPO bifurcation (bold line). LC exists above and it does not exist below. The z-nullcline intersects the (z, x1) curve at different equilibrium points. The equilibrium point is an unstable focus for areas 1 through 3. The equilibrium points are a stable node, an unstable focus and a saddle in areas 4 and 5. The equilibrium points are a stable focus, an unstable focus, and a saddle in area 6. The equilibrium points are one saddle and two unstable foci in area 7. The equilibrium points are a saddle, an unstable focus, and an unstable node in area 8. The equilibrium points are one unstable focus and two saddles in area 9. The equilibrium points are three saddles in area 10. The equilibrium point is a saddle for areas 11 through 16. The equilibrium point is a stable node in areas 17 and 18. In areas 1, 7, 8, 9, 10, and 14, only LC exists. Area 2 presents bistability of LC and SLC. In area 3, only SLC exists. In area 4, only a nonoscillatory state exists. In areas 5 and 6, LC and a nonoscillatory state coexist. Only SLE exists in area 11, and coexists with LC in areas 12 and 13. SLE occurs through a fold/circle bifurcation in areas 11 and 12, and through a fold/homoclinic bifurcation in area 13. NS exists in area 17 and coexists with LC in area 18. In areas 15 and 16, LC coexists with a chaotic state which is periodic in area 15, and it does not in area 16.

  • Figure 33.
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    Figure 33.

    Interspike intervals Embedded Image (Embedded Image ). A, B, m  =  1 ( A) and m  =  1.5 ( B).

  • Figure 34.
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    Figure 34.

    Parameter space of the Epileptor model with respect to the parameters m and x0 (Embedded Image ). There are 13 regions separated by a SNPO bifurcation (bold line). LC exists above, and it does not exist below. LC exists in area I. Area II presents a bistability of LC and SLC. Only SLC exists in area III. DB exists for areas IV, V, VII, and VIII. In area IV, only DB exists. In area V, DB and LC coexist. In area VII, only a periodic switch between DB and NS exists. In area VIII, a periodic switch between DB and NS coexists with LC. Increasing m, DB locks into nonoscillatory state with damped oscillation coexisting with LC in area VI. A periodic switch between a nonoscillatory state and a NS coexists with LC in area IX. SLE coexists with LC in areas X and XI. SLE occurs through a fold/Hopf bifurcation in area X and through a fold/homoclinic bifurcation in area XI. NS exists in area XII and coexists with LC in area XIII.

  • Figure 35.
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    Figure 35.

    The Epileptor parameter space of equilibrium points and periodic orbits with respect to the parameters m and x0 (Embedded Image ). There are 20 regions separated by a SNPO bifurcation (bold line). LC exists above and it does not exist below. The z-nullcline intersects the (z, x1) curve at different equilibrium points. The equilibrium point is an unstable focus for areas 1 through 3. The equilibrium points are a stable node, an unstable focus, and a saddle in areas 4 and 5. The equilibrium points are a stable focus, an unstable focus, and a saddle in area 6. The equilibrium points are one saddle and two unstable foci in area 7. The equilibrium point is a stable node in areas 8, 9, 11, 19, and 20. The equilibrium point is a stable focus in area 10. The equilibrium point is a saddle for areas 12 through 18. In areas 1, 7, and 17, only LC exists. Areas 2 and 18 present bistability of LC and SLC. In area 3, only SLC exists. In areas 4 and 8, only DB exists. In areas 5 and 9, LC and DB coexist. In areas 6, 10, and 11, LC and nonoscillatory state coexist. Only a periodic switch between DB and NS exists in area 12, and coexists with LC in area 13. A periodic switch between a nonoscillatory state and NS coexists with LC in area 14. LC and SLE coexist in areas 15 and 16. SLE occurs through a fold/Hopf bifurcation in area 15 and through a fold/homoclinic bifurcation in area 16. NS exists in area 19 and coexists with LC in area 20.

  • Figure 36.
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    Figure 36.

    A, Deterministic time series of the Epileptor model ψ varying m and x0. a, a1 , m = −12 and x0 = −1.6. Iext2 = 0.45 ( a) and Iext2 = 0 ( a1 ). The transitions between ictal and normal states occur through a fold/circle bifurcation ( a), and they reduce to transitions between DB and NS ( a1 ). b, b1 , m  =  0 and x0 = −1.6. Iext2 = 0.45 ( b) and Iext2 = 0 ( b1 ). The transitions between ictal and normal states occur through a fold/circle bifurcation ( b), and they reduce to transitions between nonoscillatory state and NS ( b1 ). c, c1 , x0 = −1.6 and Iext2 = 0. m = −1 ( c) and m = −0.5 ( c1 ). The transitions between nonoscillatory state and NS occur through a fold/fold bifurcation ( c) and a fold/Hopf bifurcation ( c1 ). r  =  0.0009 for ( a, a1 ), r  =  0.001 for ( b, b1 ), and r  =  0.0009 for ( c, c1 ). B, Deterministic time series of the Epileptor model ψ, which show the Epileptor remaining in a nonoscillatory state, with m = −2, x0 = −1 and ( a) in NS, with m = −2, x0 = −2.5 ( b). r  =  0.001 for a and b.

  • Figure 37.
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    Figure 37.

    A, B, Deterministic time series of the Epileptor model ψ, subsystem 1 ψ1 and subsystem 2 ψ2 with a chaotic spiking for m  =  1, x0 = −1.6 ( A), and a chaotic transition between ictal and normal states for m  =  1.5, x0 = −1.9 ( B).

  • Figure 38.
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    Figure 38.

    Finding min(X) + 4 (red solid) and max(X) + 4 (black dashed) with respect to m. X is a solution of Equation 41. Blue (dotted) curve corresponds to Embedded Image . The equilibrium points of the subsystem 1 (Embedded Image ) exist according to Equation 42.

  • Figure 39.
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    Figure 39.

    The (x1, y1) phase plane of the subsystem 1. Possible intersections of x1- (black cubic curve Embedded Image and dashed straight line Embedded Image ) and y1- (green parabola) nullclines depending on z and m. Trajectories are plotted without noise starting from different initial conditions (black dot). The arrows indicate the direction of trajectories. The equilibrium points where they exist are labeled by red squares for stable nodes, and black stars for saddles. A, z  =  3.1, three equilibrium points coexist: a stable node (bottom), a saddle (middle), and a stable focus for m  =  0. The stable focus becomes unstable when m  =  1 and m  =  1.5, surrounded by a stable limit cycle. The limit cycle radius increases as m is increased. B, z  =  0, one equilibrium point exists which is an unstable focus surrounded by a stable limit cycle for m  =  0, and a stable focus for m = −10. C, m  =  1.5, one equilibrium point exists for z  =  2.7, and three equilibrium points exist for z  =  4: a stable node, a saddle, and an unstable focus. The stable limit cycle does not surround the unstable focus, and then is broken through a homoclinic bifurcation.

  • Figure 40.
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    Figure 40.

    The (z, x1) subsystem 1 bifurcation diagram with respect to z when m  =  0. On the left, the plot shows a Z-shaped curve Embedded Image . Z-lower (solid) and Z-middle (dash-dotted) branches consist of stable nodes and saddles, respectively. Z-upper (solid) sub-branch consists of stable foci and Z-upper (dashed) sub-branch consists of unstable foci. The two sub-branches are separated by a Hopf bifurcation H. The Z-lower and Z-middle branches collide as z decreases in a saddle-node bifurcation SN1. The Z-upper and Z-middle branches collide as z increases in a saddle-node bifurcation SN2. The Z-shaped curve comprises two branches Embedded Image : one (dashed) consists of unstable nodes and another (dash-dotted) consists of saddles. Decreasing z, they collide in a saddle-node bifurcation, SN.

  • Figure 41.
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    Figure 41.

    A, B, The (Embedded Image ) subsystem 1 bifurcation diagram with respect to z (Embedded Image ), when m  =  0 ( A) and m  =  2 ( B). Z-lower (solid) and Z-middle (dash-dotted) branches consist of stable nodes and saddles, respectively. Z-upper branch consists of unstable foci ( B), and it is divided into two sub-branches separated by a Hopf bifurcation, H ( A): one (solid) consists of stable foci and another (dashed) consists of unstable foci. The Z-lower and Z-middle branches collide as z decreases in a saddle-node bifurcation SN1. The Z-upper (solid for A and dashed for B) and Z-middle branches collide as z increases in a saddle-node bifurcation SN2. A stable limit cycle ends at a Hopf bifurcation ( A) and at a homoclinic bifurcation ( B). The curves Embedded Image and Embedded Image correspond to the maximum, minimum, and averaged values along periodic orbits.

  • Figure 42.
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    Figure 42.

    Finding bifurcation points with respect to m. SN1 (blue dashed) and SN2 (red dash-dotted) correspond to saddle-node bifurcations, and H (black solid) to a Hopf bifurcation. Embedded Image .

  • Figure 43.
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    Figure 43.

    Finding the equilibrium points and periodic orbits of the fast-slow subsystem by using the (z, x1) bifurcation diagram of the subsystem 1 shown in Figure 41. The z-nullcline (Embedded Image ) intersects the Z-shaped curve at equilibrium points, and the Embedded Image curve at periodic orbits. A, B, m  =  0 and x0 = −1.6 ( A), m  =  2 and x0 = −1.6 (top, purple; B) or x0 = −1.9 (bottom, red; B). LC and S are stable and saddle periodic orbits, respectively.

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    Figure 44.

    A, B, Finding equilibrium points of the fast-slow subsystem with respect to x0, for m  =  0 ( A) and m  =  2 ( B). Blue (bottom solid), black (plus sign markers), red (dashed), and green (top solid) branches consist of stable nodes, saddles, unstable foci, and stable foci, respectively. SN1 and SN2 correspond to saddle-node bifurcation points and H to a Hopf bifurcation point.

  • Figure 45.
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    Figure 45.

    Time series of the fast-slow subsystem as m and x0 vary. Initial conditions are [0 −5 3] for left column and [0 −5 1] for right column. r  =  0.002. A, A1 , m  =  0, x0 = −1.6, transitions between upper and lower states occur through a fold/fold bifurcation for A; LC exists for A1 . B, B1 , m  =  2, x0 = −1.6, only LC exists. C, C1 , Embedded Image , SLC1 exists for C and LC for C1 . D, D1 , m  =  2, Embedded Image , transitions between upper and lower states occur through a fold/homoclinic bifurcation for D; LC exists for D1 . E, E1 , Embedded Image , only a resting state exists. F, F1 , m  =  0.5, Embedded Image , transitions between upper and lower states occur through a fold/Hopf bifurcation for F; LC exists for F1 .

  • Figure 46.
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    Figure 46.

    The (Embedded Image ) subsystem 1 bifurcation diagram with respect to z as m and x0 vary. A, m  =  0.5 and x0 = −1.6, transitions between upper and lower branches occur through a fold/Hopf bifurcation. B, m  =  2 and x0 = −1.9, transitions between upper and lower branches occur through a fold/homoclinic bifurcation. C, m  =  2 and x0 = −1.7, the fast-slow subsystem stabilizes before a homoclinic bifurcation occurs, giving rise to the stable limit cycle SLC1. D, m  =  0 and x0 = −2.6, the fast-slow subsystem stabilizes its stable node, which is the equilibrium point of the NS. The z-nullcline and Embedded Image curve do not intersect, hence NS exists and LC does not. r  =  0.0006, I.C = [−0.5 −5 2.831], and Ts = [0:0.01: 1120] for A; r  =  0.002, I.C = [0 −5 2], and Ts = [0:0.01: 1300] for B; r  =  0.003, I.C = [−1.5 −5 4], and Ts = [0:0.01: 600] for C; and r  =  0.002, I.C = [0 −5 2], and Ts = [0:0.01: 1000] for D.

  • Figure 47.
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    Figure 47.

    Periodic orbits of subsystem 1. A, Finding periodic orbits with respect to z (constant). We plot the graph of the Equation 65 on its right-hand side for different values of x0 (from bottom to top; x0 = 1, −0.25, −1.6, −2.4, −2.8) for m  =  0 ( a) and (x0 = −1.6, −1.7, −1.9, −2.6, −2.8) for m  =  2 ( b). Stable and saddle periodic orbits are labeled as black circles and squares, respectively, which disappear as x0 decreases through a SNPO bifurcation. B, The fast-slow subsystem parameter space of periodic orbits and equilibrium points with respect to x0. a, m  =  0. b, m  =  2. Saddle periodic orbits, S, are labeled as black squares (with dot). Stable periodic orbits LC (bottom, red) and SLC1 (top, blue) are labeled as (+) markers. Equilibrium points are labeled as dots. Blue (segment 1), black (segment 2), green (segment 3), and purple (segment 4) dots correspond to stable nodes, saddles, stable foci and unstable foci, respectively.

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    Figure 48.

    Bifurcation diagram of fast-slow subsystem with respect to z, as m and x0 vary. A, m = –8, x0 = −1.4, the fast-slow subsystem exhibits a periodic switch between DB and NS. B, Embedded Image , the fast-slow subsystem stabilizes its stable node which is the equilibrium point of NS. C, Embedded Image , the fast-slow subsystem stabilizes its stable focus, which is the equilibrium point of nonoscillatory state. D, Embedded Image , the fast-slow subsystem stabilizes its stable node, which is the equilibrium point of DB. r  =  0.0005, I.C = [0 −5 2.817], and Ts = [0:0.01: 3000] for A; r  =  0.001, I.C = [0 −5 2], and Ts = [0:0.01: 2000] for B; r  =  0.001, I.C = [−1.5 −5 4], and Ts = [0:0.01: 3500] for C; and r  =  0.0005, I.C = [−1.5 −5 4], and Ts = [0:0.01: 5000] for D.

  • Figure 49.
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    Figure 49.

    Time series of the fast-slow subsystem as m and x0 vary. Initial conditions are [0 −5 3] for left column and [0 −5 −1] for right column. A, A1 , m  =  0, x0 = −0.5, the fast-slow subsystem remains in the nonoscillatory state ( A), which coexists with LC ( A1 ). B, B1 , m  =  0, x0 = −2.4, the fast-slow subsystem remains in the NS ( B), which coexists with LC ( B1 ). C, C1 , m = −8, x0 = −1.4, the fast-slow subsystem switches between DB and NS ( C), coexisting with LC ( C1 ). D, D1 , m = −8, x0 = −0.6, the fast-slow subsystem remains in DB ( D), which coexists with LC ( D1 ). r  =  0.001 ( A, A1 ), r  =  0.005 ( B), r  =  0.001 ( B1 ), r  =  0.005 ( C), r  =  0.001 ( C1 ), r  =  0.001 for ( D), and r  =  0.01 ( D1 ).

  • Figure 50.
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    Figure 50.

    Parameter space of the fast-slow subsystem with respect to the parameters m and x0. There are 10 areas separated by a boundary (bold line), above which LC exists, and below it does not. For large values of m and x0 (area I) only LC exists. The adjacent area II shows the bistability of LC and a stable focus. Both attractors are separated by a saddle periodic orbit. In the middle, LC coexists with the SLE attractor separated by a saddle periodic orbit. SLE occurs via a saddle-node/saddle-node bifurcation (area VI) and a saddle-node/homoclinic bifurcation (area VII). In area VIII, the HB is not completed and gives rise to another (coexisting) stable periodic orbit with a small amplitude. In area V, DB coexists with LC. In area IX, normal brain activity and LC coexist. In area X, only normal activity exists.

  • Figure 51.
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    Figure 51.

    Special cases. A, B, Coexistence of LC and a stable focus even if a saddle periodic orbit does not exist. A, m  =  0, x0 = −0.1. Parameters are as follows: r  =  0.002, I.C = [0 −5 2.83] on the right; I.C = [0 −5 1.5] on the left, and Ts = [0:0.01:600]. B, m  =  0, x0 = −0.05. Parameters are as follows: r  =  0.002, black trajectory: I.C = [0 −5 2.83] and Ts = [0:0.01:600]; Blue trajectory: I.C = [0 −5 2.84] and Ts = [0:0.01:900].

  • Figure 52.
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    Figure 52.

    Subsystem 2 dynamics. A, The (x2, y2) phase plane of the subsystem 2. Possible intersections of x2- (cubic curve) and y2-nullclines depending on Embedded Image . a, Embedded Image , one equilibrium point (stable node) exists, to which trajectory converges. b, Embedded Image , three equilibrium points coexist: a stable node, a saddle, and an unstable focus. Trajectory converges to the stable node. c, Embedded Image , one equilibrium point exists that is an unstable focus. Trajectory converges to a stable limit cycle. B, Bifurcation diagram of subsystem 2 with respect to Embedded Image . The lower (solid), middle (dash-dotted), and upper (dashed) branches of the S-shaped curve consist of stable nodes, saddles, and unstable foci, respectively. A branch of limit cycles (red) originates at a SNIC bifurcation. The curves above and below correspond to the maximum and minimum values along periodic orbits, respectively.

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    Figure 53.

    On the subsystem 2 dynamics. Time series and equilibrium points of subsystem 2 are plotted showing how the subsystem 2 evolves with time when coupled to z and subsystem 1, which is a periodic switch between oscillatory and resting states. On top, time series of Z is plotted. For easier visualization, Z corresponds to z − 2. Blue, black, and green dots correspond to stable nodes, saddles, and unstable foci, respectively. Red dots correspond to unstable foci, which are surrounded by stable limit cycles. Here all simulations were performed without noise.

Tables

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    Table 1

    List of acronyms

    DBDepolarization block
    DetDeterminant
    EEGElectroencephalographic
    HHopf bifurcation
    HBHomoclinic bifurcation
    JJacobian matrix
    LCLimit cycle attractor in the Epileptor
    NSNormal state
    RSERefractory status epilepticus
    SSeparatrix, Saddle periodic orbit
    SDSpreading depression
    SLCSmall limit cycle in the Epileptor
    SLC1Small limit cycle in the fast-slow subsystem
    SLESeizure-like event
    SNSaddle-node bifurcation
    SNICSaddle-node on invariant circle bifurcation
    SNPOSaddle-node of periodic orbits bifurcation
    SWEsSharp-wave events
    TrTrace
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    Table 2

    Equilibrium points stability, Embedded Image

    x1Embedded Image Embedded Image 0αEmbedded Image
    Det+ − + +
    Tr− − − +
    StabilityStable focus/node Saddle Stable focus/node Unstable focus/node
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    Table 3

    Equilibrium points stability, Embedded Image

    x1Embedded Image Embedded Image 0βαEmbedded Image
    Det+ − − + +
    Tr− − − − +
    StabilityStable focus/node Saddle Saddle Stable focus/node Unstable focus/node
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    Table 4

    Equilibrium points stability, Embedded Image

    x1Embedded Image Embedded Image 0βEmbedded Image
    Det+ − − +
    Tr− − + +
    StabilityStable focus/node Saddle Saddle Unstable focus/node
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    Table 5

    Equilibrium points stability, Embedded Image

    Embedded Image 0 γ Embedded Image
    Det− +
    Tr+ +
    Equilibrium point stabilitySaddle Unstable focus/node
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    Table 6

    Stability of subsystem 2 equilibrium points, Embedded Image

    x2Embedded Image Embedded Image Embedded Image -0.25Embedded Image Embedded Image
    Det+ − − + +
    Tr− − + + −
    StabilityStable focus Saddle Saddle Unstable focus Stable focus
    /node /node /node
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The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
Kenza El Houssaini, Christophe Bernard, Viktor K. Jirsa
eNeuro 17 February 2020, 7 (2) ENEURO.0485-18.2019; DOI: 10.1523/ENEURO.0485-18.2019

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The Epileptor Model: A Systematic Mathematical Analysis Linked to the Dynamics of Seizures, Refractory Status Epilepticus, and Depolarization Block
Kenza El Houssaini, Christophe Bernard, Viktor K. Jirsa
eNeuro 17 February 2020, 7 (2) ENEURO.0485-18.2019; DOI: 10.1523/ENEURO.0485-18.2019
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Keywords

  • bifurcation analysis
  • depolarization block
  • dynamical systems theory
  • epilepsy
  • neural mass model
  • refractory status epilepticus

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