Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network

Suffczyński, Piotr; Kalitzin, Stiliyan; Silva, F.H. Lopes Da

doi:10.1016/j.neuroscience.2004.03.014

Cited by 306 publications

(270 citation statements)

References 73 publications

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“…These simulations confirmed that mixing the dynamics in this way continued to yield unimodal exponential PDFs. Subcritical Hopf bifurcations have been proposed to account for the erratic nature of seizure activity (Robinson et al, 2002;Lopes da Silva et al, 2003;Suffczynski et al, 2004;Breakspear et al, 2006). In the present report, we show that a similar mechanism involving a physiological limit cycle also accounts for healthy spontaneous activity.…”

Section: Discussionsupporting

confidence: 71%

Biophysical Mechanisms of Multistability in Resting-State Cortical Rhythms

Freyer¹,

Roberts²,

Becker³

et al. 2011

J. Neurosci.

284

285

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The human alpha (8 -12 Hz) rhythm is one of the most prominent, robust, and widely studied attributes of ongoing cortical activity. Contrary to the prevalent notion that it simply "waxes and wanes," spontaneous alpha activity bursts erratically between two distinct modes of activity. We now establish a mechanism for this multistable phenomenon in resting-state cortical recordings by characterizing the complex dynamics of a biophysical model of macroscopic corticothalamic activity. This is achieved by studying the predicted activity of cortical and thalamic neuronal populations in this model as a function of its dynamic stability and the role of nonspecific synaptic noise. We hence find that fluctuating noisy inputs into thalamic neurons elicit spontaneous bursts between low-and high-amplitude alpha oscillations when the system is near a particular type of dynamical instability, namely a subcritical Hopf bifurcation. When the postsynaptic potentials associated with these noisy inputs are modulated by cortical feedback, the SD of power within each of these modes scale in proportion to their mean, showing remarkable concordance with empirical data. Our state-dependent corticothalamic model hence exhibits multistability and scale-invariant fluctuations-key features of resting-state cortical activity and indeed, of human perception, cognition, and behavior-thus providing a unified account of these apparently divergent phenomena.

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Section: Discussionsupporting

confidence: 71%

Biophysical Mechanisms of Multistability in Resting-State Cortical Rhythms

Freyer¹,

Roberts²,

Becker³

et al. 2011

J. Neurosci.

284

285

View full text Add to dashboard Cite

show abstract

“…1) The Case of "Jump Transitions": Based on an earlier computational model of interacting neuronal thalamo-cortical networks [106], the conditions under which these networks generate epileptiform activity in the form of spike and wave (SW) discharges were investigated [107]. The model was constructed at the macroscopic level since such approach allows investigating dynamical properties of the system and the role played by different mechanisms in the process of seizure generation, both at short-and long-time scales.…”

Section: A the Need For Computational Neurosciencesmentioning

confidence: 99%

The Impact of EEG/MEG Signal Processing and Modeling in the Diagnostic and Management of Epilepsy

Silva

2008

IEEE Rev. Biomed. Eng.

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“…This type of "fast" spike-and-wave seizure was modeled phenomenologically, based on coexisting attractor dynamics (Suffczynski et al, 2004). …”

Section: Ivb Model Of "Fast" (5-10 Hz) Spike-and-wave Oscillations Imentioning

confidence: 99%

Computational Neuroscience in Epilepsy

2008

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Over the last years, decisive experimental data have been obtained concerning the biophysical mechanisms and ion channels properties important for seizure generation. Computational models have succeeded in proposing plausible mechanisms to explain the sudden emergence of hypersynchronized oscillations at ∼3 Hz (or 5-10 Hz in some species), which are associated with "spike-andwave" complexes in the electroencephalogram (EEG). The underlying mechanisms of such seizures involve thalamocortical loops, the particular oscillatory properties of thalamic neurons, and the particular biophysical properties of some receptor types (such as the GABA B receptor). Here, we overview these mechanisms step by step, starting from the genesis of hypersynchronized oscillations by thalamic circuits. We next consider how cortical circuits can generate spike-and-wave EEG patterns. These mechanisms are then merged together in thalamocortical loops, where we emphasize the central role played by the "feedback" projections from cortex to thalamus. If for some reason the corticothalamic feedback becomes too strong, thalamic circuits can switch to a slower and hypersynchronized oscillatory mode, which in turn entrains the whole thalamocortical system into hypersynchronized oscillations with spike-and-wave EEG patterns. We suggest that the key to explain absence seizures is this switching mechanism of thalamic circuits, induced by exceedingly strong corticothalamic feedback. Such a switch was identified in experiments in vitro, in which oscillatory properties could be controlled by stimulating corticothalamic fibers. According to this mechanism, absence seizures result from anomalously high cortical excitability with a physiologically intact thalamus. I IntroductionAbsence epileptic seizures (also called "petit-mal") are characterized in humans by a sudden appearance of ∼3 Hz large-amplitude oscillations in the electroencephalogram (EEG) (Fig. 1). These generalized oscillations have a sudden onset, and the seizure seems to invade the entire cerebral cortex nearly simultaneously. The typical pattern of the oscillation consists of one or several sharp deflections ("spikes") followed by a surface-positive "wave". Spike-and-wave patterns of similar characteristics are also seen in a number of experimental models in cats, rats, mice and monkeys. Fig. 1 hereLike many other pathologies, absence epilepsy can result from the disturbance of mechanisms of synaptic transmission (reviewed in Gloor and Fariello, 1988;Crunelli and Leresche, 2002). In particular, disturbing inhibitory interactions has been found to be extremely effective for generating seizures, sometimes with contrasting effects (reviewed in Sperk et al., 2004). In thalamus and cortex, inhibitory transmission essentially uses γ-aminobutyric acid (GABA) as transmitter, and operates through two main receptor Destexhe A, In: Computational Neuroscience in Epilepsy, (Ed. Soltesz I and Staley K), Elsevier, 2008 2 types, called GABA A and GABA B . These two receptors mediate fast and slow ...

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Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network

Cited by 306 publications

References 73 publications

Biophysical Mechanisms of Multistability in Resting-State Cortical Rhythms

Biophysical Mechanisms of Multistability in Resting-State Cortical Rhythms

The Impact of EEG/MEG Signal Processing and Modeling in the Diagnostic and Management of Epilepsy

Computational Neuroscience in Epilepsy

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