Understanding Epileptiform After-Discharges as Rhythmic Oscillatory Transients

TL;DR

This paper uses a thalamo-cortical neural model to analyze the dynamic mechanisms behind epileptiform after-discharges, revealing how bifurcations and state space geometry cause rhythmic transients and variability in responses.

Contribution

It introduces a bifurcation-based explanation for the variability of epileptiform transients, linking state space geometry to rhythmic oscillations in a neural population model.

Findings

Rhythmic transients arise near fold of cycles bifurcation.

Bistability between oscillatory and steady states explains transient duration.

Variability in responses is related to background oscillatory activity.

Abstract

Electro-cortical activity in patients with epilepsy may show abnormal rhythmic transients in response to stimulation. Even when using the same stimulation parameters in the same patient, wide variability in the duration of transient response has been reported. These transients have long been considered important for the mapping of the excitability levels in the epileptic brain but their dynamic mechanism is still not well understood. To understand the occurrence of abnormal transients dynamically, we use a thalamo-cortical neural population model of epileptic spike-wave activity and study the interaction between slow and fast subsystems. In a reduced version of the thalamo-cortical model, slow wave oscillations arise from a fold of cycles (FoC) bifurcation. This marks the onset of a region of bistability between a high amplitude oscillatory rhythm and the background state. In vicinity of the bistability in parameter space, the model has excitable dynamics, showing prolonged rhythmic transients in response to suprathreshold pulse stimulation. We analyse the state space geometry of the bistable and excitable states, and find that the rhythmic transient arises when the impending FoC bifurcation deforms the state space and creates an area of locally reduced attraction to the fixed point. This area essentially allows trajectories to dwell there before escaping to the stable steady state, thus creating rhythmic transients. In the full thalamo-cortical model, we find a similar FoC bifurcation structure. Based on the analysis, we propose an explanation of why stimulation induced epileptiform activity may vary between trials, and predict how the variability could be related to ongoing oscillatory background activity.