ePoster

MODELING THE IMPACT OF LAMOTRIGINE ON INTERICTAL EPILEPTIC SPIKES

Linda Iris Joseph Tomyand 4 co-authors

University of Rennes, Inserm-U1099, LTSI, Rennes, France

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS06-09PM-356

Presentation

Date TBA

Board: PS06-09PM-356

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MODELING THE IMPACT OF LAMOTRIGINE ON INTERICTAL EPILEPTIC SPIKES poster preview

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Poster Board

PS06-09PM-356

Abstract


Overview of the methodology. Left panel: The hippocampal model considers pyramidal neurons (PYR), parvalbumin-positive (PV), somatostatin-positive (SST) and vasoactive intestinal polypeptide-positive (VIP) interneurons, with the recording electrode oriented perpendicular to the slice. Center panel: We simulated LTG dose-dependent shift in the sodium channel’s inactivation curve, which reduces neuronal excitability. The size of this shift grows with LTG dose, following a Michaelis-Menten relationship: ∆ℎ=𝑉_50+[𝐿𝑇𝐺]/(𝑉_𝑚𝑎𝑥∙[𝐿𝑇𝐺]) With this implementation, we simulated the inhibition of action potentials for [𝐿𝑇𝐺]=20 𝜇𝑀. Right panel: the impact of LTG on the simulated local field potential (LFP): Increasing LTG dose (10–60 µM) causes a progressive decrease in LFP amplitude. At higher doses, LFP spikes are strongly reduced and almost completely disappear at 30 µM.Epilepsy is a chronic neurological disorder resulting in recurrent abnormal brain activity such as interictal epileptic spike (IES). About two-thirds of epilepsy patients are treated with antiseizure medications (ASMs), one of the most commonly prescribed being Lamotrigine (LTG), for the treatment of both focal and generalized epilepsy. Here, we aimed to use a neuro-inspired microscale model of the hippocampus to study the impact of LTG on the IES of epileptic tissue. Experimental studies have shown that LTG primarily acts on voltage-gated Na+-channels, resulting in the blockage of excitatory neurotransmitter release and a reduction in sustained repetitive firing of action potentials.
In this study, we used a realistic biomathematical model of the hippocampus to model the impact of LTG on the local field potential (LFP). This was done by simulating a shift in the inactivation curve of the Na+-channel that was dependent on LTG dosage. We then analyzed the impact of LTG on neural spiking behavior from stereo-electroencephalographic (sEEG) recordings. The drug-induced variations observed in the IES detected in clinical recordings, in terms of spike amplitude and power, were compared to that of simulated LFPs. Thus, we were able to validate the simulated impact of LTG and consequently confirm the verity of our implementation. Such a neurophysiologically reliable model can offer a promising approach to improving ASM prescription, especially in the case of refractory epilepsy.

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