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Dual mechanism of anti-seizure medications in controlling seizure activity

Lookup NU author(s): Guillermo BesneORCiD, Dr Emmanuel MolefiORCiD, Billy Smith, Nathan Evans, Dr Sarah Gascoigne, Dr Christopher ThorntonORCiD, Professor Peter TaylorORCiD, Professor Yujiang WangORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© The Author(s) 2026. Published by Oxford University Press on behalf of the Guarantors of Brain.Abstract Anti-seizure medications (ASMs) can reduce seizure duration, but their precise modes of action are unclear. Specifically, it is unknown whether ASMs shorten seizures by curtailing existing seizure activity early or by selectively suppressing certain seizure activity patterns from emerging. We retrospectively analysed intracranial EEG (iEEG) recordings of 457 seizures from 28 people with epilepsy undergoing ASM tapering. Beyond measuring seizure occurrence and duration, we categorized distinct seizure propagation activity patterns (states) based on spatial and frequency power characteristics and related these to different ASM levels. We found that reducing ASM levels led to increased seizure frequency (r = 0.87, P < 0.001) and longer seizure duration (β = −0.033, P < 0.001), consistent with prior research. Further analysis revealed two distinct mechanisms in which seizures became prolonged: Emergence of new seizure propagation patterns—In ∼40% of patients, ASM tapering unmasked additional seizure activity states, and seizures containing these ‘taper-emergent states’ were substantially longer (r = 0.49, P < 0.001). Prolongation of existing seizure patterns—Even in seizures without taper-emergent states, lower ASM levels still resulted in ∼12–224% longer durations depending on the ASM dosage and tapering (β = −0.049, P < 0.001). ASMs influence seizures through two mechanisms: they (i) suppress specific seizure propagation patterns (states) in an all-or-nothing fashion and (ii) curtail the duration of other seizure patterns. These findings highlight the complex role of ASMs in seizure modulation and could inform personalized dosing strategies for epilepsy management. These findings may also have implications in understanding the effects of ASMs on cognition and mood.


Publication metadata

Author(s): Besne GM, Molefi E, Smith B, Evans N, Gascoigne SJ, Thornton C, Chowdhury FA, Diehl B, Duncan JS, McEvoy AW, Miserocchi A, de Tisi J, Walker MC, Taylor PN, Wang Y

Publication type: Article

Publication status: Published

Journal: Brain Communications

Year: 2026

Volume: 8

Issue: 2

Online publication date: 16/03/2026

Acceptance date: 12/03/2026

Date deposited: 21/04/2026

ISSN (electronic): 2632-1297

Publisher: Oxford University Press

URL: https://doi.org/10.1093/braincomms/fcag088

DOI: 10.1093/braincomms/fcag088

Data Access Statement: Anonymized seizure state data and ASM intake schedule, along with analysis code, is available on GitHub: https://github.com/cnnp-lab/2025_ASM-SzState_GMB.


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Funding

Funder referenceFunder name
ADLINK
Engineering and Physical Sciences Research Council (EP/L015358/1)
Epilepsy Research Institute Studentship
UK Research and Innovation Future Leaders Fellowships (MR/T04294X/1, MR/V026569/1, MR/Y034104/1)

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