Anti-seizure medication tapering correlates with daytime delta band power reduction in the cortex

Anti-seizure medications are the primary treatment for epilepsy; yet medication tapering effects have not been investigated in a dose, region and time-dependent manner, despite their potential impact on research and clinical practice. We examined over 3000 h of intracranial EEG recordings in 32 subjects during long-term monitoring, of which 22 underwent concurrent anti-seizure medication tapering. We estimated anti-seizure medication plasma levels based on known pharmaco-kinetics of all the major anti-seizure medication types. We found an overall decrease in the power of delta band (<i>δ</i>) activity around the period of maximum medication withdrawal in most (80%) subjects, independent of their epilepsy type or medication combination. The degree of withdrawal correlated positively with the magnitude of <i>δ</i> power decrease. This dose-dependent effect was evident across all recorded cortical regions during daytime; but not in subcortical regions, or during night time. We found no evidence of a differential effect in seizure onset, spiking, or pathological brain regions. The finding of decreased <i>δ</i> band power during anti-seizure medication tapering agrees with previous literature. Our observed dose-dependent effect indicates that monitoring anti-seizure medication levels in cortical regions may be feasible for applications such as medication reminder systems, or closed-loop anti-seizure medication delivery systems. Anti-seizure medications are also used in other neurological and psychiatric conditions, making our findings relevant to a general neuroscience and neurology audience.

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Publication Details

Journal
Brain Communications
Published
2024-12-24
DOI
https://doi.org/10.1093/braincomms/fcaf020
Citations
5
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.71

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article

Anti-seizure medication tapering correlates with daytime delta band power reduction in the cortex

John S. Duncan, Yujiang Wang, Jane de Tisi, Guillermo M. Besné et al.
5 citations
Brain Communications
EEG and Brain-Computer Interfaces
1.71
article

Anti-seizure medication tapering correlates with daytime delta band power reduction in the cortex

John S. Duncan, Yujiang Wang, Jane de Tisi, Guillermo M. Besné, Beate Diehl, Anna Miserocchi, Fahmida A Chowdhury, Mariella Panagiotopoulou, Matthew C. Walker, Nathan Evans, Andrew W. McEvoy, Peter N. Taylor, Billy Smith, Chris Thornton
article en
5 citations

Abstract

Anti-seizure medications are the primary treatment for epilepsy; yet medication tapering effects have not been investigated in a dose, region and time-dependent manner, despite their potential impact on research and clinical practice. We examined over 3000 h of intracranial EEG recordings in 32 subjects during long-term monitoring, of which 22 underwent concurrent anti-seizure medication tapering. We estimated anti-seizure medication plasma levels based on known pharmaco-kinetics of all the major anti-seizure medication types. We found an overall decrease in the power of delta band (<i>δ</i>) activity around the period of maximum medication withdrawal in most (80%) subjects, independent of their epilepsy type or medication combination. The degree of withdrawal correlated positively with the magnitude of <i>δ</i> power decrease. This dose-dependent effect was evident across all recorded cortical regions during daytime; but not in subcortical regions, or during night time. We found no evidence of a differential effect in seizure onset, spiking, or pathological brain regions. The finding of decreased <i>δ</i> band power during anti-seizure medication tapering agrees with previous literature. Our observed dose-dependent effect indicates that monitoring anti-seizure medication levels in cortical regions may be feasible for applications such as medication reminder systems, or closed-loop anti-seizure medication delivery systems. Anti-seizure medications are also used in other neurological and psychiatric conditions, making our findings relevant to a general neuroscience and neurology audience.

Brain CommunicationsVol. 7(1)
National Hospital for Neurology and Neurosurgery (GB), University College London (GB), Newcastle University (GB)
National Institute for Health and Care Research, University College London
Good health and well-being
Openalex Percentile: Top 15%
EEG and Brain-Computer Interfaces
1.71
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