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Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states

Many biological processes are modulated by rhythms on circadian and multidien timescales. In focal epilepsy, various seizure features, such as spread and duration, can change from one seizure to the next within the same patient. However, the specific timescales of this variability, as well as the sp...

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Autores principales: Schroeder, Gabrielle M, Karoly, Philippa J, Maturana, Matias, Panagiotopoulou, Mariella, Taylor, Peter N, Cook, Mark J, Wang, Yujiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484289/
https://www.ncbi.nlm.nih.gov/pubmed/37693811
http://dx.doi.org/10.1093/braincomms/fcad205
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author Schroeder, Gabrielle M
Karoly, Philippa J
Maturana, Matias
Panagiotopoulou, Mariella
Taylor, Peter N
Cook, Mark J
Wang, Yujiang
author_facet Schroeder, Gabrielle M
Karoly, Philippa J
Maturana, Matias
Panagiotopoulou, Mariella
Taylor, Peter N
Cook, Mark J
Wang, Yujiang
author_sort Schroeder, Gabrielle M
collection PubMed
description Many biological processes are modulated by rhythms on circadian and multidien timescales. In focal epilepsy, various seizure features, such as spread and duration, can change from one seizure to the next within the same patient. However, the specific timescales of this variability, as well as the specific seizure characteristics that change over time, are unclear. Here, in a cross-sectional observational study, we analysed within-patient seizure variability in 10 patients with chronic intracranial EEG recordings (185–767 days of recording time, 57–452 analysed seizures/patient). We characterized the seizure evolutions as sequences of a finite number of patient-specific functional seizure network states. We then compared seizure network state occurrence and duration to (1) time since implantation and (2) patient-specific circadian and multidien cycles in interictal spike rate. In most patients, the occurrence or duration of at least one seizure network state was associated with the time since implantation. Some patients had one or more seizure network states that were associated with phases of circadian and/or multidien spike rate cycles. A given seizure network state’s occurrence and duration were usually not associated with the same timescale. Our results suggest that different time-varying factors modulate within-patient seizure evolutions over multiple timescales, with separate processes modulating a seizure network state’s occurrence and duration. These findings imply that the development of time-adaptive treatments in epilepsy must account for several separate properties of epileptic seizures and similar principles likely apply to other neurological conditions.
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spelling pubmed-104842892023-09-08 Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states Schroeder, Gabrielle M Karoly, Philippa J Maturana, Matias Panagiotopoulou, Mariella Taylor, Peter N Cook, Mark J Wang, Yujiang Brain Commun Original Article Many biological processes are modulated by rhythms on circadian and multidien timescales. In focal epilepsy, various seizure features, such as spread and duration, can change from one seizure to the next within the same patient. However, the specific timescales of this variability, as well as the specific seizure characteristics that change over time, are unclear. Here, in a cross-sectional observational study, we analysed within-patient seizure variability in 10 patients with chronic intracranial EEG recordings (185–767 days of recording time, 57–452 analysed seizures/patient). We characterized the seizure evolutions as sequences of a finite number of patient-specific functional seizure network states. We then compared seizure network state occurrence and duration to (1) time since implantation and (2) patient-specific circadian and multidien cycles in interictal spike rate. In most patients, the occurrence or duration of at least one seizure network state was associated with the time since implantation. Some patients had one or more seizure network states that were associated with phases of circadian and/or multidien spike rate cycles. A given seizure network state’s occurrence and duration were usually not associated with the same timescale. Our results suggest that different time-varying factors modulate within-patient seizure evolutions over multiple timescales, with separate processes modulating a seizure network state’s occurrence and duration. These findings imply that the development of time-adaptive treatments in epilepsy must account for several separate properties of epileptic seizures and similar principles likely apply to other neurological conditions. Oxford University Press 2023-07-19 /pmc/articles/PMC10484289/ /pubmed/37693811 http://dx.doi.org/10.1093/braincomms/fcad205 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Schroeder, Gabrielle M
Karoly, Philippa J
Maturana, Matias
Panagiotopoulou, Mariella
Taylor, Peter N
Cook, Mark J
Wang, Yujiang
Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
title Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
title_full Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
title_fullStr Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
title_full_unstemmed Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
title_short Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
title_sort chronic intracranial eeg recordings and interictal spike rate reveal multiscale temporal modulations in seizure states
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484289/
https://www.ncbi.nlm.nih.gov/pubmed/37693811
http://dx.doi.org/10.1093/braincomms/fcad205
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