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

Author:

Schroeder Gabrielle M1,Karoly Philippa J23ORCID,Maturana Matias234,Panagiotopoulou Mariella1,Taylor Peter N156ORCID,Cook Mark J2ORCID,Wang Yujiang156

Affiliation:

1. Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University CNNP Lab ( www.cnnp-lab.com ), , Newcastle upon Tyne NE4 5TG , UK

2. Graeme Clark Institute and St Vincent’s Hospital, University of Melbourne, Parkville , Victoria 3010 , Australia

3. Department of Biomedical Engineering, University of Melbourne , Parkville, Victoria 3010 , Australia

4. Research Department, Seer Medical Pty Ltd. , Melbourne, Victoria 3000 , Australia

5. Faculty of Medical Sciences, Newcastle University , Newcastle upon Tyne NE1 7RU , UK

6. UCL Queen Square Institute of Neurology, Queen Square , London WC1N 3BG , UK

Abstract

Abstract 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.

Funder

National Health and Medical Research

UK Research and Innovation Future Leaders Fellowships

Publisher

Oxford University Press (OUP)

Subject

Neurology,Cellular and Molecular Neuroscience,Biological Psychiatry,Psychiatry and Mental health

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