ArticleBrain communications2023
Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states.
Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Epilepsy and multidimensional time: a phenomenological and neurocognitive perspective inspired by theoretical physics.Frontiers in psychology · 2026Article
- Dual mechanism of anti-seizure medications in controlling seizure activity.Brain communications · 2026Article
- Refuting a Temporal Correlation: Interictal Epileptic Discharges Do Not Preferentially Occur During Respiratory Events in Patients With Sleep-Related Breathing Disorder and Epilepsy.Journal of sleep research · 2025Article
- Can electrical stimulation replace spontaneous seizures in epilepsy surgery?medRxiv : the preprint server for health sciences · 2025Article
- State-dependent effects of responsive neurostimulation depend on seizure localization.Brain : a journal of neurology · 2025Article
- Hippocampal network activity forecasts epileptic seizures.Nature medicine · 2024Article
- AN ONLINE SPIKE DETECTION AND MONITORING FRAMEWORK IN IEEG RECORDED USING BRAIN INTERCHANGE DEVICE.Proceedings of the ... International Brain-Computer Interface Conference · 2024Article
- A library of quantitative markers of seizure severity.Epilepsia · 2023Article
- Focal seizures unfold variably over time.Brain communications · 2023Article
- Multiple mechanisms shape the relationship between pathway and duration of focal seizures.Brain communications · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
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.
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