ArticleProceedings of the National Academy of Sciences of the United States of America2020
Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- The seizure embedding map: a spatio-temporal transformer for comparing patients by ictal intracranial EEG features at scale.Journal of neural engineering · 2026Article
- Article
- Dual mechanism of anti-seizure medications in controlling seizure activity.Brain communications · 2026Article
- The Seizure Embedding Map: A Spatio-Temporal Transformer for Comparing Patients by Ictal Intracranial EEG Features at Scale.medRxiv : the preprint server for health sciences · 2025Article
- Can electrical stimulation replace spontaneous seizures in epilepsy surgery?medRxiv : the preprint server for health sciences · 2025Article
- AstrocytePNAS nexus · 2025Article
- Computational modeling of frequency-dependent neocortical response to thalamic neurostimulation in epilepsy.PLoS computational biology · 2025Article
- ECG-based epileptic seizure prediction: Challenges of current data-driven models.Epilepsia open · 2025Article
- Variability and predictability in human sleep.Brain communications · 2025Article
- A Nonlinear Method to Identify Seizure Dynamic Trajectory Based on Variance of Recurrence Rate in Human Epilepsy Patients Using EEG.Journal of medical signals and sensors · 2025Article
- Diminished circadian and ultradian rhythms of human brain activity in pathological tissue in vivo.Nature communications · 2024Article
- Clinical Correlation of Altered Molecular Signatures in Epileptic Human Hippocampus and Amygdala.Molecular neurobiology · 2024Article
- Individualized Seizure Cluster Prediction Using Machine Learning and Chronic Ambulatory Intracranial EEG.IEEE transactions on nanobioscience · 2023Article
- Computational modeling allows unsupervised classification of epileptic brain states across species.Scientific reports · 2023Article
- The seizure severity score: a quantitative tool for comparing seizures and their response to therapy.Journal of neural engineering · 2023Article
- Temporal stability of intracranial electroencephalographic abnormality maps for localizing epileptogenic tissue.Epilepsia · 2023Article
- A library of quantitative markers of seizure severity.Epilepsia · 2023Article
- Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy.Scientific reports · 2023Article
- Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states.Brain communications · 2023Article
- The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.Frontiers in network physiology · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
Personalized medicine requires that treatments adapt to not only the patient but also changing factors within each individual. Although epilepsy is a dynamic disorder characterized by pathological fluctuations in brain state, surprisingly little is known about whether and how seizures vary in the same patient. We quantitatively compared within-patient seizure network evolutions using intracranial electroencephalographic (iEEG) recordings of over 500 seizures from 31 patients with focal epilepsy (mean 16.5 seizures per patient). In all patients, we found variability in seizure paths through the space of possible network dynamics. Seizures with similar pathways tended to occur closer together in time, and a simple model suggested that seizure pathways change on circadian and/or slower timescales in the majority of patients. These temporal relationships occurred independent of whether the patient underwent antiepileptic medication reduction. Our results suggest that various modulatory processes, operating at different timescales, shape within-patient seizure evolutions, leading to variable seizure pathways that may require tailored treatment approaches.
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