Cargando…
Multi-day rhythms modulate seizure risk in epilepsy
Epilepsy is defined by the seemingly random occurrence of spontaneous seizures. The ability to anticipate seizures would enable preventative treatment strategies. A central but unresolved question concerns the relationship of seizure timing to fluctuating rates of interictal epileptiform discharges...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758806/ https://www.ncbi.nlm.nih.gov/pubmed/29311566 http://dx.doi.org/10.1038/s41467-017-02577-y |
_version_ | 1783291067135688704 |
---|---|
author | Baud, Maxime O. Kleen, Jonathan K. Mirro, Emily A. Andrechak, Jason C. King-Stephens, David Chang, Edward F. Rao, Vikram R. |
author_facet | Baud, Maxime O. Kleen, Jonathan K. Mirro, Emily A. Andrechak, Jason C. King-Stephens, David Chang, Edward F. Rao, Vikram R. |
author_sort | Baud, Maxime O. |
collection | PubMed |
description | Epilepsy is defined by the seemingly random occurrence of spontaneous seizures. The ability to anticipate seizures would enable preventative treatment strategies. A central but unresolved question concerns the relationship of seizure timing to fluctuating rates of interictal epileptiform discharges (here termed interictal epileptiform activity, IEA), a marker of brain irritability observed between seizures by electroencephalography (EEG). Here, in 37 subjects with an implanted brain stimulation device that detects IEA and seizures over years, we find that IEA oscillates with circadian and subject-specific multidien (multi-day) periods. Multidien periodicities, most commonly 20–30 days in duration, are robust and relatively stable for up to 10 years in men and women. We show that seizures occur preferentially during the rising phase of multidien IEA rhythms. Combining phase information from circadian and multidien IEA rhythms provides a novel biomarker for determining relative seizure risk with a large effect size in most subjects. |
format | Online Article Text |
id | pubmed-5758806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57588062018-01-12 Multi-day rhythms modulate seizure risk in epilepsy Baud, Maxime O. Kleen, Jonathan K. Mirro, Emily A. Andrechak, Jason C. King-Stephens, David Chang, Edward F. Rao, Vikram R. Nat Commun Article Epilepsy is defined by the seemingly random occurrence of spontaneous seizures. The ability to anticipate seizures would enable preventative treatment strategies. A central but unresolved question concerns the relationship of seizure timing to fluctuating rates of interictal epileptiform discharges (here termed interictal epileptiform activity, IEA), a marker of brain irritability observed between seizures by electroencephalography (EEG). Here, in 37 subjects with an implanted brain stimulation device that detects IEA and seizures over years, we find that IEA oscillates with circadian and subject-specific multidien (multi-day) periods. Multidien periodicities, most commonly 20–30 days in duration, are robust and relatively stable for up to 10 years in men and women. We show that seizures occur preferentially during the rising phase of multidien IEA rhythms. Combining phase information from circadian and multidien IEA rhythms provides a novel biomarker for determining relative seizure risk with a large effect size in most subjects. Nature Publishing Group UK 2018-01-08 /pmc/articles/PMC5758806/ /pubmed/29311566 http://dx.doi.org/10.1038/s41467-017-02577-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Baud, Maxime O. Kleen, Jonathan K. Mirro, Emily A. Andrechak, Jason C. King-Stephens, David Chang, Edward F. Rao, Vikram R. Multi-day rhythms modulate seizure risk in epilepsy |
title | Multi-day rhythms modulate seizure risk in epilepsy |
title_full | Multi-day rhythms modulate seizure risk in epilepsy |
title_fullStr | Multi-day rhythms modulate seizure risk in epilepsy |
title_full_unstemmed | Multi-day rhythms modulate seizure risk in epilepsy |
title_short | Multi-day rhythms modulate seizure risk in epilepsy |
title_sort | multi-day rhythms modulate seizure risk in epilepsy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758806/ https://www.ncbi.nlm.nih.gov/pubmed/29311566 http://dx.doi.org/10.1038/s41467-017-02577-y |
work_keys_str_mv | AT baudmaximeo multidayrhythmsmodulateseizureriskinepilepsy AT kleenjonathank multidayrhythmsmodulateseizureriskinepilepsy AT mirroemilya multidayrhythmsmodulateseizureriskinepilepsy AT andrechakjasonc multidayrhythmsmodulateseizureriskinepilepsy AT kingstephensdavid multidayrhythmsmodulateseizureriskinepilepsy AT changedwardf multidayrhythmsmodulateseizureriskinepilepsy AT raovikramr multidayrhythmsmodulateseizureriskinepilepsy |