The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Multi-day rhythms modulate seizure risk in epilepsy
Open accessAbstract
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.
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Cites
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Seizure prediction: the long and winding road
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On the nature of seizure dynamics
Jirsa, V. K., Stacey, W. C., Quilichini, P. P., Ivanov, A. I., & Bernard, C. (2014) · Brain · doi:10.1093/brain/awu133 · Cited by 770
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Glutamatergic pre-ictal discharges emerge at the transition to seizure in human epilepsy
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Cited by
Nine-year prospective efficacy and safety of brain-responsive neurostimulation for focal epilepsy
Nair, D. R., Laxer, K. D., Weber, P. B., Murro, A. M., Park, Y. D., Barkley, G. L., Smith, B. J., Gwinn, R. P., Doherty, M. J., Noe, K. H., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000010154 · Cited by 490
Seizure prediction – ready for a new era
Kuhlmann, L., Lehnertz, K., Richardson, M. P., Schelter, B., & Zaveri, H. P. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0055-2 · Cited by 450
The kainic acid models of temporal lobe epilepsy
Rusina, E., Bernard, C., & Williamson, A. (2021) · eneuro · doi:10.1523/eneuro.0337-20.2021 · Cited by 225
Machine learning and wearable devices of the future
Beniczky, S., Karoly, P., Nurse, E., Ryvlin, P., & Cook, M. (2021) · Epilepsia · doi:10.1111/epi.16555 · Cited by 155
Dead in the Night: Sleep-Wake and Time-Of-Day Influences on Sudden Unexpected Death in Epilepsy
Purnell, B. S., Thijs, R. D., & Buchanan, G. F. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01079 · Cited by 67
Metadata
- Authors
- Baud, M. O., Kleen, J. K., Mirro, E. A., Andrechak, J. C., King-Stephens, D., Chang, E. F., & Rao, V. R.
- Venue
- Nature Communications
- Published
- 2018-01-08
- Volume
- 9
- Issue
- 1
- Pages
- 88-88
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2782520840
- Cited by
- 532
- References
- 46
- FWCI
- 37.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Baud, M. O., Kleen, J. K., Mirro, E. A., Andrechak, J. C., King-Stephens, D., Chang, E. F., & Rao, V. R. (2018). Multi-day rhythms modulate seizure risk in epilepsy. Nature Communications. https://doi.org/10.1038/s41467-017-02577-y
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