TY - JOUR
T1 - Cycles in epilepsy
AU - Karoly, Philippa J.
AU - Rao, Vikram R.
AU - Gregg, Nicholas M.
AU - Worrell, Gregory A.
AU - Bernard, Christophe
AU - Cook, Mark J.
AU - Baud, Maxime O.
N1 - Funding Information:
The research of M.O.B. is supported by the Swiss National Science Foundation in the form of an Ambizione grant, number PZ00P3_179929/1, and by the Velux Stiftung, grant #1232. V.R.R. is supported by the Ernest Gallo Foundation Distinguished Professorship in Neurology at the University of California, San Francisco.
Publisher Copyright:
© 2021, Springer Nature Limited.
PY - 2021/5
Y1 - 2021/5
N2 - Epilepsy is among the most dynamic disorders in neurology. A canonical view holds that seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans have looked for patterns of temporal organization in seizure occurrence. Observations that seizures are cyclical date back to antiquity, but recent technological advances have, for the first time, enabled cycles of seizure occurrence to be quantitatively characterized with direct brain recordings. Chronic recordings of brain activity in humans and in animals have yielded converging evidence for the existence of cycles of epileptic brain activity that operate over diverse timescales: daily (circadian), multi-day (multidien) and yearly (circannual). Here, we review this evidence, synthesizing data from historical observational studies, modern implanted devices, electronic seizure diaries and laboratory-based animal neurophysiology. We discuss advances in our understanding of the mechanistic underpinnings of these cycles and highlight the knowledge gaps that remain. The potential clinical applications of a knowledge of cycles in epilepsy, including seizure forecasting and chronotherapy, are discussed in the context of the emerging concept of seizure risk. In essence, this Review addresses the broad question of why seizures occur when they occur.
AB - Epilepsy is among the most dynamic disorders in neurology. A canonical view holds that seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans have looked for patterns of temporal organization in seizure occurrence. Observations that seizures are cyclical date back to antiquity, but recent technological advances have, for the first time, enabled cycles of seizure occurrence to be quantitatively characterized with direct brain recordings. Chronic recordings of brain activity in humans and in animals have yielded converging evidence for the existence of cycles of epileptic brain activity that operate over diverse timescales: daily (circadian), multi-day (multidien) and yearly (circannual). Here, we review this evidence, synthesizing data from historical observational studies, modern implanted devices, electronic seizure diaries and laboratory-based animal neurophysiology. We discuss advances in our understanding of the mechanistic underpinnings of these cycles and highlight the knowledge gaps that remain. The potential clinical applications of a knowledge of cycles in epilepsy, including seizure forecasting and chronotherapy, are discussed in the context of the emerging concept of seizure risk. In essence, this Review addresses the broad question of why seizures occur when they occur.
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U2 - 10.1038/s41582-021-00464-1
DO - 10.1038/s41582-021-00464-1
M3 - Review article
C2 - 33723459
AN - SCOPUS:85102750010
SN - 1759-4758
VL - 17
SP - 267
EP - 284
JO - Nature Reviews Neurology
JF - Nature Reviews Neurology
IS - 5
ER -