The circadian profile of epilepsy improves seizure forecasting

• Published in: Brain (London, England : 1878) Vol. 140; no. 8; pp. 2169 - 2182
• Main Authors: Karoly, Philippa J, Ung, Hoameng, Grayden, David B, Kuhlmann, Levin, Leyde, Kent, Cook, Mark J, Freestone, Dean R
• Format: Journal Article
• Language: English
• Published: England 01.08.2017
• Subjects: Algorithms; Circadian Rhythm - physiology; Electroencephalography; Epilepsy - physiopathology; Forecasting - methods; Humans; Models, Neurological; Seizures - diagnosis; Seizures - physiopathology; epilepsy; seizure prediction; circadian rhythms; forecasting

It is now established that epilepsy is characterized by periodic dynamics that increase seizure likelihood at certain times of day, and which are highly patient-specific. However, these dynamics are not typically incorporated into seizure prediction algorithms due to the difficulty of estimating pat...