Journal article

Forecasting Cycles of Seizure Likelihood

Philippa Karoly, Matias Maturana, Mark Cook, Ewan Nurse, Daniel Payne, Benjamin Brinkmann, David Grayden, Sonya Dumanis, Mark Richardson, Greg Worrell, Andreas Schulze-Bonhage, Levin Kuhlmann, Dean Freestone

Cold Spring Harbor Laboratory | Published : 2019

Abstract

Objective: Seizure unpredictability is rated as one of the most challenging aspects of living with epilepsy. Seizure likelihood can be influenced by a range of environmental and physiological factors that are difficult to measure and quantify. However, some generalizable patterns have been demonstrated in seizure onset. A majority of people with epilepsy exhibit circadian rhythms in their seizure times and many also show slower, multiday patterns. Seizure cycles can be measured using a range of recording modalities, including self-reported electronic seizure diaries. This study aimed to develop personalized forecasts from a mobile seizure diary app. Methods: Forecasts based on circadian and ..

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