Journal article

Cycles of self-reported seizure likelihood correspond to yield of diagnostic epilepsy monitoring

Philippa J Karoly, Dominique Eden, Ewan S Nurse, Mark J Cook, Janelle Taylor, Sonya Dumanis, Mark P Richardson, Benjamin H Brinkmann, Dean R Freestone

EPILEPSIA | WILEY | Published : 2021

Abstract

OBJECTIVE: Video-electroencephalography (vEEG) is an important component of epilepsy diagnosis and management. Nevertheless, inpatient vEEG monitoring fails to capture seizures in up to one third of patients. We hypothesized that personalized seizure forecasts could be used to optimize the timing of vEEG. METHODS: We used a database of ambulatory vEEG studies to select a cohort with linked electronic seizure diaries of more than 20 reported seizures over at least 8 weeks. The total cohort included 48 participants. Diary seizure times were used to detect individuals' multiday seizure cycles and estimate times of high seizure risk. We compared whether estimated seizure risk was significantly d..

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Grants

Awarded by BioMedTech Horizons grant


Funding Acknowledgements

This project was supported by the Epilepsy Foundation of America's Epilepsy Innovation Institute "My Seizure Gauge" grant. This project was supported by a BioMedTech Horizons grant (#239), a program of the Australian Government's Medical Research Future Fund.