Insel Gruppe AG, University Hospital Bern
The occurrence of seizures in epilepsy is not entirely random. Temporal patterns that organize the occurrence of seizures over weeks and months were previously unraveled using intracranial EEG System (IEEG) that monitors epileptic brain activity chronically. Seizures typically recur with patient-specific periodicity and are preceded by increases of epileptic brain activity over days. Here, the investigators developed new methods to forecast seizure likelihoods at a 24-h horizon. In this trial, participants will be provided with daily estimates about their upcoming risk of seizures. As a primary outcome, the performance of forecasts will be evaluated against the occurrence of electrographic seizures. As secondary outcome, the forecast's potential benefit for users in conveying actionable information in real-life will be assessed.
Inclusion Criteria: * Adult with diagnosed pharmacoresistant epilepsy and at least one self-reported seizure in the last 12 months. * Patients previously implanted with the RNS System, on stable detection settings enabling reliable detection of electrographic seizures. * Patients willing and able to keep a diary, issue self-forecasts, and follow instructions. * Home equipped with an internet connection. * Informed Consent signed by the subject Exclusion Criteria: * Insufficient number of electrographic seizures or insufficient forecasting performance in the training phase. * Women pregnant…
Participants are provided with daily risk estimates about upcoming seizure likelihood.
Participant receive uninformative control forecast
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