Journal article
Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons
L Kuhlmann, D Freestone, A Lai, AN Burkitt, K Fuller, DB Grayden, L Seiderer, S Vogrin, IMY Mareels, MJ Cook
Epilepsy Research | Published : 2010
Abstract
This paper evaluates the patient-specific seizure prediction performance of pre-ictal changes in bivariate-synchrony between pairs of intracranial electroencephalographic (iEEG) signals within 15min of a seizure in patients with pharmacoresistant focal epilepsy. Prediction horizons under 15min reduce the durations of warning times and should provide adequate time for a seizure control device to intervene. Long-term continuous iEEG was obtained from 6 patients. The seizure prediction performance was evaluated for all possible channel pairs and for different prediction methods to find the best performing channel pairs and methods for both pre-ictal decreases and increases in synchrony. The dif..
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Awarded by Australian Research Council
Funding Acknowledgements
This work was supported by an Australian Research Council Linkage Project grant (LP0560684), The Bionic Ear Institute, and St. Vincent's Hospital Melbourne. We are grateful for the EEG data provided by the patients and to the St. Vincent's Hospital Melbourne Neurophysiology Clinic for collecting the data. We are also grateful to the Freiburg Seizure Prediction Group at the Epilepsy Center of the University Medical Center, Freiburg, Germany, for providing data from 3 patients. This data is available as part of the seizure prediction contest for the International Workshops on Epileptic Seizure Prediction (https://epilepsy.uni-freiburg.de/seizure-prediction-workshop-2007/prediction-contest). We thank the anonymous reviewers for their helpful comments. The Bionic Ear Institute acknowledges the support it receives from the Victorian Government through its Operational Infrastructure Support Program.