Journal article

Seizure Forecasting Using a Novel Sub-Scalp Ultra-Long Term EEG Monitoring System

Rachel E Stirling, Matias Maturana, Philippa J Karoly, Ewan S Nurse, Kate McCutcheon, David B Grayden, Steven G Ringo, John M Heasman, Rohan J Hoare, Alan Lai, Wendyl D'Souza, Udaya Seneviratne, Linda Seiderer, Karen J McLean, Kristian J Bulluss, Michael Murphy, Benjamin H Brinkmann, Mark P Richardson, Dean R Freestone, Mark J Cook



Accurate identification of seizure activity, both clinical and subclinical, has important implications in the management of epilepsy. Accurate recognition of seizure activity is essential for diagnostic, management and forecasting purposes, but patient-reported seizures have been shown to be unreliable. Earlier work has revealed accurate capture of electrographic seizures and forecasting is possible with an implantable intracranial device, but less invasive electroencephalography (EEG) recording systems would be optimal. Here, we present preliminary results of seizure detection and forecasting with a minimally invasive sub-scalp device that continuously records EEG. Five participants with re..

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Awarded by Medical Research Centre for Neurodevelopmental Disorders

Funding Acknowledgements

MR had a research collaboration with UNEEG medical and has been a member of their advisory board. MR was supported by the National Institute for Health Research Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, and by the Medical Research Centre for Neurodevelopmental Disorders (MR/N026063/1). BB had a financial interest in Cadence Neurosciences Inc., and has received non-financial research support (devices for a study) from Medtronic Inc. AL acknowledges support from the Victorian Medical Research Acceleration Fund. This project was supported by the My Seizure Gauge grant from the Epilepsy Foundation of America.