A COMPUTATIONAL BIOMARKER FOR IDIOPATHIC GENERALISED EPILEPSY DERIVED FROM RESTING STATE EEG
Abstract
Clinical diagnosis of generalised epilepsy commonly relies on the following: (1) case history (2) observation of transient abnormal activity during electroencephalography (EEG), which may not be present during clinical evaluation; and (3) if diagnostic uncertainty occurs, undertaking prolonged monitoring in an attempt to capture abnormalities, which is costly. I will discuss the discovery and validation of a biomarker based on computational analysis of a short segment of resting-state (interictal) EEG. Using leave-one-out classification on a dataset comprising 30 people with IGE and 38 normal controls, we find 100% specificity at 57% sensitivity, and 100% sensitivity at 66% specificity. We believe this biomarker could provide additional support to the diagnostic process.
Wednesday 2 November 2016, 16:30 - 17:30 h
Building Carré - room CR 3.022