title: A computational biomarker of idiopathic generalized epilepsy from resting state EEG.
abstract: Epilepsy is one of the most common serious neurologic conditions. It is characterized by the tendency to have recurrent seizures, which arise against a backdrop of apparently normal brain activity. At present, clinical diagnosis relies on the following: (1) case history, which can be unreliable; (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 observe EEG abnormalities, which is costly. Herein, we describe the discovery and validation of an epilepsy biomarker based on computational analysis of a short segment of resting-state (interictal) EEG. Our method utilizes a computer model of dynamic networks, where the network is inferred from the extent of synchrony between EEG channels (functional networks) and the normalized power spectrum of the clinical data. We optimize model parameters using a leave-one-out classification on a dataset comprising 30 people with idiopathic generalized epilepsy (IGE) and 38 normal controls. Applying this scheme to all 68 subjects we find 100% specificity at 56.7% sensitivity, and 100% sensitivity at 65.8% specificity. We believe this biomarker could readily provide additional support to the diagnostic process.
authors: College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter, United Kingdom.|Wellcome Trust ISSF Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United Kingdom.|EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United Kingdom.
authors: Helmut
authors: H
authors: Schmidt
authors: College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter, United Kingdom.|Wellcome Trust ISSF Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United Kingdom.|EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United Kingdom.
authors: Wessel
authors: W
authors: Woldman
authors: College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter, United Kingdom.|Wellcome Trust ISSF Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United Kingdom.|EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United Kingdom.
authors: Marc
authors: http://orcid.org/0000-0002-7282-7280
authors: M
authors: Goodfellow
authors: Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
authors: Fahmida A
authors: FA
authors: Chowdhury
authors: Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.|Department of EEG and Epilepsy, St. Thomas's Hospital, Guy's and St. Thomas's NHS Foundation Trust, London, United Kingdom.
authors: Michalis
authors: M
authors: Koutroumanidis
authors: Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
authors: Sharon
authors: S
authors: Jewell
authors: EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United Kingdom.|Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
authors: Mark P
authors: MP
authors: Richardson
authors: College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter, United Kingdom. j.terry@exeter.ac.uk.|Wellcome Trust ISSF Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United Kingdom. j.terry@exeter.ac.uk.|EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United Kingdom. j.terry@exeter.ac.uk.
authors: John R
authors: JR
authors: Terry
mesh_terms: D000293:Adolescent; D000328:Adult; D001931:Brain Mapping; D058256:Brain Waves / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D001330:Electronic Data Processing; D004829:Epilepsy, Generalized / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012146:Rest; D013057:Spectrum Analysis; D055815:Young Adult
keywords: Biomarker; Computational model; Diagnosis; IGE; Resting-state EEG