title: Evaluation of EEG localization methods using realistic simulations of interictal spikes.
abstract: Performing an accurate localization of sources of interictal spikes from EEG scalp measurements is of particular interest during the presurgical investigation of epilepsy. The purpose of this paper is to study the ability of six distributed source localization methods to recover extended sources of activated cortex. Due to the frequent lack of a gold standard to evaluate source localization methods, our evaluation was performed in a controlled environment using realistic simulations of EEG interictal spikes, involving several anatomical locations with several spatial extents. Simulated data were corrupted by physiological EEG noise. Simulations involving pairs of sources with the same amplitude were also studied. In addition to standard validation criteria (e.g., geodesic distance or mean square error), we proposed an original criterion dedicated to assess detection accuracy, based on receiver operating characteristic (ROC) analysis. Six source localization methods were evaluated: the minimum norm, the minimum norm weighted by multivariate source prelocalization (MSP), cortical LORETA with or without additional minimum norm regularization, and two derivations of the maximum entropy on the mean (MEM) approach. Results showed that LORETA-based and MEM-based methods were able to accurately recover sources of different spatial extents, with the exception of sources in temporo-mesial and fronto-mesial regions. Several spurious sources were generated by those methods, however, whereas methods using the MSP always located very accurately the maximum of activity but not its spatial extent. These findings suggest that one should always take into account the results from different localization methods when analyzing real interictal spikes.
authors.affiliation: Montreal Neurological Institute, McGill University, EEG Department, Room 009d, 3801 University Street, Montreal, Quebec, Canada H3A 2B4. christophe.grova@mail.mcgill.ca
authors.forename: C
authors.initials: C
authors.lastname: Grova
authors.forename: J
authors.initials: J
authors.lastname: Daunizeau
authors.forename: J-M
authors.initials: JM
authors.lastname: Lina
authors.forename: C G
authors.initials: CG
authors.lastname: Bénar
authors.forename: H
authors.initials: H
authors.lastname: Benali
authors.forename: J
authors.initials: J
authors.lastname: Gotman
mesh_terms: D000465:Algorithms; D019540:Area Under Curve; D002540:Cerebral Cortex / Q000503:physiopathology*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004569:Electroencephalography; D019277:Entropy; D004827:Epilepsy / Q000503:physiopathology*; D006257:Head / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging; D008953:Models, Anatomic; D012372:ROC Curve; D015203:Reproducibility of Results