PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Open database of epileptic EEG with MRI and postoperational assessment of foci — a real world verification for the EEG inverse solutions
Piotr Zwolinski, Marcin Roszkowski, Jaroslav Zygierewicz, Stefan Haufe, Guido Nolte and Piotr J Durka
Neuroinformatics Volume 8, Number 4, pp. 285-299, 2010. ISSN 1539-2791


This paper introduces a freely accessible database, containing 23 datasets from patients diagnosed with and operated on for drug-resistant epilepsy. This was collected as part of the clinical routine at the Warsaw Memorial Child Hospital. Each record contains (1) pre-surgical electroencephalography (EEG) recording (10–20 system) with inter-ictal discharges marked separately by an expert, (2) a full set of magnetic resonance imaging (MRI) scans for calculations of the realistic forward models, (3) structural placement of the epileptogenic zone, recognized by electrocorticography (ECoG) and post-surgical results, plotted on pre-surgical MRI scans in transverse, sagittal and coronal projections, (4) brief clinical description of each case. The main goal of this project is evaluation of possible improvements of localization of epileptic foci from the surface EEG recordings. These datasets offer a unique possibility for evaluating different EEG inverse solutions. We present preliminary results from a subset of these cases, including comparison of different schemes for the EEG inverse solution and preprocessing. We report also a finding which relates to the selective parametrization of single waveforms by multivariate matching pursuit, which is used in the preprocessing for the inverse solutions. It seems to offer a possibility of tracing the spatial evolution of seizures in time.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:7832
Deposited By:Stefan Haufe
Deposited On:17 March 2011