Document Detail


Open database of epileptic EEG with MRI and postoperational assessment of foci--a real world verification for the EEG inverse solutions.
MedLine Citation:
PMID:  20872095     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
This paper introduces a freely accessible database http://eeg.pl/epi , 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.
Authors:
Piotr Zwoliński; Marcin Roszkowski; Jaroslaw Zygierewicz; Stefan Haufe; Guido Nolte; Piotr J Durka
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Neuroinformatics     Volume:  8     ISSN:  1559-0089     ISO Abbreviation:  Neuroinformatics     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-11-08     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101142069     Medline TA:  Neuroinformatics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  285-99     Citation Subset:  IM    
Affiliation:
Memorial Child Hospital, Warsaw, Poland. pz@meddata.pl
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