Navigation auf zora.uzh.ch

Search

ZORA (Zurich Open Repository and Archive)

A novel approach for multiscale source analysis and modeling of epileptic spikes

Dumpelmann, Matthias; Cosandier-Rimele, Delphine; Ramantani, Georgia; Schulze-Bonhage, Andreas (2015). A novel approach for multiscale source analysis and modeling of epileptic spikes. IEEE Engineering in Medicine and Biology Society. Conference Proceedings, 2015:6634-6637.

Abstract

Multiscale recordings of brain electrical activity are often performed for presurgical evaluation in patients with focal epilepsy to facilitate the identification and precise delineation of the epileptogenic zone. However, data regarding the concordance of source models derived from recordings on different scales and their reciprocal validation against clinical outcomes remains scarce. This study aims to define a common source model that accurately depicts both scalp EEG and subdural EEG (ECoG) interictal spikes. To this purpose, the sLORETA method was applied to averaged spikes and source reconstruction results were implemented to outline the location and extent of an epileptic cortical patch. This estimated patch served as the basis for the spatiotemporal source model in a generative model of EEG. Spike activity was simulated on both scalp EEG and ECoG signal scales, with simulated traces resembling measured traces regarding their spatial distribution and amplitude compared to background. Simulated spikes served for the evaluation of source reconstruction with a known generator topography. The described setup allows for the validation and, ultimately, for the refinement of source reconstruction methods. It provides novel insights towards a thorough understanding of physiological and pathological brain processes and their representation in neuroelectric measurements.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Children's Hospital Zurich > Medical Clinic
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Physical Sciences > Signal Processing
Physical Sciences > Biomedical Engineering
Physical Sciences > Computer Vision and Pattern Recognition
Health Sciences > Health Informatics
Language:English
Date:1 January 2015
Deposited On:22 Mar 2019 13:05
Last Modified:20 Sep 2024 01:36
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1557-170X
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/EMBC.2015.7319914
PubMed ID:26737814
Full text not available from this repository.

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
1 citation in Web of Science®
2 citations in Scopus®
Google Scholar™

Altmetrics

Authors, Affiliations, Collaborations

Similar Publications