- Poster presentation
- Open Access
A novel method for spatial source localization using ECoG and SEEG recordings in human epilepsy patients
© Chintaluri and Wójcik 2015
Published: 4 December 2015
In recent decades, there has been increasing interest in surgical treatments of patients with pharmacologically intractable epileptic seizures. In some cases, noninvasive methods do not sufficiently localize epileptogenic foci and invasive methods of presurgical evaluation are necessary. In some patients, craniotomy is required, where-in electrodes are placed directly over the cortex - these recordings are referred to as electrocorticography (ECoG). Another invasive method is based on intra-cortical depth electrodes which are stereotactically steered into deep cerebral structure - these are referred to as stereoencephalography (SEEG). Based on these recordings of electrical potentials at corresponding electrode positions, the spatial location of the sources of epileptic activity in the brain, that is to be lesioned, needs to be estimated. Improving the precision of locating these sources - referred to as source imaging, derived from ECoG and SEEG recordings remains a critical goal in the field .
Based on our previous studies , we propose a new method - kESI (kernel Electrical Source Imaging), which takes into account realistic brain morphology and spatial variations in brain conductivity. kESI can localize multiple sources, and is flexible to arbitrary electrode positions. Therefore this method can be effectively used for a specific patient's case. The core of kESI is in the construction of kernel functions requiring computation of the potentials generated in the brain by numerous basis functions covering the probed volume.
Research funded from grants FP7-PEOPLE-2010-ITN 264872 NAMASEN, 2948/7.PR/2013/2.
- K Kaiboriboon, HO Lüders, M Hamaneh, J Turnbull, SD Lhatoo: EEG source imaging in epilepsy - practicalities and pitfalls. Nat. Rev. Neurol. 2012, 8: 498-507.View ArticleGoogle Scholar
- J Potworowski, W Jakuczun, S Łęski, D Wójcik: Kernel Current Source Density Method. Neural Comput. 2012, 24: 541-575.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.