Including the slice geometry in Current Source Density analysis

Abstract

Event Abstract Back to Event Including the slice geometry in Current Source Density analysis Jan Potworowski1, Torbjørn B. Ness2, Szymon Łęski1*, Gaute T. Einevoll2 and Daniel K. Wójcik1 1 Nencki Institute of Experimental Biology, Poland 2 Norwegian University of Life Sciences, Norway Multielectrode recordings of local field potentials (LFP) from brain slices have become a standard research technique. Because of the long range of the electric fields it is often advantageous to reconstruct the neuronal transmembrane currents from the measured potentials, a procedure known as Current Source Density (CSD) analysis. CSD analysis methods utilize the relation between the transmembrane currents and the potentials (Poisson equation) and have been used succesfully in many contexts. However, CSD methods typically assume that the tissue is isotropic and homogeneous, which is clearly not true in slice recordings. We have developed a variant of the kernel CSD method which takes into account the finite thickness of the slice and different conductivities of the tissue and the fluid covering the slice. To achieve that, we have employed the method of images and replaced the standard "1/r" solution to the Poisson equation with a series. We have tested the new kCSD variant on model data, in which the spread of electric field was thoroughly modelled using the Finite Element Method. We have found that 1) the reconstructed error is smaller when the correct slice thickness and the inhomogeneity in conductivities are taken into account, but the improvement is relatively minor, 2) it is enough to include just the first two additional terms resulting from the method of images. Acknowledgements Supported by the Polish Ministry of Science and Higher Education grant IP2011 030971. Keywords: local field potential (LFP), current source density analysis, multi-electrode-array, inhomogeneous neural media, brain slice Conference: Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, 2013. Presentation Type: Poster Topic: Electrophysiology Citation: Potworowski J, Ness TB, Łęski S, Einevoll GT and Wójcik DK (2013). Including the slice geometry in Current Source Density analysis. Front. Neuroinform. Conference Abstract: Neuroinformatics 2013. doi: 10.3389/conf.fninf.2013.09.00019 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 08 Apr 2013; Published Online: 11 Jul 2013. * Correspondence: Dr. Szymon Łęski, Nencki Institute of Experimental Biology, Warszawa, Poland, s.leski@nencki.gov.pl Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Jan Potworowski Torbjørn B Ness Szymon Łęski Gaute T Einevoll Daniel K Wójcik Google Jan Potworowski Torbjørn B Ness Szymon Łęski Gaute T Einevoll Daniel K Wójcik Google Scholar Jan Potworowski Torbjørn B Ness Szymon Łęski Gaute T Einevoll Daniel K Wójcik PubMed Jan Potworowski Torbjørn B Ness Szymon Łęski Gaute T Einevoll Daniel K Wójcik Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.