Including the slice geometry in Current Source Density analysis

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Current Source Density (CSD) Analysis

Current Source Density analysis (CSD) is a class of methods of analysis of extracellular electric potentials recorded at multiple sites leading to estimates of current sources generating the measured potentials. It is usually applied to low-frequency part of the potential (called the Local Field Potential, LFP) and to simultaneous recordings or to recordings taken with fixed time reference to t...

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Generalized theory for current-source-density analysis in brain tissue.

The current-source density (CSD) analysis is a widely used method in brain electrophysiology, but this method rests on a series of assumptions, namely that the surrounding extracellular medium is resistive and uniform, and in some versions of the theory, that the current sources are exclusively made by dipoles. Because of these assumptions, this standard model does not correctly describe the co...

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Mechanisms of long-term potentiation: a current-source density analysis.

A current-source density (CSD) analysis was carried out in the CA 1 region of the hippocampal slice (1) to determine the pattern of current flow in pyramidal cells upon orthodromic stimulation and (2) to test the hypothesis that EPSP-to-spike potentiation is produced by an alteration in this distribution of current sinks and/or sources. The results indicated that 2 sinks occur near the cell bod...

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Apparent extracellular current density and extracellular space: basis for the current source density analysis in neural tissue

This article provides a theoretical basis for relating macroscopic electrical signals recorded from biological tissue, such as electroencephalogram (EEG) and local field potential (LFP), to the electrophysiological processes at the cellular level in a manner consistent with Maxwell’s equations. Concepts of the apparent extracellular current density and the apparent extracellular space with appa...

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ژورنال

عنوان ژورنال: Frontiers in Neuroinformatics

سال: 2013

ISSN: 1662-5196

DOI: 10.3389/conf.fninf.2013.09.00019