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Encyclopedia of Computational Neuroscience pp 915–922Cite as

Current Source Density (CSD) Analysis

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Synonyms

CSD; CSD method; Reconstruction of current sources

Definition

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 the onset of specific stimulus (evoked potentials, EP).

Detailed Description

Among the different mechanisms contributing to extracellular electric potential in the tissue (Buzsáki et al. 2012; Einevoll et al. 2012), transmembrane currents in neurons are believed to dominate. These are ionic currents passing through all the different membrane channels (passive, voltage dependent, calcium dependent, synaptic, etc.) as well as the capacitive currents which, while charging the membrane, also contribute to the motion of ions in the...

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Authors and Affiliations

  1. Department of Neurophysiology, Nencki Institute of Experimental Biology, 3 Pasteur St, 02-093, Warsaw, Poland

    Daniel K. Wójcik

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  1. Daniel K. Wójcik
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Correspondence to Daniel K. Wójcik .

Editor information

Editors and Affiliations

  1. Department of Biology, Emory University, Atlanta, GA, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, FL, USA

    Ranu Jung

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Wójcik, D.K. (2015). Current Source Density (CSD) Analysis. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_544

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