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Localization of single‐cell current sources based on extracellular potential patterns: the spike CSD method
Author(s) -
Somogyvári Zoltán,
Cserpán Dorottya,
Ulbert István,
Érdi Péter
Publication year - 2012
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/j.1460-9568.2012.08249.x
Subject(s) - biological system , neurophysiology , computer science , current (fluid) , current source , spike (software development) , poisson distribution , neuroscience , mathematics , physics , statistics , software engineering , biology , thermodynamics
Traditional current source density (tCSD) calculation method calculates neural current source distribution of extracellular (EC) potential patterns, thus providing important neurophysiological information. While the tCSD method is based on physical principles, it adopts some assumptions, which can not hold for single‐cell activity. Consequently, tCSD method gives false results for single‐cell activity. A new, spike CSD (sCSD) method has been developed, specifically designed to reveal CSD distribution of single cells during action potential generation. This method is based on the inverse solution of the Poisson‐equation. The efficiency of the method is tested and demonstrated with simulations, and showed, that the sCSD method reconstructed the original CSD more precisely than the tCSD. The sCSD method is applied to EC spatial potential patterns of spikes, measured in cat primary auditory cortex with a 16‐channel chronically implanted linear probe in vivo . Using our method, the cell–electrode distances were estimated and the spatio‐temporal CSD distributions were reconstructed. The results suggested, that the new method is potentially useful in determining fine details of the spatio‐temporal dynamics of spikes.