Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasi-Static Equations

  • Microelectrode arrays serve as an indispensable tool in electro-physiological research to study the electrical activity of neural cells, enabling measurements of single cell as well as network communication analysis. Recent experimental studies have reported that the neuronal geometry has an influence on electrical signaling and extracellular recordings. However, the corresponding mechanisms are not yet fully understood and require further investigation. Allowing systematic parameter studies, computational modeling provides the opportunity to examine the underlying effects that influence extracellular potentials. In this letter, we present an in silico single cell model to analyze the effect of geometrical variability on the extracellular electric potentials. We describe finite element models of a single neuron with varying geometric complexity in three-dimensional space. The electric potential generation of the neuron is modeled using Hodgkin-Huxley equations. The signal propagation is described with electro-quasi-static equations, and results are compared with corresponding cable equation descriptions. Our results show that both the geometric dimensions and the distribution of ion channels of a neuron are critical factors that significantly influence both the amplitude and shape of extracellular potentials.

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Metadaten
Author:Robert Bestel, Revathi Appali, Ursula van Rienen, Christiane Thielemann
DOI:https://doi.org/10.1162/neco_a_01019
Parent Title (English):Neural Computation
Document Type:Article
Language:English
Year of Completion:2017
Release Date:2020/04/28
GND Keyword:Mikroelektrode; Array
Volume:2017
Issue:29
First Page:2955
Last Page:2978
Urheberrecht:0
research focus :Intelligent Systems / Artifical Intelligence and Data Science
Intelligent Systems / Clean Tech
Intelligent Systems / Intelligent Sensors and Signals
Materials / Material Testing & Sensor Technology
Licence (German):Keine Lizenz - es gilt das deutsche Urheberrecht
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