Literature DB >> 18270005

A new 3-D finite-element model based on thin-film approximation for microelectrode array recording of extracellular action potential.

Céline Moulin1, Alain Glière, Daniel Barbier, Sebastien Joucla, Blaise Yvert, Pascal Mailley, Régis Guillemaud.   

Abstract

A transient finite-element model has been developed to simulate an extracellular action potential recording in a tissue slice by a planar microelectrode array. The thin-film approximation of the active neuron membrane allows the simulation within single finite-element software of the intracellular and extracellular potential fields. In comparison with a compartmental neuron model, it is shown that the thin-film approximation-based model is able to properly represent the neuron bioelectrical behavior in terms of transmembrane current and potential. Moreover, the model is able to simulate extracellular action potential recordings with properties similar to those observed in biological experiments. It is demonstrated that an ideal measurement system model can be used to represent the recording microelectrode, provided that the electronic recording system adapts to the electrode-tissue interface impedance. By comparing it with a point source approximated neuron, it is also shown that the neuron three-dimensional volume should be taken into account to simulate the extracellular action potential recording. Finally, the influence of the electrode size on the signal amplitude is evaluated. This parameter, together with the microelectrode noise, should be taken into account in order to optimize future microelectrode designs in terms of the signal-to-noise ratio.

Mesh:

Year:  2008        PMID: 18270005     DOI: 10.1109/TBME.2007.903522

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 in total

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4.  Current approaches to model extracellular electrical neural microstimulation.

Authors:  Sébastien Joucla; Alain Glière; Blaise Yvert
Journal:  Front Comput Neurosci       Date:  2014-02-19       Impact factor: 2.380

5.  Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs).

Authors:  Torbjørn V Ness; Chaitanya Chintaluri; Jan Potworowski; Szymon Łęski; Helena Głąbska; Daniel K Wójcik; Gaute T Einevoll
Journal:  Neuroinformatics       Date:  2015-10

6.  Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings.

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7.  Lead field theory provides a powerful tool for designing microelectrode array impedance measurements for biological cell detection and observation.

Authors:  Marcel Böttrich; Jarno M A Tanskanen; Jari A K Hyttinen
Journal:  Biomed Eng Online       Date:  2017-06-26       Impact factor: 2.819

8.  A biopotential optrode array: operation principles and simulations.

Authors:  Amr Al Abed; Hrishikesh Srinivas; Josiah Firth; François Ladouceur; Nigel H Lovell; Leonardo Silvestri
Journal:  Sci Rep       Date:  2018-02-09       Impact factor: 4.379

9.  Computational analysis of network activity and spatial reach of sharp wave-ripples.

Authors:  Sadullah Canakci; Muhammed Faruk Toy; Ahmet Fatih Inci; Xin Liu; Duygu Kuzum
Journal:  PLoS One       Date:  2017-09-15       Impact factor: 3.240

10.  Improved focalization of electrical microstimulation using microelectrode arrays: a modeling study.

Authors:  Sébastien Joucla; Blaise Yvert
Journal:  PLoS One       Date:  2009-03-12       Impact factor: 3.240

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