Cited by 78Neuroscience and Neural EngineeringNeural dynamics and brain functionUndergraduate Neuroscience Education and Research

Current approaches to model extracellular electrical neural microstimulation

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Joucla, Sébastien, Glière, Alain, Yvert, Blaise·2014·Frontiers in Computational Neuroscience

Abstract

Nowadays, high-density microelectrode arrays provide unprecedented possibilities to precisely activate spatially well-controlled central nervous system (CNS) areas. However, this requires optimizing stimulating devices, which in turn requires a good understanding of the effects of microstimulation on cells and tissues. In this context, modeling approaches provide flexible ways to predict the outcome of electrical stimulation in terms of CNS activation. In this paper, we present state-of-the-art modeling methods with sufficient details to allow the reader to rapidly build numerical models of neuronal extracellular microstimulation. These include (1) the computation of the electrical potential field created by the stimulation in the tissue, and (2) the response of a target neuron to this field. Two main approaches are described: First we describe the classical hybrid approach that combines the finite element modeling of the potential field with the calculation of the neuron's response in a cable equation framework (compartmentalized neuron models). Then, we present a "whole finite element" approach allowing the simultaneous calculation of the extracellular and intracellular potentials, by representing the neuronal membrane with a thin-film approximation. This approach was previously introduced in the frame of neural recording, but has never been implemented to determine the effect of extracellular stimulation on the neural response at a sub-compartment level. Here, we show on an example that the latter modeling scheme can reveal important sub-compartment behavior of the neural membrane that cannot be resolved using the hybrid approach. The goal of this paper is also to describe in detail the practical implementation of these methods to allow the reader to easily build new models using standard software packages. These modeling paradigms, depending on the situation, should help build more efficient high-density neural prostheses for CNS rehabilitation.

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  1. McIntyre C. C. Grill W. M. (2002). Extracellular stimulation of central neurons: influence of stimulus waveform and frequency on neuronal output. J. Neurophysiol. 88, 1592– 1604 10.1152/jn.00147.2002 12364490 · DOI

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Authors
Joucla, S., Glière, A., & Yvert, B.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
Corresponding author
  • Joucla, Sébastien
  • Yvert, Blaise
Venue
Frontiers in Computational Neuroscience
Published
2014
Volume
8
Pages
13-13
ISSN
1662-5188 (ISSN-L)
OpenAlex
W2034891349
Cited by
78
References
53
Citations by year
2026: 5 · 2025: 4 · 2024: 5 · 2023: 7 · 2022: 14 · 2021: 5 · 2020: 9 · 2019: 8 · 2018: 7 · 2017: 4 · 2016: 6 · 2015: 1 · 2014: 2 · 2013: 1
FWCI
1.98
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Computational Neuroscience (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • European Commission (280433)
  • Agence Nationale de la Recherche (ANR-10-BLAN-0316, ANR-10)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Undergraduate Neuroscience Education and Research
Keywords
extracellular electrical stimulation, high-density microelectrode arrays, cable equation, neural prostheses

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