Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Finite Element Modeling of Electrical Stimulation Using Microelectrodes

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_596-1

Definition

Extracellular electrical neural stimulation consists in injecting a current through an electrode located in a neural tissue. A potential field is created in the tissue, which influences the membrane potential of neural elements. The membrane response depends on the shape of the potential field around the neuron, which depends itself on the electrode configuration. Finite element models (FEM) are numerical models that can be used to compute the potential field and predict the effect of a given electrode configuration. These models are based on a description of the geometry and the electrical properties of the conductive media and specific constraints on their boundaries.

Detailed Description

Electrical stimulation of neural tissues has been extensively used for decades. More recently, an increasing interest has grown to build neural prosthesis based on arrays of microelectrodes to restore functional activity in the damaged central nervous system. The fine use of electrical...

Keywords

Hines 
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References

  1. Hamalainen MM, Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV (1993) Magnetoencephalography – theory, instrumentation and applications to non- invasive studies of the working human brain. Rev Mod Phys 65:425–427CrossRefGoogle Scholar
  2. Heuschkel MO, Fejtl M, Raggenbass M, Bertrand D, Renaud P (2002) A three-dimensional multi-electrode array for multi-site stimulation and recording in acute brain slices. J Neurosci Methods 114:135–148PubMedCrossRefGoogle Scholar
  3. Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Comput 9:1179–1209PubMedCrossRefGoogle Scholar
  4. Joucla S, Yvert B (2009) Improved focalization of electrical microstimulation using microelectrode arrays: a modeling study. PLoS One 4:e4828. doi:4810.1371/journal.pone.000482PubMedCentralPubMedCrossRefGoogle Scholar
  5. Joucla S, Yvert B (2012) Modeling extracellular electrical neural stimulation: from basic understanding to MEA-based applications. J Physiol Paris 106:146–158PubMedCrossRefGoogle Scholar
  6. Joucla S, Glière A and Yvert B (2014) Current approaches to model extracellular electrical neural microstimulation. Front Comput Neurosci 8:13. doi:10.3389/fncom.2014.00013PubMedCentralPubMedGoogle Scholar
  7. McIntyre CC, Grill WM (2001) Finite element analysis of the current-density and electric field generated by metal microelectrodes. Ann Biomed Eng 29:227–235PubMedCrossRefGoogle Scholar
  8. McIntyre CC, Grill WM (2002) Extracellular stimulation of central neurons: influence of stimulus waveform and frequency on neuronal output. J Neurophysiol 88:1592–1604PubMedGoogle Scholar
  9. Plonsey R (1969) Bioelectric phenomena. In: McGraw-Hill series in bioengineering. McGraw-Hill Book Compagny, New-YorkGoogle Scholar
  10. Ranck JB Jr (1963) Specific impedance of rabbit cerebral cortex. Exp Neurol 7:144–152PubMedCrossRefGoogle Scholar
  11. Ranck JB Jr, Bement SL (1965) The specific impedance of the dorsal columns of cat: an inisotropic medium. Exp Neurol 11:451–463PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.CNRS, Institute for Cognitive and Integrative Neuroscience (INCIA), UMR 5287TalenceFrance
  2. 2.Univ. Bordeaux, Institute for Cognitive and Integrative Neuroscience (INCIA), UMR 5287TalenceFrance
  3. 3.Inserm, Clinatec, UA01GrenobleFrance
  4. 4.CEA, LETI, Clinatec, UA01GrenobleFrance