Analysis of Models for External Stimulation of Axons
Abstract
Extracellular electrodes produce electrical fields at the outside of nerve fibers. Discretization of the axon's length coordinate allows simulation of the excitation by a system of differential equations in time, and difference equations in space. For myelinated fibers this segmentation is naturally given by the nodes of Ranvier, whereas unmyelinated axons can be segmented arbitrarily. In both cases the equations are similar and can be treated in parallel. The activity of the axon depends on the second space derivative of the extracellular medium. The activating function is discussed for monopolar electrodes but the principle can be extended to arbitrary configurations of electrodes.
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Pulse amplitudes are highly influenced by electrode placement; larger target distances require larger stimulation currents.
“Pulse amplitudes are highly influenced by the electrode placement, as larger target distances require larger stimulation currents [82].”
From Safety of long-term electrical peripheral nerve stimulation: review of the state of the art (2019) · cites this paper as [82]
A one-stage leaky integrator provides a reasonable approximation to cellular depolarization due to extracellular stimulation.
“It is well established that this one-stage leaky integrator provides a reasonable approximation to cellular depolarization due to extracellular stimulation60–62.”
From A virtual patient simulation modeling the neural and perceptual effects of human visual cortical stimulation, from pulse trains to percepts (2024) · cites this paper as [60]
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Lo, Y., Chen, K., Gad, P. N., & Liu, W. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2297695 · Cited by 80 · see citing works
Mørch, C. D., Hennings, K., & Andersen, O. K. (2011) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-010-0725-8 · Cited by 79 · see citing works
Current approaches to model extracellular electrical neural microstimulation
Joucla, S., Glière, A., & Yvert, B. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00013 · Cited by 78 · see citing works
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- Authors
- Rattay, F.
- Affiliations
- TU Wien (AT)
- Corresponding author
- Rattay, Frank
- ORCID
- Rattay, Frank
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1986-10
- Volume
- BME-33
- Issue
- 10
- Pages
- 974-977
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2058474475
- Cited by
- 681
- References
- 11
- Citations by year
- 2026: 23 · 2025: 32 · 2024: 35 · 2023: 36 · 2022: 33 · 2021: 31 · 2020: 30 · 2019: 33 · 2018: 32 · 2017: 27 · 2016: 30 · 2015: 27 · 2014: 28 · 2013: 31 · 2012: 29
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- 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 stimulation, axons, electrical nerve stimulation, myelinated axons, nodes of Ranvier, unmyelinated axons, monopolar electrodes, activating function, extracellular medium, spatial discretization, recurrence relations, excitation model
- MeSH terms
- Animals, Axons, Biomedical Engineering, Electric Stimulation, Models, Biological, Myelin Sheath, In Vitro Techniques
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