Computational assessment of neural probe and brain tissue interface under transient motion.
Open accessAbstract
The functional longevity of a neural probe is dependent upon its ability to minimize injury risk during the insertion and recording period in vivo, which could be related to motion-related strain between the probe and surrounding tissue. A series of finite element analyses was conducted to study the extent of the strain induced within the brain in an area around a neural probe. This study focuses on the transient behavior of neural probe and brain tissue interface with a viscoelastic model. Different stages of the interface from initial insertion of neural probe to full bonding of the probe by astro-glial sheath formation are simulated utilizing analytical tools to investigate the effects of relative motion between the neural probe and the brain while friction coefficients and kinematic frequencies are varied. The analyses can provide an in-depth look at the quantitative benefits behind using soft materials for neural probes.
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Mechanical micromovements between the pulsating neural tissue and static implants can induce different kinds of damage.
“In addition, we should also consider the mechanical micromovements between the pulsating neural tissue (due mainly to cardiac pulse and breathing) and the static implants, which can induce different kinds of damage (Polanco et al., 2016).”
From Toward Long-Term Communication With the Brain in the Blind by Intracortical Stimulation: Challenges and Future Prospects (2020) · cites this paper as Polanco et al., 2016
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- Authors
- Polanco, M., Bawab, S., & Yoon, H.
- Affiliations
- Old Dominion University (US)
- Norfolk State University (US)
- Corresponding author
- Yoon, Hargsoon
- ORCID
- Polanco, Michael
- Venue
- Biosensors
- Publisher
- MDPI AG
- Published
- 2016-06-16
- Volume
- 6
- Issue
- 2
- Pages
- 27
- ISSN
- 2079-6374 (ISSN-L)
- PMC
- PMC4931487
- OpenAlex
- W2435245897
- Cited by
- 36
- References
- 58
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 8 · 2020: 5 · 2019: 2 · 2018: 2 · 2017: 1
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Biosensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ODU Digital Commons (Old Dominion University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (HRD 1345215)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Elasticity and Material Modeling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Keywords
- neural probes, transient motion, probe insertion, friction coefficient, tissue strain, finite element analysis
- MeSH terms
- Biomechanical Phenomena, Brain, Electrodes, Implanted, Microelectrodes, Models, Theoretical, Motion, Stress, Mechanical, Finite Element Analysis, Elastic Modulus
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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