Next Article in Journal
Single Molecule Bioelectronics and Their Application to Amplification-Free Measurement of DNA Lengths
Next Article in Special Issue
Biofouling-Resistant Impedimetric Sensor for Array High-Resolution Extracellular Potassium Monitoring in the Brain
Previous Article in Journal
Integrating Nanostructured Artificial Receptors with Whispering Gallery Mode Optical Microresonators via Inorganic Molecular Imprinting Techniques
Previous Article in Special Issue
In Vivo Electrochemical Analysis of a PEDOT/MWCNT Neural Electrode Coating
Article Menu

Export Article

Open AccessArticle
Biosensors 2016, 6(2), 27;

Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion

Department of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA
Department of Engineering, Center for Materials Research, Norfolk State University, Norfolk, VA 23504, USA
Author to whom correspondence should be addressed.
Academic Editor: Jeff D. Newman
Received: 6 February 2016 / Revised: 2 June 2016 / Accepted: 6 June 2016 / Published: 16 June 2016
(This article belongs to the Special Issue Neural Sensing and Interfacing Technology)
Full-Text   |   PDF [2994 KB, uploaded 16 June 2016]   |  


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. View Full-Text
Keywords: neural electrodes; brain; finite element analysis; viscoelasticity neural electrodes; brain; finite element analysis; viscoelasticity

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Polanco, M.; Bawab, S.; Yoon, H. Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion. Biosensors 2016, 6, 27.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Biosensors EISSN 2079-6374 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top