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Proceedings Paper

Predicting brain tissue deformation around an implantable electrode due to dynamic micromotion
Author(s): Michael Polanco; Hargsoon Yoon; Keejoo Lee; Sebastian Bawab
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Paper Abstract

Brain cells located adjacent to an implantable electrode are susceptible to both insertion and mechanical damage due to micromotion as the tissue undergoes cyclic periods of pulsation and breathing. The brain cells inevitably interface with electrodes that are typically much lighter and stiffer in comparison. As a result, the brain's high sensitivity to deformation poses a great challenge in designing a neuron probe that is durable throughout time, as mechanical damage in the brain can reduce the usefulness of the electrode. A number of electrode design parameters need to be examined to determine how the brain's high susceptibility to deformation can be minimized, such as material properties and geometry. Objectively, a neuron probe may need to be designed such that it can conform to motion of the brain while electrical functionality is maintained during deformation. To better understand the design enhancements needed for the neuron probe, a series of dynamic simulations are conducted which represent the motion the brain is expected to undergo over time. This motion will, in turn, influence the motion of the neuron probe throughout time. Of interest is how the brain tissue deformation near the interface of the neuron probe will be affected by micromotion of the probe. The nonlinear transient explicit finite element code LS-DYNA is used to carry out the analyses.

Paper Details

Date Published: 30 March 2012
PDF: 8 pages
Proc. SPIE 8344, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012, 83441I (30 March 2012); doi: 10.1117/12.917477
Show Author Affiliations
Michael Polanco, Old Dominion Univ. (United States)
Hargsoon Yoon, Norfolk State Univ. (United States)
Keejoo Lee, Old Dominion Univ. (United States)
Sebastian Bawab, Old Dominion Univ. (United States)


Published in SPIE Proceedings Vol. 8344:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012
Vijay K. Varadan, Editor(s)

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