Cortical electrodes offer an intimate interface to the complex activity of the brain. They are an enabling technology for advanced brain therapies that will significantly enhance the human condition, as well as, fundamental tools for investigating the operation of the brain. One of the limiting factors of current technology is a mechanical mismatch between the electrode and the cortical tissue. While a stiff electrode is advantageous during implantation and positioning, a chronically stiff electrode causes micro-motion, micro-damage, and chronic astrocytic response in the brain tissue. An ideal electrode would have a high modulus during insertion and a low modulus thereafter. Inspired by the soft connective tissues of echinoderms, we have embarked on the exploration of a highly innovative and novel general class of polymer nanocomposites, which are targeted to dynamically change their mechanical properties in response to a stimulus, such as temperature or pH change, electrical or optical field, or concentration of specific ions. We propose to exploit chemical stimuli (ion concentrations or pH) for the mechanical switching of polymers that form the basis of adaptive cortical electrodes. Initial feasibility of the mechanically dynamic properties of the composites have already been demonstrated. In this proposal we will further study their properties and develop them for use in biomedical applications.
The first aim i s to optimize the composition for optimal performance in the cortex environment. The optimal material will be stiff in an ambient environment and dynamically change in response to the chemical environment of the cortex to match the cortical tissue mechanics when implanted. We will characterize the mechanical properties and dynamics, as well as, the basic techniques processing the material into devices designed for biological applications.
The second aim i s to understand the chronic astrocytic and tissue response to the polymer. The overall goal of this project is create and understand a stimulus-responsive, mechanically dynamic nanocomposite available for biomedical and neuroprosthetic applications. The first application studied in this proposal will be as a substrate for cortical electrodes. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21NS053798-01A1
Application #
7148844
Study Section
Special Emphasis Panel (ZRG1-MDCN-K (50))
Program Officer
Kleitman, Naomi
Project Start
2006-08-01
Project End
2008-06-30
Budget Start
2006-08-01
Budget End
2007-06-30
Support Year
1
Fiscal Year
2006
Total Cost
$208,575
Indirect Cost
Name
Case Western Reserve University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
Nguyen, Jessica K; Park, Daniel J; Skousen, John L et al. (2014) Mechanically-compliant intracortical implants reduce the neuroinflammatory response. J Neural Eng 11:056014
Harris, J P; Capadona, J R; Miller, R H et al. (2011) Mechanically adaptive intracortical implants improve the proximity of neuronal cell bodies. J Neural Eng 8:066011
Harris, J P; Hess, A E; Rowan, S J et al. (2011) In vivo deployment of mechanically adaptive nanocomposites for intracortical microelectrodes. J Neural Eng 8:046010
Shanmuganathan, Kadhiravan; Capadona, Jeffrey R; Rowan, Stuart J et al. (2010) Stimuli-responsive mechanically adaptive polymer nanocomposites. ACS Appl Mater Interfaces 2:165-74
Capadona, Jeffrey R; Van Den Berg, Otto; Capadona, Lynn A et al. (2007) A versatile approach for the processing of polymer nanocomposites with self-assembled nanofibre templates. Nat Nanotechnol 2:765-9