Hostname: page-component-74656f9884-2dmjx Total loading time: 0 Render date: 2026-11-10T06:07:38.066Z Has data issue: false hasContentIssue false

Mechanically adaptive nanocomposites for neural interfacing

Published online by Cambridge University Press:  08 June 2012

Jeffrey R. Capadona
Affiliation:
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA; jrc35@case.edu
Dustin J. Tyler
Affiliation:
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA; dustin.tyler@case.edu
Christian A. Zorman
Affiliation:
Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA; Christian.Zorman@case.edu
Stuart J. Rowan
Affiliation:
Department of Macromolecular Science and Engineering, Case Western Reserve University, Cleveland, OH 44106, USA; stuart.rowan@case.edu
Christoph Weder
Affiliation:
Adolphe Merkle Institute, University of Fribourg, Switzerland; christoph.weder@unifr.ch

Abstract

The recording of neural signals with microelectrodes that are implanted into the cortex of the brain is potentially useful for a range of clinical applications. However, the widespread use of such neural interfaces has so far been stifled because existing intracortical electrode systems rarely allow for consistent long-term recording of neural activity. This limitation is usually attributed to scar formation and neuron death near the surface of the implanted electrode. It has been proposed that the mechanical property mismatch between existing electrode materials and the brain tissue is a significant contributor to these events. To alleviate this problem, we utilized the architecture of the sea cucumber dermis as a blueprint to engineer a new class of mechanically adaptive materials as substrates for “smart” intracortical electrodes. We demonstrated that these originally rigid polymer nanocomposites soften considerably upon exposure to emulated physiological and in vivo conditions. The adaptive nature of these bioinspired materials makes them useful as a basis for electrodes that are sufficiently stiff to be easily implanted and subsequently soften to better match the stiffness of the brain. Initial histological evaluations suggest that mechanically adaptive neural prosthetics can more rapidly stabilize neural cell populations at the device interface than rigid systems, which bodes well for improving the functionality of intracortical devices.

Information

Type
Research Article
Copyright
Copyright © Materials Research Society 2012
Figure 0

Figure 1. Picture of the natural model, a sea cucumber, in (a) the relaxed soft state and (b) the stiffened state, and (c) a schematic of the architecture proposed for the sea cucumber dermis and of the retro-engineered biomimetic nanocomposites used for mechanically dynamic intracortical microelectrodes. Photos courtesy of F. Carpenter of Frc Photography.

Figure 1

Figure 2. (a) Tensile storage moduli E′ of ethylene oxide-epichlorohydrin (EO-EPI)/tunicate whisker nanocomposites as a function of volume fraction of whiskers. The nanocomposites were conditioned by either drying in vacuum, equilibrium swelling in deionized water, or swelling to saturation in deionized water followed by re-drying in vacuum. The lines represent values predicted by the percolation (solid) and Halpin-Kardos (dotted) models. The arrow indicates changes in modulus and volume fraction of whiskers resulting from aqueous swelling of one selected sample (19% v/v tunicate whiskers). (b) Time-dependent modulus decrease of neat poly(vinyl acetate) (PVAc) and a 12.2% v/v PVAc/tunicate whisker nanocomposite upon immersion into artificial cerebrospinal fluid (ACSF) and increasing the temperature from 23°C to 37°C. Lines represent time required for temperature to increase from 23°C to 37°C and isothermal control at 37°C. Reprinted with permission from Reference 68. ©2008, AAAS.

Figure 2

Figure 3. (a) Micromachined dogbone structure with lithographically defined Ti/Au pads and trace for evaluating mechanical properties; (b) laser-micromachined cortical probe with a lithographically defined Ti/Au electrode, interconnects, and parylene capping layers (cf. Figure 4, entry 10). In both cases, a 12.2% v/v poly(vinyl acetate) (PVAc)/tunicate whisker nanocomposite was used as the mechanically adaptive substrate (thickness 60 μm). Reprinted with permission from Reference 95. ©2011, IOP Publishing.

Figure 3

Figure 4. Fabrication process used to integrate metal electrodes and parylene insulation layers onto a chemically sensitive poly(vinyl acetate) (PVAc)/tunicate whisker (TW) substrate. Reprinted with permission from Reference 95. ©2011, IOP Publishing.

Figure 4

Figure 5. Snapshots of a movie that show insertion attempts of microprobes consisting of an adaptive 12.2% v/v poly(vinyl acetate) (PVAc)/tunicate whisker nanocomposite (NC) and (as reference) the neat PVAc polymer into the brain of a rat. (a) Before initial insertion, the NC is about one millimeter above the brain’s surface. (b) Upon movement, the NC indents and then penetrates the pia and cortex. (c) After the completion of movement, the NC is implanted in the brain, and the indentation is relaxed. (d) Before initial insertion, the neat polymer is about one millimeter above the brain’s surface. (e) Upon movement, the neat polymer indents the pia, but quickly buckles. (f) After the completion of movement, the neat polymer is completely buckled. Reprinted with permission from Reference 94. ©2011, IOP Publishing. To review the movie, please visit http://dx.doi.org/10.1557/mrs.2012.97Q1: Please replace this with a doi number. I have placed the mp4 file here: ftp://ftp2.tnq.co.in/CUP/To_TnQ/MRSB/042412/.

Figure 5

Figure 6. The Young’s modulus of the nanocomposite material (12.2% v/v poly(vinyl acetate)/tunicate whisker) was measured for bulk films with a dynamic mechanical analyzer (DMA) (open squares; bulk materials73) and microprobes with a micro tensile tester (open circles; explanted microprobes) to reflect the mechanical morphing from stiff to compliant. DMA samples were exposed in situ (i.e., in the DMA setup) to artificial cerebrospinal fluid (ACSF) that was preheated to 37°C,73 while microprobes were implanted into a rat cortex and explanted for mechanical testing. The x-axis indicates the time of exposure to either ACSF or implantation into the rat cortex, respectively. Reprinted with permission from Reference 94. ©2011, IOP Publishing.

Figure 6

Figure 7. In order to assess the proximity of neurons to the electrode materials that were implanted into rats, we utilized standard biochemical markers for the nucleus of neurons (neuronal nuclei or NeuN) and imaged the tissue sections with a fluorescent microscope. Representative images of NeuN for tissue that had electrode materials implanted for either four (a, b) or eight (c, d) weeks are shown for both nanocomposite (NC) (a, c) and wire (b, d) implants. Each “white” circle represents a neuron. More neurons found close to the hole created by the implant indicates less neuron death at the device/tissue interface. Scale bars are 100 μm. Reprinted with permission from Reference 96. ©2011, IOP Publishing.