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|Title: ||Development and characterization of a sucrose microneedle neural electrode delivery system|
|Authors: ||Apollo, Nicholas|
|Keywords: ||Brain-machine interface|
|Issue Date: ||Dec-2017|
|Publisher: ||John Wiley & Sons Inc.|
|Citation: ||Apollo, N. V., J. Jiang, W. Cheung, S. Baquier, A. Lai, A. Mirebedeni, J. Foroughi, G. G. Wallace, M. N. Shivdasani, S. Prawer, S. Chen, R. Williams, M. J. Cook, D. A .X. Nayagam, and D. J. Garrett. 2017. Development and characterization of a sucrose microneedle neural electrode delivery system. Advanced Biosystems: 1700187.|
|Abstract: ||Stable brain-machine interfaces present extraordinary therapeutic and scientific promise.
However, the electrode-tissue interface is susceptible to instability and damage during long-term implantation. Soft, flexible electrodes demonstrate improved longevity, but pose a new challenge with regard to simple and accurate surgical implantation. We have developed a high aspect ratio
water-soluble microneedle based on sucrose which permits straightforward surgical implantation of soft, flexible microelectrodes. Here, we present a description of the microneedle
manufacturing process, along with in vitro and in vivo safety and efficacy assessments.
Successful fabrication required control of the glass transition temperature of aqueous sucrose solutions. The insertion force of 5 different microneedle electrode vehicles was studied in agarose brain phantoms, with the sucrose microneedle eliciting the lowest insertion force and strain energy transfer. Short- and long-term assessments of the pathological response to sucrose
microneedle implantations in the brain suggested minimal tissue reactions, comparable to those observed following stainless-steel hypodermic needle punctures. Finally, microelectrodes fabricated from graphene, carbon nanotubes, or platinum were embedded in sucrose microneedles and implanted into an epileptic rat model for 22-days. All electrodes were functional throughout the implantation period, with the graphene electrode exhibiting the largest
seizure signal-to-noise ratio and only modest changes in impedance.|
|Appears in Collections:||Bionic Vision Research Publications|
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