Strategies for developing ultrathin, high-density, actively multiplexed neural mapping device
Kim, Yun Soung
Loading…
Permalink
https://hdl.handle.net/2142/31108
Description
Title
Strategies for developing ultrathin, high-density, actively multiplexed neural mapping device
Author(s)
Kim, Yun Soung
Issue Date
2012-05-22T00:28:36Z
Director of Research (if dissertation) or Advisor (if thesis)
Rogers, John A.
Department of Study
Materials Science & Engineerng
Discipline
Materials Science & Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
flexible
neural
ultrathin
multiplexed
silk
Abstract
Electronic systems that integrate with biological systems must be able to accommodate the dynamic mechanical characteristics of the tissue. With the rise in the interest of diagnosing and treating brain diseases it is critical that electrodes involving brain/machine interfaces have minimal effect on the brain while ensuring conformal coverage and good signal quality. A two-stage attempt is described in this thesis, where technological advancement involved in the producing of an extremely conformal platform is described, followed by the introduction of a high-density, actively multiplexed, flexible, and foldable sensor array. Experimental data show that as substrate thickness decreased the signal quality increased. Thin mesh-type systems showed further improvements in electrode response. An array of ultrathin, highly dense silicon nanomembrane transistors was fabricated on flexible plastic substrates and recorded neural activity with high spatial resolution. Brain activities, such as sleep spindles, single-trial visual evoked responses, and electrographic seizures could be successfully recorded. Analysis of the recorded data reveals the propagation of the punctual spatial patterns composed of planar and spiral waves during epileptic stage.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
