The Effect of the Elimination of Micromotion and Tissue Strain on Intracortical Device Performance

Abstract

Intracortical probes can be used to record brain signals to control paralyzed or robotic prosthetic limbs. Unfortunately, this technology is not reliable, likely for the reason that these devices are made of extremely stiff materials - 1 million times stiffer than the surrounding brain tissue. This difference in stiffness is believed to create inflammation which degrades the brain tissue and leads to device failure. While it has been previously proposed that flexible intracortical probes would exhibit an improved tissue response and enhanced device performance, there have been no definitive studies that definitively test this hypothesis. We are developing intracortical probes using shape memory polymers (SMPs): materials which have the capacity to transition from stiff to soft upon implantation. We will tune the degree of stiffness such that we can definitively address a fundamental question which limits progress in the field: Does probe softening improve the surrounding tissue response and recording performance of the device? The short term impact will be on the scientific community through publications and presentations. Over the long term, the core technology has exceptional promise for translation into the clinic. SMP-based probes are compatible with reliable manufacturing practices.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2017
Accession Number
AD1047482

Entities

People

  • Joseph J . Pancrazio

Organizations

  • University of Texas at Dallas

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Chemical Synthesis
  • Chemistry
  • Communities
  • Dielectric Permittivity
  • Dielectric Properties
  • Electrodes
  • Fabrication
  • Implantation
  • Manufacturing
  • Materials
  • Mechanical Properties
  • Physical Properties
  • Prosthetics
  • Softening
  • Spin Coatings
  • Standards
  • Stiffness

Readers

  • Nanoscale Plasmonic Nanotechnology
  • Neuroscience
  • Trauma Surgery or Emergency Medicine.

Technology Areas

  • AI & ML
  • Autonomy