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Intracortical Microelectrode Array Unit Yield under Chronic Conditions: A Comparative Evaluation.

Joshua O Usoro1, Brandon S Sturgill1, Kate C Musselman1

  • 1Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.

Micromachines
|August 27, 2021
PubMed
Summary
This summary is machine-generated.

Chronic microelectrode array (MEA) studies show significant variability in duration and performance. Active electrode yield (AEY) decays linearly in rodents, establishing a benchmark for reliable neural prosthesis development.

Keywords:
active electrode yieldchronicintracorticalmicroelectrode arrayneural interface

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Materials Science

Background:

  • Microelectrode arrays (MEAs) are crucial for understanding neural circuits and developing cortical neuroprostheses.
  • A significant challenge lies in creating and validating chronically reliable MEA technology.
  • Existing studies report "chronic" data with inconsistent durations and performance metrics.

Purpose of the Study:

  • To review and understand the variability in experimental durations defining chronic studies across different MEA types and animal models.
  • To establish a benchmark for comparing the performance of novel MEA technologies.
  • To highlight the need for standardization in chronic MEA research.

Main Methods:

  • Systematic review of experimental durations in chronic MEA studies.
  • Analysis of active electrode yield (AEY) in rodent models for various MEA types.
  • Comparison of custom MEA device performance against conventional MEAs.

Main Results:

  • Widespread variance observed in chronic implantation periods within species.
  • AEY demonstrated a linear decay in rodent models using commercially available MEAs.
  • Significant differences in performance metrics were noted between custom and conventional MEAs.

Conclusions:

  • The study provides a benchmark for evaluating new chronic MEA technologies.
  • Inconsistency in reporting chronic study durations necessitates standardization.
  • Factors like abiotic failure, biological responses, and device application critically influence chronic performance.