Neural Engineering
Sahana Dhananjayan
Research Assistant
University of Texas at Dallas
Allen, Texas, United States
Justin Abbott
graduate student
University of Texas at Dallas, United States
Eleanor Jeakle
Graduate Student
University of Texas at Dallas, United States
Yupeng Wu
Graduate Student
University of Texas at Dallas, United States
Mahasty Khajezadeh
Graduate Student
University of Texas at Dallas, United States
Thomas Smith
Research Assistant
The University of Texas at Dallas, United States
Ana Hernandez Reynoso, PhD
Research Scientist
The University of Texas at Dallas
Plano, Texas, United States
Joseph Pancrazio
Vice President of Research
The University of Texas at Dallas, United States
Stuart Cogan
Professor
The University of Texas at Dallas, United States
We found that right after implantation the AEY was 74.2% and 74.0% six weeks after; however, we observed fluctuations with a lowest AEY of 60.9% at two and four weeks after implantation. The Vpp remained mostly unchanged throughout the six weeks beginning at 128.9±11.3 µV and linear regression showed a loss of less than 1 µV per week. Similarly, the noise levels remained mostly constant, beginning at 9.25±2.99 µV and a slope of -0.13 µV per week. Because of the stability of these two metrics, the SNR remained stable throughout the implantation period beginning at 13.8±6.4 at the time of implantation and showed a decline of 0.18 per week.Throughout the 6-week post-implantation period, sputtered RuOx demonstrated its ability to record neural signals with AEY comparable to devices using SIROF, which have shown AEY between 70-90% in the same timeframe. The quality of the recordings from RuOx was found to be stable with only insignificant losses of signal amplitude and signal-to-noise ratio. These results highlight the reliability of RuOx as a recording material and potential alternative to SIROF, which has recently experienced cost increases due to limited supply. Future studies will investigate the long-term reliability of this material and characterize the neuroinflammatory response to validate its use in neural interfaces.