# Analysis and Design of µECoG Array Characteristics for Optimized Signal Acquisition

> **NIH NIH F31** · DUKE UNIVERSITY · 2020 · $37,549

## Abstract

In order to develop long-term, stable interfaces with the brain, we need to understand the effects of electrode
design on the brain-electrode interface. μECoG (micro-electrocorticography) arrays are electrode arrays that
lie on the surface of the brain and require high electrode density to improve the information bandwidth of the
interface. I currently focus on the design and fabrication of novel flexible µECoG electrode arrays to optimize
spatial signal resolution, biocompatibility, and long-term reliability from recordings from the auditory cortex of
rats. In my research I determine how alterations in the size of the electrode contacts and the spacing between
the electrode contacts affects acquired signal metrics in acute and chronic recordings in rats and monkeys.
This research can be used to precisely fabricate more specifically designed electrodes that can be used for a
myriad of purposes, from epilepsy research to understanding the causes of movement disorders.

## Key facts

- **NIH application ID:** 9992974
- **Project number:** 1F31EB029316-01A1
- **Recipient organization:** DUKE UNIVERSITY
- **Principal Investigator:** Ashley Jerri Williams
- **Activity code:** F31 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $37,549
- **Award type:** 1
- **Project period:** 2020-05-01 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9992974

## Citation

> US National Institutes of Health, RePORTER application 9992974, Analysis and Design of µECoG Array Characteristics for Optimized Signal Acquisition (1F31EB029316-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9992974. Licensed CC0.

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