A Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals.

TitleA Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals.
Publication TypeJournal Article
Year of Publication2018
AuthorsAJ Williams, M Trumpis, B Bent, C-H Chiang, and J Viventi
JournalConference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference
Volume2018
Start Page5057
Pagination5057 - 5060
Date Published07/2018
Abstract

Micro-electrocorticography (µECoG) is a minimally invasive neural interface that allows for recording from the surface of the brain with high spatial and temporal resolution [1], [2]. However, discerning multi-unit and local field potential (LFP) activity with potentially highly-correlated signals across a dense µECoG array can be challenging. Here we describe a novel µECoG design to compare the effect of referencing recordings to a local reference electrode and common average referencing (CAR). The filtering effect and the significant increase in signal to noise ratio of the evoked response (ESNR) can be seen after re-referencing for both types of referencing. In a preliminary analysis, re-referencing the µECoG signals can increase recording performance at high contact densities in the auditory cortex. This also provides promising evidence for a versatile in-house fabricated µECoG electrode.

DOI10.1109/embc.2018.8513432
Short TitleConference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference