Comparison of tripolar and traditional recording of the pattern-reversal visual evoked potential: signal and noise

Scalp-recorded electroencephalography (EEG) is an effective method to quantify brain activity because it is noninvasive and has high temporal resolution. However, EEG is highly susceptible to non-neural sources of electrical noise and has limited spatial resolution. Tripolar concentric ring electrodes (TCREs) provide an EEG measure (tripolar EEG; tEEG) designed to reduce these issues. Many studies using tEEG via TCRE systems have demonstrated successful noise reduction in recording muscle-related potentials and seizure detection. However, less has been done to study the efficacy of this promising technology for studying the visual system. Here, we investigate TCRE tEEG recording to evaluate any potential drawbacks or benefits over traditional EEG recording in the context of a common evoked potential paradigm familiar to the broader vision science community. Using standard clinical protocols, we qualitatively compare the morphology of the pattern-reversal visual evoked potential recorded simultaneously using tripolar EEG and emulated traditional EEG techniques from a small array of TCREs. In addition, we quantitatively compare signal to noise ratios for the responses recorded using the two techniques. Comparisons of the pattern-reversal waveforms and signal-to-noise ratios reveal that the tripolar and traditional EEG signals are undeniably similar with optimal high-contrast visual stimuli, with neither method providing a distinct advantage when the signal and noise of interest are at or near the target response frequency.

Level thesis:degree_level

Master's Degree

Year dc:date.issued

2023

Author dc:creator

• Wise, Mackenzie Victoria

Advisor dc:contributor.advisor

• Crognale, Michael A

Committee members dc:contributor.committeemember

• Caplovitz, Gideon P.
• Shen, Yantao

• Electroencephalography
• Signal-to-noise
• Surface Laplacian
• Tripolar Concentric Ring Electrode
• Vision Science
• Visual Evoked Potential

Handle dc:identifier.uri

http://hdl.handle.net/11714/8535

OAI identifier oai:identifier

oai:scholarwolf.unr.edu:11714/8535