Files and links (1)
Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2024CC BY V4.0, Open
Journal article
Evaluating and benchmarking the EEG signal quality of high-density, dry MXene-based electrode arrays against gelled Ag/AgCl electrodes
Journal of neural engineering, v 21(1), 16005
12 Jan 2024
PMID: 38081060
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
Objective. To evaluate the signal quality of dry MXene-based electrode arrays (also termed 'MXtrodes') for electroencephalographic (EEG) recordings where gelled Ag/AgCl electrodes are a standard. Approach. We placed 4 x 4 MXtrode arrays and gelled Ag/AgCl electrodes on different scalp locations. The scalp was cleaned with alcohol and rewetted with saline before application. We recorded from both electrode types simultaneously while participants performed a vigilance task. Main results. The root mean squared amplitude of MXtrodes was slightly higher than that of Ag/AgCl electrodes (.24-1.94 uV). Most MXtrode pairs had slightly lower broadband spectral coherence (.05 to .1 dB) and Delta- and Theta-band timeseries correlation (.05 to .1 units) compared to the Ag/AgCl pair (p < .001). However, the magnitude of correlation and coherence was high across both electrode types. Beta-band timeseries correlation and spectral coherence were higher between neighboring MXtrodes in the array (.81 to .84 units) than between any other pair (.70 to .75 units). This result suggests the close spacing of the nearest MXtrodes (3 mm) more densely sampled high spatial-frequency topographies. Event-related potentials were more similar between MXtrodes (rho >= .95) than equally spaced Ag/AgCl electrodes (rho >= .77, p < .001). Dry MXtrode impedance ((x) over bar = 5.15 K Omega cm(2)) was higher and more variable than gelled Ag/AgCl electrodes ((x) over bar = 1.21 K Omega cm(2), p < .001). EEG was also recorded on the scalp across diverse hair types. Significance. Dry MXene-based electrodes record EEG at a quality comparable to conventional gelled Ag/AgCl while requiring minimal scalp preparation and no gel. MXtrodes can record independent signals at a spatial density four times higher than conventional electrodes, including through hair, thus opening novel opportunities for research and clinical applications that could benefit from dry and higher-density configurations.
Metrics
Details
- Title
- Evaluating and benchmarking the EEG signal quality of high-density, dry MXene-based electrode arrays against gelled Ag/AgCl electrodes
- Creators
- Brian A Erickson - Drexel University, Psychological and Brain Sciences (Psychology)Ryan Robert Rich - Drexel University, Psychological and Brain Sciences (Psychology)Sneha Shankar - University of PennsylvaniaBrian Kim - Drexel UniversityNicolette Driscoll - Massachusetts Institute of TechnologyGeorgios Mentzelopoulos - University of PennsylvaniaGuadalupe Fernandez-Nunez - Drexel UniversityFlavia Vitale - University of PennsylvaniaJohn D Medaglia (Corresponding Author) - Drexel University, Psychological and Brain Sciences (Psychology)
- Publication Details
- Journal of neural engineering, v 21(1), 16005
- Publisher
- Institute of Physics; BRISTOL
- Number of pages
- 16
- Grant note
- This work was supported by the National Institutes of Health (Award No. R01NS121219-01 to F V and J D M), philanthropic donations from Starfish Neuroscience, Inc. (to F V and J D M), and the Penn Center for Health, Devices, and Technologies (F V).
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:001142431500001
- Scopus ID
- 2-s2.0-85182500887
- Other Identifier
- 991021860723304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Neurosciences