Ear-EEG sensitivity modeling for neural sources and ocular artifacts

Front Neurosci. 2023 Jan 9:16:997377. doi: 10.3389/fnins.2022.997377. eCollection 2022.

Abstract

The ear-EEG has emerged as a promising candidate for real-world wearable brain monitoring. While experimental studies have validated several applications of ear-EEG, the source-sensor relationship for neural sources from across the brain surface has not yet been established. In addition, modeling of the ear-EEG sensitivity to sources of artifacts is still missing. Through volume conductor modeling, the sensitivity of various configurations of ear-EEG is established for a range of neural sources, in addition to ocular artifact sources for the blink, vertical saccade, and horizontal saccade eye movements. Results conclusively support the introduction of ear-EEG into conventional EEG paradigms for monitoring neural activity that originates from within the temporal lobes, while also revealing the extent to which ear-EEG can be used for sources further away from these regions. The use of ear-EEG in scenarios prone to ocular artifacts is also supported, through the demonstration of proportional scaling of artifacts and neural signals in various configurations of ear-EEG. The results from this study can be used to support both existing and prospective experimental ear-EEG studies and applications in the context of sensitivity to both neural sources and ocular artifacts.

Keywords: EEG artifacts; blinks; ear-EEG; forward modeling; horizontal saccades; neural sources; vertical saccades.

Grants and funding

MY was supported by the Racing Foundation Grant Number: 285/2018, the USSOCOM Grant Number: EESB P85655, and the MURI/EPSRC Grant Number: EP/P008461. MT was supported by the UKRI CDT in AI for Healthcare (http://ai4health.io) (Grant Number: P/S023283/1). DM was partially supported by the USSOCOM Grant Number: EESB P85655. All funder's have supported both the research and publication for this paper.