Abstract

noninvasive electrical brain stimulation (NEBS) can modulate brain dynamics and be used to induce changes in target brain areas. Because high-voltage stimulation artifacts tend to completely dominate the simultaneously recorded EEG and vary slightly trial by trial in both amplitude and phase, the majority of studies to date have simply compared poststimulation and prestimulation periods. Here, we propose the use of a modified joint blind source separation (JBSS) approach for removing stimulation artifacts when the same stimulus is applied in multiple epochs. quadrature regression and subsequent independent vector analysis (q-IVA) was applied to simulated and real EEG datasets recorded from ten subjects who received theta-band galvanic vestibular stimulation. in simulations, q-IVA and JBSS approaches significantly improved the relative root-mean-squared error, correlation coefficient, and power deviation between the original and recovered EEG compared to conventional methods. In the real EEG data, after removing the artifacts with q-IVA, the power spectra during stimulation demonstrated significantly enhanced beta and gamma power compared to prestimulation, becoming similar to that seen in immediate poststimulation periods. In addition, we demonstrate that increased alpha power (8-13Hz) in occipital regions with eye closure could be reliably detected in the cleaned EEG data after applying q-IVA. q-IVA and JBSS approaches outperform conventional artifact removal methods in both time and frequency domains. our results provide a promising way to effectively isolate stimulation artifacts in EEG, paving the way for future studies attempting to uncover ongoing modulation of brain activity during NEBS.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.