Duncan, Shelley, Marques, Kamyla, Ferguson, Heather J., Wilkinson, David T. (2022) Extraction of the GVS electrical artifact from EEG recordings of the motor related cortical potential. Journal of Neuroscience Methods, 368 . Article Number 109459. ISSN 0165-0270. (doi:10.1016/j.jneumeth.2021.109459) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:93238)
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Official URL: https://doi.org/10.1016/j.jneumeth.2021.109459 |
Abstract
Background: Galvanic vestibular stimulation (GVS) involves the administration of low-amplitude trans-mastoidal current which induces a dense electrical field across the scalp that is difficult to remove from the EEG record. In two proof-of-concept experiments, we designed a paradigm to evaluate functional limb movement, and tested a method of blind source separation to remove the scalp artifact induced by low-amplitude, alternating current GVS to allow measurement of the motor-related cortical response (MRCP) during voluntary movement. New Method: Off-line Extended Infomax Independent Component Analysis (ICA) was applied to the concatenated dataset to identify and remove core characteristics of the artifact induced by a trans-mastoidal current (Experiment 1: 0.01 Hz, 0.2–3 mA; Experiment 2: 0.01 Hz, 0.3–0.4 mA) during finger (Experiments 1 and 2) and foot tapping (Experiment 2). Results: In Experiment 1, a GVS-related independent component was identified and successfully removed without compromising measurement of the MRCP. This success was replicated in Experiment 2 which included both finger and foot tapping, and a higher GVS amplitude, which resulted in the identification of additional GVS- related artifacts. Comparison with existing methods: Existing methods of artifact rejection typically use an offline bandpass filter that overlaps with the frequency range of the MRCP. Even when similar ICA-based approaches have been employed, they have been applied during rest rather than active movement, have not been described in sufficient detail to enable replication, and require significant expertise and bespoke software to implement. Conclusion: The ICA-based approach described here provides a relatively simple and accessible means by which MRCPs can be measured during alternating current GVS. This provides opportunity to identify new biomarkers associated with the therapeutic effects of GVS in people with Parkinson’s disease and other disorders of voluntary movement.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.jneumeth.2021.109459 |
Uncontrolled keywords: | Galvanic vestibular stimulation, Electrophysiology, Artifact removal, Independent component analysis, Movement disorder |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology |
Divisions: | Divisions > Division of Human and Social Sciences > School of Psychology |
Depositing User: | Heather Ferguson |
Date Deposited: | 17 Feb 2022 20:22 UTC |
Last Modified: | 22 Mar 2022 15:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/93238 (The current URI for this page, for reference purposes) |
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