ID | 62258 |
FullText URL | |
Author |
Bu-Omer, Hani M.
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Gofuku, Akio
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Kaken ID
publons
researchmap
Sato, Kenji
Department of Anesthesiology and Intensive Care Medicine, Kawasaki Medical School
Miyakoshi, Makoto
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego
|
Abstract | The sense of agency (SoA) is part of psychophysiological modules related to the self. Disturbed SoA is found in several clinical conditions, hence understanding the neural correlates of the SoA is useful for the diagnosis and determining the proper treatment strategies. Although there are several neuroimaging studies on SoA, it is desirable to translate the knowledge to more accessible and inexpensive EEG-based biomarkers for the sake of applicability. However, SoA has not been widely investigated using EEG. To address this issue, we designed an EEG experiment on healthy adults (n = 15) to determine the sensitivity of EEG on the SoA paradigm using hand movement with parametrically delayed visual feedback. We calculated the power spectral density over the traditional EEG frequency bands for ten delay conditions relative to no delay condition. Independent component analysis and equivalent current dipole modeling were applied to address artifact rejection, volume conduction, and source localization to determine the effect of interest. The results revealed that the alpha and low-beta EEG power increased in the parieto-occipital regions in proportion to the reduced SoA reported by the subjects. We conclude that the parieto-occipital alpha and low-beta EEG power reflect the sense of agency.
|
Keywords | sense of agency
electroencephalography (EEG)
mirror visual feedback
virtual reality
delayed visual feedback
|
Published Date | 2021-06-03
|
Publication Title |
Brain Sciences
|
Volume | volume11
|
Issue | issue6
|
Publisher | MDPI
|
Start Page | 743
|
ISSN | 2076-3425
|
Content Type |
Journal Article
|
language |
English
|
OAI-PMH Set |
岡山大学
|
Copyright Holders | © 2021 by the authors.
|
File Version | publisher
|
PubMed ID | |
DOI | |
Web of Science KeyUT | |
Related Url | isVersionOf https://doi.org/10.3390/brainsci11060743
|
License | https://creativecommons.org/licenses/by/4.0/
|