Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-28455
Publication type: | Article in scientific journal |
Type of review: | Peer review (publication) |
Title: | EEG error-related potentials encode magnitude of errors and individual perceptual thresholds |
Authors: | Iwane, Fumiaki Sobolewski, Aleksander Chavarriaga, Ricardo Millán, José del R. |
et. al: | No |
DOI: | 10.1016/j.isci.2023.107524 10.21256/zhaw-28455 |
Published in: | iScience |
Volume(Issue): | 26 |
Issue: | 9 |
Page(s): | 107524 |
Issue Date: | 2023 |
Publisher / Ed. Institution: | Cell Press |
ISSN: | 2589-0042 |
Language: | English |
Subjects: | EEG; Brain-computer interface; Error-related potential; Magnitude of errors; theta-gamma oscillatory coupling |
Subject (DDC): | 006: Special computer methods 150: Psychology |
Abstract: | Error-related potentials (ErrP) are a prominent electroencephalogram (EEG) correlate of performance monitoring, and so crucial for learning and adapting our behavior. It is poorly understood whether ErrPs encode further information beyond error awareness. We report an experiment with sixteen participants over three sessions in which occasional visual rotations of varying magnitude occurred during a cursor reaching task. We designed a brain-computer interface (BCI) to detect ErrP that provided real-time feedback. The individual ErrP-BCI decoders exhibited good transfer across sessions and scalability over the magnitude of errors. A non-linear relationship between the ErrP-BCI output and the magnitude of errors predicts individual perceptual thresholds to detect errors. We also reveal theta-gamma oscillatory coupling that co-varied with the magnitude of the required adjustment. Our findings open new avenues to probe and extend current theories of performance monitoring by incorporating continuous human-interaction tasks and analysis of the ErrP complex rather than individual peaks. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/28455 |
Fulltext version: | Published version |
License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
Departement: | School of Engineering |
Organisational Unit: | Centre for Artificial Intelligence (CAI) |
Appears in collections: | Publikationen School of Engineering |
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File | Description | Size | Format | |
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2023_Iwane-etal_EEG-error-related-potentials_iScience.pdf | 2.91 MB | Adobe PDF | View/Open |
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Iwane, F., Sobolewski, A., Chavarriaga, R., & Millán, J. d. R. (2023). EEG error-related potentials encode magnitude of errors and individual perceptual thresholds. iScience, 26(9), 107524. https://doi.org/10.1016/j.isci.2023.107524
Iwane, F. et al. (2023) ‘EEG error-related potentials encode magnitude of errors and individual perceptual thresholds’, iScience, 26(9), p. 107524. Available at: https://doi.org/10.1016/j.isci.2023.107524.
F. Iwane, A. Sobolewski, R. Chavarriaga, and J. d. R. Millán, “EEG error-related potentials encode magnitude of errors and individual perceptual thresholds,” iScience, vol. 26, no. 9, p. 107524, 2023, doi: 10.1016/j.isci.2023.107524.
IWANE, Fumiaki, Aleksander SOBOLEWSKI, Ricardo CHAVARRIAGA und José del R. MILLÁN, 2023. EEG error-related potentials encode magnitude of errors and individual perceptual thresholds. iScience. 2023. Bd. 26, Nr. 9, S. 107524. DOI 10.1016/j.isci.2023.107524
Iwane, Fumiaki, Aleksander Sobolewski, Ricardo Chavarriaga, and José del R. Millán. 2023. “EEG Error-Related Potentials Encode Magnitude of Errors and Individual Perceptual Thresholds.” iScience 26 (9): 107524. https://doi.org/10.1016/j.isci.2023.107524.
Iwane, Fumiaki, et al. “EEG Error-Related Potentials Encode Magnitude of Errors and Individual Perceptual Thresholds.” iScience, vol. 26, no. 9, 2023, p. 107524, https://doi.org/10.1016/j.isci.2023.107524.
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