EEG error-related potentials encode magnitude of errors and individual perceptual thresholds

Iwane, Fumiaki; Sobolewski, Aleksander; Chavarriaga, Ricardo; Millán, José del R.

doi:10.1016/j.isci.2023.107524

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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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.