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Updated: Jan 10, 2026
The Evoked Potential Operant Conditioning System EPOCS: A Research Tool and an Emerging Therapy for Chronic Neuromuscular Disorders
Published on: August 25, 2022
Outcome processing response coupled to feedback-related EEG dynamics during discrete and continuous performance
Ruijie Luo1, Jianjun Meng2, Yuxuan Wei1
1Institute of Robotics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Background:
Error-related potential (ErrP) reflects the inconsistency between internal expectation and external feedback outcome. Despite the exploration of numerous experimental paradigms, ErrP components exhibit distinct latency and amplitude across different paradigms. However, previous studies have not quantitatively correlated potential influencing factors with this ErrP variability. Additionally, these qualitatively analyzed factors offer limited predictions for ErrP in new paradigms.
New Method:
We proposed that a neutral condition removing goal-directed outcome expectations reflects cross-paradigm variability in correct and erroneous outcome responses. This neutral condition was designed as a control condition for each paradigm. Three different paradigms were designed to provide discrete and continuous varied feedback outcomes. Correlations were assessed between neutral condition responses and correct and erroneous outcome responses in latency and amplitude. The predictive effectiveness of neutral condition responses for new paradigms was further evaluated through single-trial cross-paradigm classification.
Results:
Correct and erroneous outcome responses were observed to have significant latency and amplitude coupling with these neutral condition responses in the middle frontal and bilateral parietal regions. Results from source reconstruction, pupillometry data, and workload score confirm that the neutral condition serves as the baseline response for outcome processing responses. This baseline relationship explains the cross-paradigm ErrP variability.
Comparison With Existing Methods:
The single-trial decoding results show that utilizing neutral condition responses can significantly increase the accuracy of cross-paradigm classification by up to 7 % and 17 % with covariance-based and amplitude-based approaches.
Conclusion:
These findings provide a quantitative physiological explanation for cross-paradigm ErrP variability and promote transfer learning applications in ErrP-based BCIs.
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