Mal-adaptation of event-related EEG responses preceding performance errors
Heike Eichele1, Hilde T Juvodden, Markus Ullsperger
1Department of Biological and Medical Psychology, University of Bergen Bergen, Norway.
Frontiers in Human Neuroscience
|August 27, 2010
Summary
Brain activity changes predict errors seconds before they occur. This study links performance monitoring dynamics in electroencephalography (EEG) to error-prone states.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Psychophysiology
Background:
- Behavioral errors are often preceded by detectable changes in brain activity.
- Previous research using electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) suggests these changes occur seconds before the error.
- A specific fronto-central component in EEG has been linked to error and feedback processing.
Purpose of the Study:
- To further characterize error precursor activity by investigating single-trial event-related EEG.
- To examine the trial-by-trial dynamics of a specific fronto-central independent component.
- To understand how performance monitoring dynamics contribute to error generation.
Main Methods:
- Investigated single-trial event-related EEG activity in 70 participants performing a modified Eriksen flanker task.
- Focused on a fronto-central independent component associated with error processing.
- Analyzed stimulus-locked peaks (N2, P3 latency) and pre-stimulus activity.
Main Results:
- N2 and P3 peaks showed expected modulations related to stimulus compatibility and errors.
- A pre-stimulus negative slow wave was observed on erroneous trials.
- Decreased conflict (less N2 negativity) across five trials preceding errors was associated with speeding response times.
Conclusions:
- Error-preceding activity in EEG is linked to the brain's performance monitoring system.
- The dynamics of performance monitoring directly contribute to generating error-prone states.
- These findings complement indirect effects observed in ongoing brain activity (e.g., alpha power, default mode network).

