Changes in performance monitoring during sensorimotor adaptation

Area of Science:

• Cognitive Neuroscience
• Motor Control
• Neuroscience

Background:

• Error detection and correction are crucial for motor skill learning.
• Event-related potentials (ERPs), like the error-related negativity (ERN), are used to study these processes via electroencephalography (EEG).
• The sensitivity of ERPs to error magnitude in sensorimotor adaptation remains unclear.

Purpose of the Study:

• To investigate whether ERPs are sensitive to the magnitude of errors in a visuomotor adaptation task.
• To determine if larger errors elicit different neural responses compared to smaller errors.
• To examine how error-related neural activity changes during different stages of motor adaptation.

Main Methods:

• Participants adapted manual aiming movements to visual feedback with small (30°) or large (45°) rotations.
• Trials were categorized into large and small error groups using a median split for waveform analysis.
• ERP differences were analyzed across early and late stages of adaptation.

Main Results:

• No significant differences were found between groups based on error size.
• However, ERP waveforms differed significantly between large and small error trials within participants.
• Early adaptation waveforms were larger than late adaptation waveforms, indicating practice-related changes.
• The observed ERP component correlated with error magnitude, distinguishing between different error sizes.

Conclusions:

• The study demonstrates that error-related neural activity, detectable via ERPs, is sensitive to the magnitude of errors in sensorimotor adaptation.
• While not a typical ERN, the distinct waveforms suggest error-related activity reflects error size.
• These findings contribute to understanding error processing in motor learning and skill acquisition.