When the statistical MMN meets the physical MMN.

Area of Science:

• Auditory neuroscience
• Cognitive psychology
• Neuroscience

Background:

• The brain predicts upcoming sensory information.
• Deviations from predictions, or prediction errors, are crucial for learning.
• How auditory prediction errors are processed remains incompletely understood.

Purpose of the Study:

• To investigate how listeners process prediction errors in auditory sequences.
• To examine the interaction between statistical learning and physical sound attribute deviance.

Main Methods:

• Electroencephalography (EEG) was used to record brain activity.
• Participants listened to continuous auditory streams containing sound triplets.
• Deviations were either statistical (transitional probability), physical (sound location), or combined.

Main Results:

• Statistical deviants elicited a statistical mismatch negativity (MMN).
• Physical deviants elicited a physical MMN.
• The statistical MMN was reduced when occurring with a physical deviant, indicating an interaction.

Conclusions:

• Auditory prediction error processing is influenced by both learned statistical regularities and physical sound attributes.
• Physical sound deviance can suppress the brain's response to learned statistical patterns.
• This suggests a hierarchical or competing system for processing different types of auditory prediction errors.