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Auditory object segmentation amplifies prediction error signals in a complex MMN paradigm.

Fran López-Caballero¹, Dylan Seebold¹, Hayley Rhorer¹

¹Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.

Frontiers in Neuroscience

|December 22, 2025

Summary

This summary is machine-generated.

Temporal segmentation enhances auditory deviance detection by facilitating the grouping of sounds into perceptual units. This improves the brain's predictive coding abilities in complex auditory environments.

Keywords:

MEG auditory scene analysis auditory segmentation complex mismatch negativity source solutions

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Area of Science:

Auditory neuroscience
Cognitive neuroscience
Neuroimaging

Background:

Auditory deviance detection relies on segmenting sound sequences into meaningful units for predictive modeling.
Complex mismatch negativity (MMN) paradigms, like dual-rule designs, tax these processes by defining regularities based on relationships between sounds, not just individual features.
The influence of auditory segmentation facilitation on MMN remains unclear.

Purpose of the Study:

To investigate how temporal segmentation influences mismatch negativity (MMN) in a dual-rule auditory paradigm.
To compare MMN responses under continuous versus temporally segmented auditory conditions.

Main Methods:

Simultaneous electroencephalography (EEG) and magnetoencephalography (MEG) recordings were used in 32 participants.
A dual-rule MMN paradigm presented pairs of tones (A-B standards, A-A deviants) continuously (330 ms SOA) or with a temporal gap (750 ms SOA).
EEG data were analyzed at FCz, and MEG data were source-localized to bilateral primary auditory cortex (A1).

Main Results:

EEG analysis at FCz showed no significant difference in dual-rule MMN amplitudes between continuous and segmented conditions.
MEG source-localized responses in bilateral primary auditory cortex (A1) revealed significantly larger MMN amplitudes in the temporally segmented condition compared to the continuous condition.
This suggests temporal segmentation aids in forming perceptual units (tone pairs) and enhances prediction error signals when these units are violated.

Conclusions:

Temporal segmentation facilitates the auditory system's ability to group sounds into perceptual objects, such as tone pairs.
This grouping allows for predictions at both the individual sound level and the higher-order perceptual unit level.
The findings link auditory scene analysis with hierarchical predictive coding, explaining how the brain processes complex auditory information.