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Neural Correlates of Modality-Sensitive Deviance Detection in the Audiovisual Oddball Paradigm
Melissa Randazzo1, Ryan Priefer1, Paul J Smith2
1Department of Communication Sciences and Disorders, Adelphi University, Garden City, NY 11530, USA.
Brain Sciences
|June 3, 2020
Summary
Visual and auditory speech perception illusions, like the McGurk effect, were studied using mismatch negativity. Visual changes predict auditory perception, while auditory changes with constant visual input suppress responses, revealing predictive processing roles.
Area of Science:
- Neuroscience
- Psychology
- Audiology
Background:
- The McGurk effect demonstrates audiovisual speech perception, where incongruent visual and auditory stimuli create a fused percept.
- Previous research links audiovisual fusion illusions to mismatch negativity (MMN) in auditory cortex, even without acoustic changes.
Purpose of the Study:
- To investigate how visual and auditory components of incongruent speech stimuli influence the audiovisual mismatch negativity (MMN).
- To compare the neural responses to fusion and combination illusions in a passive oddball paradigm.
Main Methods:
- A passive oddball paradigm was used with audiovisual stimuli under fusion and combination illusion conditions.
- Participants viewed stimuli where either the visual or auditory aspect changed, alongside unimodal auditory and visual conditions.
- Event-related potentials (ERPs), specifically MMN, were recorded to analyze neural responses.
Main Results:
- Both fusion and combination illusions generated congruency predictions, with significant differences between standards and deviants in the N100 time window.
- The MMN response differed between fusion and combination illusions across early and late time windows.
- A changing visual signal created a new percept, whereas a changing auditory signal with a constant visual input suppressed the response, eliciting a later MMN.
Conclusions:
- Visual information plays a critical role in predicting auditory speech perception.
- Visual input can suppress auditory speech perception, supporting predictive processing models.
- The timing and nature of stimulus changes (visual vs. auditory) differentially impact audiovisual MMN responses.
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