Systematic Review and Meta-Analysis of Mismatch Negativity in Autism: Insights Into Predictive Mechanisms

Area of Science:

• Neuroscience
• Developmental Psychology
• Psychiatry

Background:

• Mismatch negativity (MMN) is a neural response to auditory change detection.
• Previous MMN studies in autism spectrum disorder (ASD) show inconsistent findings.
• Understanding MMN in ASD is crucial for auditory processing and change detection research.

Purpose of the Study:

• To systematically review and meta-analyze MMN amplitude and latency in ASD.
• To identify factors contributing to heterogeneity in MMN findings.
• To interpret MMN results within the predictive coding framework.

Main Methods:

• Systematic review and meta-analysis of 76 MMN amplitude effect sizes and 62 MMN latency effect sizes in ASD.
• Analysis of factors including age group, design type (unifeature vs. multifeature), and deviant type.
• Interpretation of findings using the predictive coding framework.

Main Results:

• Significant interactions found between age group and design type for MMN amplitude.
• Autistic children/adolescents showed reduced MMN amplitude in multifeature designs (g=0.25, p=0.01).
• Autistic adults showed increased MMN amplitude in multifeature designs (g=-0.26, p=0.02) and reduced MMN with phoneme deviants (g=0.41, p<0.001).
• No significant MMN latency differences were observed between neurotypical and autistic individuals.

Conclusions:

• MMN amplitude in ASD is influenced by age and experimental design.
• Findings align with predictive coding theories, suggesting heightened prediction errors in autistic adults.
• Further research with larger samples and improved reporting is needed to clarify MMN variability in ASD.