A Comprehensive Mathematical Model for Understanding the Dynamic Characteristics of Autism Spectrum Disorder Symptoms: Incorporating Predictive Coding, Information Theory, and Network Dynamics

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The study develops mathematical models to represent the dynamic characteristics of Autism Spectrum Disorder (ASD) symptoms.
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Models are grounded in neuropsychological theories, including Predictive Coding, Information Theory, and Network Neuroscience.
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Theoretical equations quantify symptom dynamics, addressing social reciprocity, nonverbal communication, and repetitive behaviors.
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The framework aims to improve clinical assessment and personalized treatment strategies for individuals with ASD.
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Empirical validation is necessary to test model predictions and establish clinical utility in ASD interventions.

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