Intermittent Explosive Disorder (IED) is a psychological condition characterized by recurrent episodes of aggressive outbursts that are disproportionate to the situation. This study introduces a novel combination of epigenetic theory, simulation modeling, and generative artificial intelligence. It explores the role of epigenetic mechanisms in the development of IED within the context of childhood abuse, with a particular focus on the HTR1B gene, which influences emotion regulation and exhibits altered function in individuals with IED. A fifth-order adaptive network model was developed to simulate the development of IED under two conditions: one without intervention and one incorporating cognitive behavioral therapy (CBT). The results suggest that the inclusion of CBT enhances emotion regulation compared to the scenario without the therapy. Furthermore, simulation data from the model without CBT intervention was utilized to create an AI-generated video that highlighted the context of childhood abuse and depicted aggressive outbursts in individuals with IED, with the intensity of the actions and behaviors aligning with the model’s output. The video development process demonstrated both the potential and current limitations of generative AI in creating therapeutic visualizations. While further refinement and validation would be beneficial, the results indicate a promising direction for future interdisciplinary research at the intersection of psychological disorders, epigenetics, therapy, and AI tools.

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Higher-Order Adaptive Network Modeling and AI-Generated Videos for Therapeutic Applications in Intermittent Explosive Disorder

  • Amina Ahmad,
  • Arshana Ramautar,
  • Roy M. Treur,
  • Sophie C. F. Hendrikse,
  • Jan Treur

摘要

Intermittent Explosive Disorder (IED) is a psychological condition characterized by recurrent episodes of aggressive outbursts that are disproportionate to the situation. This study introduces a novel combination of epigenetic theory, simulation modeling, and generative artificial intelligence. It explores the role of epigenetic mechanisms in the development of IED within the context of childhood abuse, with a particular focus on the HTR1B gene, which influences emotion regulation and exhibits altered function in individuals with IED. A fifth-order adaptive network model was developed to simulate the development of IED under two conditions: one without intervention and one incorporating cognitive behavioral therapy (CBT). The results suggest that the inclusion of CBT enhances emotion regulation compared to the scenario without the therapy. Furthermore, simulation data from the model without CBT intervention was utilized to create an AI-generated video that highlighted the context of childhood abuse and depicted aggressive outbursts in individuals with IED, with the intensity of the actions and behaviors aligning with the model’s output. The video development process demonstrated both the potential and current limitations of generative AI in creating therapeutic visualizations. While further refinement and validation would be beneficial, the results indicate a promising direction for future interdisciplinary research at the intersection of psychological disorders, epigenetics, therapy, and AI tools.