Simulation of Mental Disorders: II. Computer Models, Purposes and Future Directions

Area of Science:

• Neuroscience
• Computational Psychiatry
• Artificial Intelligence

Background:

• The human brain's complexity and the multifaceted nature of mental disorders hinder etiological and pathophysiological studies.
• Computational and animal models offer potential avenues for understanding mental illness.
• Previous work explored general mental illness simulation and animal models.

Purpose of the Study:

• To evaluate the advantages and limitations of large-scale computer simulations for investigating mental disorders.
• To address the biological-phenomenological gap in current mental disorder research.

Main Methods:

• Focus on large-scale computer simulation for mental disorder research.
• Analysis of the biological-phenomenological gap in understanding mental disorders.
• Exploration of the utility of virtual brain simulations.

Main Results:

• The biological-phenomenological gap significantly restricts the creation of high-fidelity computational models of mental illness.
• Current knowledge limitations impact the accuracy of brain simulations for mental disorders.

Conclusions:

• Large-scale computer simulations face significant limitations in modeling mental disorders due to the current understanding gap.
• Focused brain simulations, mimicking specific symptoms in virtual brains, can be valuable tools for exploring mental disorders, similar to animal models.