Simulation of Mental Disorders: I. Concepts, Challenges and Animal Models

Area of Science:

• Neuroscience
• Computational Psychiatry
• Mental Health Research

Background:

• Studying the causes and mechanisms of mental disorders is complex due to the brain's intricacy.
• Large-scale computer simulation of the human brain is a proposed method to overcome these research challenges.

Purpose of the Study:

• To discuss conceptual and practical issues of mental illness simulation, particularly computer simulation.
• To evaluate the benefits and drawbacks of biological simulation in animal models and virtual simulation in computer models for studying human mental disorders.

Main Methods:

• Review of conceptual and pragmatic issues in mental illness simulation.
• Analysis of biological simulation in animal models (Part I) and virtual simulation in computer models (Part II).

Main Results:

• The biological-phenomenological gap currently limits high-fidelity biological and computational models of mental illness.
• Simulation methods must be tailored to specific research goals.

Conclusions:

• Mental illness simulation, when focused on realistic objectives like mimicking specific symptoms, can be a valuable tool.
• Future research should focus on maximizing the utility of simulation by tailoring approaches and addressing knowledge gaps.