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Imbalances in memory traces in reinforcement and punishment systems reinforce implicit choices, leading to compulsive behavior
Scientists from the Nara Institute of Science and Technology (NAIST), the International Institute of Advanced Telecommunications and Tamagawa University have demonstrated that obsessive-compulsive disorder (OCD) can be understood as the result of a learning imbalance between reinforcement and punishment
Obsessive-compulsive disorder is a mental disorder that involves anxiety and is characterized by intrusive and repetitive thinking, called compulsions, combined with certain repetitive behaviors, called compulsions
Now, a team led by researchers at NAIST has used reinforcement learning theory to model the disorderly cycles associated with obsessive-compulsive disorder
To test this prediction, the researchers had 45 people with OCD and 168 healthy controls play a computer game with monetary rewards and punishments
While it is currently difficult to identify refractory patients based on clinical symptoms, this computational model suggests that patients with highly imbalanced trace decay factors may not respond to behavioral therapy alone
Memory trace imbalance in reinforcement and punishment systems can reinforce implicit choices leading to obsessive-compulsive behavior
