Neural Correlates of Compulsivity

Overview

This study aims to collect data from individuals with obsessive-compulsive disorder (OCD) and healthy controls in order to clarify how learning strategies are employed differently by individuals with compulsive psychopathology and healthy individuals. Behavioral and electroencephalogram (EEG) data will be collected during one experimental reinforcement learning tasks from participants diagnosed with OCD (n = 30) and healthy controls (n = 30). Computational modeling, an advanced data analytic approach that can directly link neural measures with behavior, will be used to quantify learning processes. These parameters then will be related to measures of neural events obtained using EEG, a neuroimaging method that has high temporal resolution, to test for evidence of neurocognitive alterations.

Learning and decisions making are thought to be directed by multiple parallel cognitive systems. These systems account for automatic, inflexible responding to stimuli, as well as more deliberate, effortful representations of relationships in an environment. It has long been suggested than an imbalance in these cognitive control systems explains the emergence of compulsivity, a trait in which behaviors persist despite adverse outcomes. Compulsivity is a characteristic of a number of psychological disorders, however, current theories of how abnormalities in cognitive systems involved in learning and decision making lead to the onset of these disorders remain incomplete.

Conditions

Eligibility