Schizophrenia is characterized by cognitive deficits in many domains. One of the domains in which these deficits are commonly found is in self-other source monitoring. Source monitoring refers to the set of processes by which individuals recall the conditions and contextual details surrounding the encoding of a memory episode, and self-other source monitoring specifically involves differentiating between actions performed by oneself versus those performed by another person. In this study, the goal was to investigate the neural basis of self-other source monitoring, and to discover how this neural activity differs in schizophrenia. The results of this study indicate that schizophrenia patients and healthy control subjects utilize essentially the same neural network for self-other source monitoring, and that this network involves brain areas that have been described as belonging to the task-positive and task-negative networks. Multiple statistical methods were used to analyze this dataset in order to provide a comprehensive set of results, as well as to determine the agreement between them. Although differences exist between the methods employed herein, in both the matrices that are used as input, and the mathematical operations performed on them, the results suggest that all the methods identified a common signal in the data.Medicine, Faculty ofGraduat
