Brain networks involved in source monitoring in schizophrenia
department or school: Medicine, Faculty of
data provider: DSpace
degree campus: UBCV
creator: Metzak, Paul
issued: 2011-04-01T21:08:56Z
issued: 2011
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: 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.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/33227
note: BRAIN NETWORKS INVOLVED IN SOURCE MONITORING IN SCHIZOPHRENIA by PAUL METZAK B.A., Simon Fraser University, 2006 A THESIS SUBMITED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in THE FACULTY OF GRADUATE STUDIES (Neuroscience) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) March, 2011 © Paul Metzak, 2011 ii Abstract 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. iii Preface This research was approved by the UBC Clinical Research Ethics Board, Certificate Number: C05-0509. iv Table of Contents Abstract .......................................................................................................................................... ii Preface ..........…
has type: Thesis/Dissertation
date issued: 2011-05
is shown at: 10.14288/1.0071664
language: eng
degree discipline: Neuroscience
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution 3.0 Unported
rights URI: http://creativecommons.org/licenses/by/3.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/33227