Document Detail

Virtual faces as a tool to study emotion recognition deficits in schizophrenia.
MedLine Citation:
PMID:  20483465     Owner:  NLM     Status:  MEDLINE    
Studies investigating emotion recognition in patients with schizophrenia predominantly presented photographs of facial expressions. Better control and higher flexibility of emotion displays could be afforded by virtual reality (VR). VR allows the manipulation of facial expression and can simulate social interactions in a controlled and yet more naturalistic environment. However, to our knowledge, there is no study that systematically investigated whether patients with schizophrenia show the same emotion recognition deficits when emotions are expressed by virtual as compared to natural faces. Twenty schizophrenia patients and 20 controls rated pictures of natural and virtual faces with respect to the basic emotion expressed (happiness, sadness, anger, fear, disgust, and neutrality). Consistent with our hypothesis, the results revealed that emotion recognition impairments also emerged for emotions expressed by virtual characters. As virtual in contrast to natural expressions only contain major emotional features, schizophrenia patients already seem to be impaired in the recognition of basic emotional features. This finding has practical implication as it supports the use of virtual emotional expressions for psychiatric research: the ease of changing facial features, animating avatar faces, and creating therapeutic simulations makes validated artificial expressions perfectly suited to study and treat emotion recognition deficits in schizophrenia.
Miriam Dyck; Maren Winbeck; Susanne Leiberg; Yuhan Chen; Klaus Mathiak
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-05-18
Journal Detail:
Title:  Psychiatry research     Volume:  179     ISSN:  0165-1781     ISO Abbreviation:  Psychiatry Res     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-10-04     Completed Date:  2010-11-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7911385     Medline TA:  Psychiatry Res     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  247-52     Citation Subset:  IM    
Copyright Information:
Copyright © 2009 Elsevier Ltd. All rights reserved.
Department of Psychiatry and Psychotherapy, JARA, Translational Brain Medicine, RWTH Aachen University, Aachen, Germany.
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MeSH Terms
Analysis of Variance
Facial Expression*
Photic Stimulation
Reaction Time
Recognition (Psychology)*
Schizophrenic Psychology*
Social Perception

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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