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Schizophrenia Bulletin Advance Access originally published online on November 14, 2008
Schizophrenia Bulletin 2009 35(1):153-162; doi:10.1093/schbul/sbn157
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© The Author 2008. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org.

CNTRICS Final Task Selection: Social Cognitive and Affective Neuroscience–Based Measures

Cameron S. Carter1,2, Deanna M. Barch3, Ruben Gur4, Raquel Gur4, Amy Pinkham4 and Kevin Ochsner5
2 UC Davis Imaging Research Center, Sacramento, CA
3 Department of Psychology, Washington University, St. Louis, MO
4 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
5 Department of Psychology, Columbia University, New York, NY

1 To whom correspondence should be addressed; tel: 916-734-7783, fax: 916-734-7884, e-mail: cameron.carter{at}ucdmc.ucdavis.edu.

This article describes the results and recommendations of the third Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia meeting related to measuring treatment effects on social and affective processing. At the first meeting, it was recommended that measurement development focuses on the construct of emotion identification and responding. Five Tasks were nominated as candidate measures for this construct via the premeeting web-based survey. Two of the 5 tasks were recommended for immediate translation, the Penn Emotion Recognition Task and the Facial Affect Recognition and the Effects of Situational Context, which provides a measure of emotion identification and responding as well as a related, higher level construct, context-based modulation of emotional responding. This article summarizes the criteria-based, consensus building analysis of each nominated task that led to these 2 paradigms being recommended as priority tasks for development as measures of treatment effects on negative symptoms in schizophrenia.

Keywords: social and emotional processing / schizophrenia / CNTRICS


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