Carter Cameron S, Barch Deanna M, Gur Ruben, Gur Raquel, Pinkham Amy, Ochsner Kevin
UC Davis Imaging Research Center, Sacramento, CA, USA.
Schizophr Bull. 2009 Jan;35(1):153-62. doi: 10.1093/schbul/sbn157. Epub 2008 Nov 14.
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.
本文描述了第三届精神分裂症认知改善认知神经科学治疗研究会议关于测量治疗对社交和情感加工影响的结果及建议。在第一次会议上,建议测量发展聚焦于情绪识别与反应的结构。通过会前基于网络的调查,五项任务被提名为该结构的候选测量方法。五项任务中的两项被建议立即翻译,即宾夕法尼亚情绪识别任务和面部表情识别与情境背景效应,后者提供了一种情绪识别与反应的测量方法,以及一个相关的、更高层次的结构,即基于情境的情绪反应调节。本文总结了对每项提名任务基于标准的、达成共识的分析,这些分析使得这两种范式被推荐为优先开发的任务,作为测量精神分裂症阴性症状治疗效果的方法。