Emotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective.
Emotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective.
复制标题
情绪识别缺陷是精神分裂症临床高风险的个体过渡的预测因素：神经发育的观点。
DOI：
10.1017/s0033291715000902
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发表时间：
2015-10
影响因子：
6.9
通讯作者：
Javitt, D. C.
中科院分区：
文献类型：
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作者：
Corcoran, C. M.;Keilp, J. G.;Kayser, J.;Klim, C.;Butler, P. D.;Bruder, G. E.;Gur, R. C.;Javitt, D. C.
精神分裂症的特征是在面部表情和语气中识别情感的能力存在严重而致残的缺陷。虽然这些缺陷在使用最近验证的任务的精神分裂症患者中得到了很好的记录，但它们在高危人群中的预测作用尚未得到正式评估。宾夕法尼亚大学情绪识别和辨别任务，以及最近开发的听觉情绪识别措施，被应用于49名临床高危受试者，前瞻性追踪两年的精神分裂症结果，31名健康对照组，以及43名年龄在7-26岁的发育队列个人。高危受试者的情绪识别缺陷与既往精神分裂症患者的缺陷进行了比较，并与儿童到成年早期的正常神经认知生长曲线进行了比较。情绪识别缺陷显著区分了转化为精神分裂症的高危患者。相比之下，更一般的神经认知指标，如注意力警戒度或处理速度，是不可预测的。对精神分裂症发病的最佳分类模型包括面部情绪加工和阴性症状，准确率为96%，受试者-操作特征曲线下面积为0.99。在一项平行的发展研究中，发现情绪识别能力在精神分裂症的传统风险年龄之前达到成熟，这表明它们可能是早期发育侮辱的客观标志。在精神分裂症发作之前，高危患者在情绪识别方面存在严重缺陷。它们可作为早期发育性侮辱的指标，并代表早期识别和补救的有效靶点。未来在机械性和预测性两个层面上研究情绪识别缺陷的研究都受到大力鼓励。
Schizophrenia is characterized by profound and disabling deficits in the ability to recognize emotion in facial expression and tone of voice. Although these deficits are well documented in established schizophrenia using recently validated tasks, their predictive utility in at-risk populations has not been formally evaluated. The Penn Emotion Recognition and Discrimination tasks, and recently developed measures of auditory emotion recognition, were administered to 49 clinical high-risk subjects prospectively followed for 2 years for schizophrenia outcome, and 31 healthy controls, and a developmental cohort of 43 individuals aged 7–26 years. Deficit in emotion recognition in at-risk subjects was compared with deficit in established schizophrenia, and with normal neurocognitive growth curves from childhood to early adulthood. Deficits in emotion recognition significantly distinguished at-risk patients who transitioned to schizophrenia. By contrast, more general neurocognitive measures, such as attention vigilance or processing speed, were non-predictive. The best classification model for schizophrenia onset included both face emotion processing and negative symptoms, with accuracy of 96%, and area under the receiver-operating characteristic curve of 0.99. In a parallel developmental study, emotion recognition abilities were found to reach maturity prior to traditional age of risk for schizophrenia, suggesting they may serve as objective markers of early developmental insult. Profound deficits in emotion recognition exist in at-risk patients prior to schizophrenia onset. They may serve as an index of early developmental insult, and represent an effective target for early identification and remediation. Future studies investigating emotion recognition deficits at both mechanistic and predictive levels are strongly encouraged.