Department of Psychiatry & Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90095-6968, USA.
Schizophr Bull. 2011 Sep;37(5):1001-8. doi: 10.1093/schbul/sbq006. Epub 2010 Feb 15.
Impairment in recognizing facial emotions is a prominent feature of schizophrenia patients, but the underlying mechanism of this impairment remains unclear. This study investigated the specific aspects of visual information that are critical for schizophrenia patients to recognize emotional expression. Using the Bubbles technique, we probed the use of visual information during a facial emotion discrimination task (fear vs. happy) in 21 schizophrenia patients and 17 healthy controls. Visual information was sampled through randomly located Gaussian apertures (or "bubbles") at 5 spatial frequency scales. Online calibration of the amount of face exposed through bubbles was used to ensure 75% overall accuracy for each subject. Least-square multiple linear regression analyses between sampled information and accuracy were performed to identify critical visual information that was used to identify emotional expression. To accurately identify emotional expression, schizophrenia patients required more exposure of facial areas (i.e., more bubbles) compared with healthy controls. To identify fearful faces, schizophrenia patients relied less on bilateral eye regions at high-spatial frequency compared with healthy controls. For identification of happy faces, schizophrenia patients relied on the mouth and eye regions; healthy controls did not utilize eyes and used the mouth much less than patients did. Schizophrenia patients needed more facial information to recognize emotional expression of faces. In addition, patients differed from controls in their use of high-spatial frequency information from eye regions to identify fearful faces. This study provides direct evidence that schizophrenia patients employ an atypical strategy of using visual information to recognize emotional faces.
识别面部情绪的障碍是精神分裂症患者的一个突出特征,但这种障碍的潜在机制仍不清楚。本研究调查了对精神分裂症患者识别情绪表达至关重要的视觉信息的具体方面。使用 Bubbles 技术,我们在 21 名精神分裂症患者和 17 名健康对照者中探究了在面部情绪辨别任务(恐惧与快乐)中使用视觉信息的特定方面。通过在 5 个空间频率尺度上随机定位的高斯光圈(或“气泡”)来采样视觉信息。通过气泡对暴露的脸部面积进行在线校准,以确保每个被试的总体准确率达到 75%。对采样信息和准确率之间的最小二乘多元线性回归分析进行了执行,以确定用于识别情绪表达的关键视觉信息。为了准确识别情绪表达,与健康对照组相比,精神分裂症患者需要更多的面部区域暴露(即更多的气泡)。为了识别恐惧的面孔,与健康对照组相比,精神分裂症患者在高空间频率时较少依赖双眼区域。对于识别快乐的面孔,精神分裂症患者依赖于嘴和眼睛区域;健康对照组不使用眼睛,并且比患者使用的眼睛少得多。精神分裂症患者需要更多的面部信息来识别面部的情绪表达。此外,患者与对照组在使用眼睛的高空间频率信息来识别恐惧的面孔方面存在差异。这项研究提供了直接证据,表明精神分裂症患者采用了一种非典型的策略来使用视觉信息识别情绪面孔。