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How Do Schizophrenia Patients Use Visual Information to Decode Facial Emotion?

机译:精神分裂症患者如何使用视觉信息来解码面部情绪?

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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.
机译:识别面部情绪的障碍是精神分裂症患者的主要特征,但这种障碍的潜在机制仍不清楚。这项研究调查了视觉信息的特定方面,这些信息对于精神分裂症患者识别情绪表达至关重要。使用Bubbles技术,我们在21位精神分裂症患者和17位健康对照的面部情感歧视任务(恐惧与幸福)中探究了视觉信息的使用。视觉信息是通过随机定位的高斯孔径(或“气泡”)以5个空间频率尺度进行采样的。在线校准通过气泡暴露的面部数量,以确保每个受试者的总体准确性达到75%。在样本信息和准确性之间进行最小二乘多元线性回归分析,以识别用于识别情感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暴露面部区域(即,更多气泡)。为了识别出可怕的面孔,精神分裂症患者与健康对照组相比,在高空间频率上对双眼区域的依赖较少。为了识别笑脸,精神分裂症患者依靠口腔和眼部区域。健康的对照者没有利用眼睛,并且比患者少使用了嘴。精神分裂症患者需要更多的面部信息来识别面部表情。此外,患者在使用眼部区域的高空间频率信息来识别恐惧面孔方面与对照组不同。这项研究提供了直接的证据,表明精神分裂症患者采用了一种非典型的策略,即使用视觉信息来识别情绪面孔。

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