Won Seunghee, Lee Won Kee, Kim Sung-Wan, Kim Jung Jin, Lee Bong Ju, Yu Je-Chun, Lee Kyu Young, Lee Seung-Hwan, Kim Seung-Hyun, Kang Shi Hyun, Kim Euitae, Chung Young-Chul
Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, South Korea.
Medical Research Collaboration Center, School of Medicine, Kyungpook National University, Daegu, South Korea.
Front Psychiatry. 2019 Aug 12;10:564. doi: 10.3389/fpsyt.2019.00564. eCollection 2019.
Patients with schizophrenia are characterized by deficits in their ability to identify facial expressions of emotion, which are associated with impaired social and occupational function. An understanding of the deficits of facial affect recognition (FAR) early in the course of the illness can improve early intervention efforts to ameliorate potential functional deterioration. This study aimed to investigate the characteristics and correlations between psychotic symptoms and FAR deficits in patients with early-stage schizophrenia using data from the Korean Early Psychosis Cohort Study. Patients with schizophrenia were divided into three groups: 1) severely and markedly ill (n = 112), 2) moderately ill (n = 96), and 3) mildly ill (n = 115). These groups were compared with age- and sex-matched healthy controls. The FAR test was developed using Korean emotional faces from the Korean Facial Expressions of Emotion database. Error rates, correct response times, and nonresponse rates of each subset were calculated. Several psychopathology assessments were also performed. There were significantly more deficits associated with the recognition of anger (p < 0.01), fear (p < 0.01), and contempt (p < 0.01) in the three patient groups than in the healthy control group. In the severely and markedly ill states, all emotions apart from surprise had impaired error rates (p < 0.01 for all analyses). The error rates for happiness, sadness, disgust, surprise, and neutral faces were not significantly different between mildly ill patients and healthy controls. All emotions, except for sadness, had significantly more delayed correct response times in all patient groups than in the healthy controls (p < 0.01 for all analyses). The severity of psychotic symptoms was positively correlated with the happiness and neutral error rates, and depression was positively correlated with the happiness error rates. General social function was negatively correlated with the error rates for happiness, sadness, fear, disgust, and surprise. Overall, our results show that the severity of psychosis and clinical symptoms leads to distinct differences in certain emotions of patients with early-stage schizophrenia. It is considered that these specific emotional characteristics will help deepen our understanding of schizophrenia and contribute to early intervention and recovery of social function in patients with schizophrenia.
精神分裂症患者的特征是识别面部情绪表情的能力存在缺陷,这与社会和职业功能受损有关。了解疾病早期面部情感识别(FAR)的缺陷可以改善早期干预措施,以减轻潜在的功能恶化。本研究旨在利用韩国早期精神病队列研究的数据,调查早期精神分裂症患者精神病症状与FAR缺陷之间的特征和相关性。精神分裂症患者被分为三组:1)重度和明显患病组(n = 112),2)中度患病组(n = 96),3)轻度患病组(n = 115)。将这些组与年龄和性别匹配的健康对照进行比较。FAR测试使用来自韩国面部表情情感数据库的韩国情感面孔开发。计算每个子集的错误率、正确反应时间和无反应率。还进行了几项精神病理学评估。与健康对照组相比,三个患者组中与愤怒(p < 0.01)、恐惧(p < 0.01)和轻蔑(p < 0.01)识别相关的缺陷明显更多。在重度和明显患病状态下,除惊讶外的所有情绪的错误率均受损(所有分析p < 0.01)。轻度患病患者与健康对照之间,快乐、悲伤、厌恶、惊讶和中性面孔的错误率没有显著差异。除悲伤外,所有患者组中所有情绪的正确反应时间均比健康对照显著延迟(所有分析p < 0.01)。精神病症状的严重程度与快乐和中性错误率呈正相关,抑郁与快乐错误率呈正相关。一般社会功能与快乐、悲伤、恐惧、厌恶和惊讶的错误率呈负相关。总体而言,我们的结果表明,精神病和临床症状的严重程度导致早期精神分裂症患者在某些情绪方面存在明显差异。认为这些特定的情绪特征将有助于加深我们对精神分裂症的理解,并有助于精神分裂症患者的早期干预和社会功能恢复。