Faculty of Medicine, Thammasat University, Pathumthani, 12120, Thailand.
Center of Excellence in Applied Epidemiology, Thammasat University, Pathumthani, 12120, Thailand.
F1000Res. 2021 Dec 8;10:1258. doi: 10.12688/f1000research.74385.3. eCollection 2021.
Schizophrenia has a broad range of interrelated symptoms and impairment in functioning. The objective of the study was to explore the interplay between positive symptoms, negative symptoms, neurocognition, social cognition and real-life functioning in patients with schizophrenia using network analysis. Participants were 64 clinically stable patients with schizophrenia. Psychopathologic, neurocognition, social cognition, and functioning were measured using the Scale for the Assessment of Positive Symptoms, Scale for the Assessment of Negative Symptoms, Addenbrooke's Cognitive Examination III, Faces test, Reading the Mind in the Eyes test, and Personal Social Performance scale. The network analysis suggested that functioning was the most central in the network followed by avolition and asociality. Functioning was directly connected to avolition, asociality, blunted affect, neurocognition and emotion recognition. The positive symptoms were the most remote and therefore the least important node. : The high centrality of functioning suggests the need for improving of everyday life skills for patients with schizophrenia. Moreover, treatment of specific negative symptoms, neurocognition and emotion recognition could also enhance functional outcome.
精神分裂症有广泛的相关症状和功能障碍。本研究的目的是使用网络分析探讨精神分裂症患者阳性症状、阴性症状、神经认知、社会认知和现实生活功能之间的相互作用。参与者为 64 名临床稳定的精神分裂症患者。使用阳性症状评定量表、阴性症状评定量表、阿登布鲁克认知测验第三版、面孔测验、眼神阅读测验和个人社会表现量表来测量精神病理学、神经认知、社会认知和功能。网络分析表明,功能在网络中最为核心,其次是意志缺乏和社交回避。功能与意志缺乏、社交回避、情感迟钝、神经认知和情绪识别直接相关。阳性症状是最遥远的,因此也是最重要的节点。:功能的高中心性表明需要提高精神分裂症患者的日常生活技能。此外,治疗特定的阴性症状、神经认知和情绪识别也可以提高功能预后。