Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel.
School of Behavioral Sciences, The Academic College of Tel-Aviv-Yaffo, Israel.
Schizophr Res. 2018 Dec;202:260-266. doi: 10.1016/j.schres.2018.07.007. Epub 2018 Jul 9.
Schizophrenia involves a range of interrelated impairments in functioning due to symptoms and deficits in varying domains of cognition including neurocognition, social cognition and metacognition. Yet little is known whether certain symptoms or cognitive impairments play a more central role than others. To explore, we conducted a network analysis of five types of symptoms, six domains of neurocognition and multiple aspects of both social cognition and metacognition. Participants were 81 adults with a schizophrenia spectrum disorder in a non-acute phase of the disorder. Results of the network analysis suggest that the cognitive symptoms node is most central in the network, metacognition abilities have high strength centrality measures followed by visual learning and emotion identification. In addition, distinction between the four groups of variables was supported. This suggests the need for both cognitive remediation and metacognitively oriented therapies in order to promote recovery from schizophrenia.
精神分裂症涉及一系列由于症状和认知领域的缺陷导致的功能相关障碍，包括神经认知、社会认知和元认知。然而，目前还不清楚某些症状或认知障碍是否比其他障碍更为重要。为了探索这个问题，我们对五种类型的症状、六种神经认知领域以及社会认知和元认知的多个方面进行了网络分析。参与者是 81 名处于疾病非急性期的精神分裂症谱系障碍患者。网络分析的结果表明，认知症状节点在网络中最为核心，元认知能力具有较高的强度中心度，其次是视觉学习和情绪识别。此外，还支持了四个变量组之间的区分。这表明需要认知矫正和以元认知为导向的治疗，以促进精神分裂症的康复。
