Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Informatics Institute, University of Amsterdam, Science Park 904, 1090, GH, Amsterdam, The Netherlands.
Psychol Med. 2023 Jan;53(2):476-485. doi: 10.1017/S0033291721001781. Epub 2021 Jun 24.
Patients with psychiatric disorders often experience cognitive dysfunction, but the precise relationship between cognitive deficits and psychopathology remains unclear. We investigated the relationships between domains of cognitive functioning and psychopathology in a transdiagnostic sample using a data-driven approach.
Cross-sectional network analyses were conducted to investigate the relationships between domains of psychopathology and cognitive functioning and detect clusters in the network. This naturalistic transdiagnostic sample consists of 1016 psychiatric patients who have a variety of psychiatric diagnoses, such as depressive disorders, anxiety disorders, obsessive-compulsive and related disorders, and schizophrenia spectrum and other psychotic disorders. Psychopathology symptoms were assessed using various questionnaires. Core cognitive domains were assessed with a battery of automated tests.
Network analysis detected three clusters that we labelled: general psychopathology, substance use, and cognition. Depressive and anxiety symptoms, verbal memory, and visual attention were the most central nodes in the network. Most associations between cognitive functioning and symptoms were negative, i.e. increased symptom severity was associated with worse cognitive functioning. Cannabis use, (subclinical) psychotic experiences, and anhedonia had the strongest total negative relationships with cognitive variables.
Cognitive functioning and psychopathology are independent but related dimensions, which interact in a transdiagnostic manner. Depression, anxiety, verbal memory, and visual attention are especially relevant in this network and can be considered independent transdiagnostic targets for research and treatment in psychiatry. Moreover, future research on cognitive functioning in psychopathology should take a transdiagnostic approach, focusing on symptom-specific interactions with cognitive domains rather than investigating cognitive functioning within diagnostic categories.
精神障碍患者常伴有认知功能障碍,但认知缺陷与精神病理学之间的确切关系尚不清楚。我们采用数据驱动的方法,在一个跨诊断样本中研究认知功能领域与精神病理学之间的关系。
进行横断面网络分析,以研究精神病理学和认知功能领域之间的关系,并在网络中检测聚类。该自然发生的跨诊断样本包括 1016 名患有各种精神疾病的精神科患者,例如抑郁障碍、焦虑障碍、强迫症及相关障碍、精神分裂症谱系及其他精神病性障碍。使用各种问卷评估精神病理学症状。使用一系列自动化测试评估核心认知领域。
网络分析检测到三个聚类,我们将其命名为:一般精神病理学、物质使用和认知。抑郁和焦虑症状、言语记忆和视觉注意力是网络中的最核心节点。认知功能与症状之间的大多数关联呈负相关,即症状严重程度增加与认知功能下降相关。大麻使用、(亚临床)精神病体验和快感缺失与认知变量之间存在最强的总负相关。
认知功能和精神病理学是相互独立但又相关的维度,它们以跨诊断的方式相互作用。抑郁、焦虑、言语记忆和视觉注意力在该网络中尤为重要,可被视为精神科研究和治疗中的独立跨诊断靶点。此外,精神病理学认知功能的未来研究应采用跨诊断方法,重点研究与认知领域的特定症状的相互作用,而不是在诊断类别内研究认知功能。