Liu Lu, Wang Yi, Chen Wai, Gao Yuan, Li Haimei, Wang Yufeng, Chan Raymond C K, Qian Qiujin
Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.
National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.
Front Psychiatry. 2022 Oct 21;13:974283. doi: 10.3389/fpsyt.2022.974283. eCollection 2022.
The conceptualizes psychiatric symptoms as networks of symptoms that causally interact with each other. Our present study aimed to explore the symptomatic structure in children with attention-deficit/hyperactivity disorder (ADHD) using network analyses. Symptom network based on 18 items of ADHD Rating Scale-IV was evaluated in 4,033 children and adolescents with ADHD. The importance of nodes was evaluated quantitatively by examining centrality indices, including Strength, Betweenness and Closeness, as well as Predictability and Expected Influence (EI). In addition, we compared the network structure across different subgroups, as characterized by ADHD subtypes, gender and age groups to evaluate its invariance. A three-factor-community structure was identified including inattentive, hyperactive and impulsive clusters. For the centrality indices, the nodes of "" and "" showed high closeness and betweenness, and represented a bridge linking the inattentive and hyperactive/impulsive domains. "" and "" were the most common endorsed symptoms in inattentive and hyperactive/impulsive domains respectively. On the contrary, the "" item formed a peripheral node showing weak links with all other items within the inattentive cluster, and the "" item as the least central node by all measures of centrality and with low predictability value. The network structure was relatively invariant across gender, age and ADHD subtypes/presentations. The 18 items of ADHD core symptoms appear not equivalent and interchangeable. "" and "" should be considered as central, or core, symptoms for further evaluation and intervention. The network-informed differentiation of these symptoms has the potentials to refine the phenotype and reduce heterogeneity.
该理论将精神症状概念化为相互之间存在因果互动的症状网络。我们目前的研究旨在使用网络分析来探索注意力缺陷多动障碍(ADHD)儿童的症状结构。在4033名患有ADHD的儿童和青少年中评估了基于ADHD评定量表-IV的18个项目的症状网络。通过检查中心性指标,包括强度、中介中心性和接近中心性,以及可预测性和预期影响(EI),对节点的重要性进行了定量评估。此外,我们比较了不同亚组的网络结构,这些亚组的特征为ADHD亚型、性别和年龄组,以评估其不变性。确定了一个三因素社区结构,包括注意力不集中、多动和冲动集群。对于中心性指标,“……”和“……”节点显示出高接近中心性和中介中心性,代表了连接注意力不集中和多动/冲动领域的桥梁。“……”和“……”分别是注意力不集中和多动/冲动领域中最常被认可的症状。相反,“……”项目形成了一个外围节点,与注意力不集中集群中的所有其他项目联系薄弱,并且“……”项目在所有中心性测量中都是最不中心的节点,且可预测性值较低。网络结构在性别、年龄和ADHD亚型/表现形式之间相对不变。ADHD核心症状的18个项目似乎并不等同且不可互换。“……”和“……”应被视为进一步评估和干预的核心症状。这些症状的基于网络的区分有可能细化表型并减少异质性。