Anderson George M, Montazeri Farhad, de Bildt Annelies
Yale Child Study Center, Yale University School of Medicine, 230 S. Frontage Rd, New Haven, CT, 06519, USA.
Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands.
J Autism Dev Disord. 2015 Oct;45(10):3115-32. doi: 10.1007/s10803-015-2537-z.
A network conceptualization might contribute to understanding the occurrence and interacting nature of behavioral traits in the autism realm. Networks were constructed based on correlations of item scores of the Autism Diagnostic Observation Schedule for Modules 1, 2 and 3 obtained for a group of 477 Dutch individuals with developmental disorders. After combining Modules, networks were obtained and compared for male versus female, high- versus low-functioning, seizure versus non-seizure, autism spectrum disorder versus intellectual disability, and younger versus older subjects. The network visualizations and calculated network parameters provide new perspectives that generate new hypothesis and suggest follow-up studies. The approach should be useful in characterizing individuals and groups, in elucidating mechanisms of trait generation and routes to outcome phenotypes, and in suggesting points of intervention.
网络概念化可能有助于理解自闭症领域行为特征的发生及相互作用性质。基于对477名患有发育障碍的荷兰个体所获得的自闭症诊断观察量表模块1、2和3的项目得分相关性构建网络。合并模块后，获得网络并对男性与女性、高功能与低功能、有癫痫发作与无癫痫发作、自闭症谱系障碍与智力残疾以及年轻与年长受试者进行比较。网络可视化和计算出的网络参数提供了新视角，从而产生新假设并建议进行后续研究。该方法在个体和群体特征描述、阐明特征产生机制和结果表型途径以及提出干预点方面应会很有用。
