Webb Sara Jane, Shic Frederick, Murias Michael, Sugar Catherine A, Naples Adam J, Barney Erin, Borland Heather, Hellemann Gerhard, Johnson Scott, Kim Minah, Levin April R, Sabatos-DeVito Maura, Santhosh Megha, Senturk Damla, Dziura James, Bernier Raphael A, Chawarska Katarzyna, Dawson Geraldine, Faja Susan, Jeste Shafali, McPartland James
Center on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States.
Front Integr Neurosci. 2020 Feb 7;13:71. doi: 10.3389/fnint.2019.00071. eCollection 2019.
The objective of the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) is to evaluate a set of lab-based behavioral video tracking (VT), electroencephalography (EEG), and eye tracking (ET) measures for use in clinical trials with children with autism spectrum disorder (ASD). Within the larger organizational structure of the ABC-CT, the Data Acquisition and Analytic Core (DAAC) oversees the standardization of VT, EEG, and ET data acquisition, data processing, and data analysis. This includes designing and documenting data acquisition and analytic protocols and manuals; facilitating site training in acquisition; data acquisition quality control (QC); derivation and validation of dependent variables (DVs); and analytic deliverables including preparation of data for submission to the National Database for Autism Research (NDAR). To oversee consistent application of scientific standards and methodological rigor for data acquisition, processing, and analytics, we developed standard operating procedures that reflect the logistical needs of multi-site research, and the need for well-articulated, transparent processes that can be implemented in future clinical trials. This report details the methodology of the ABC-CT related to acquisition and QC in our Feasibility and Main Study phases. Based on our acquisition metrics from a preplanned interim analysis, we report high levels of acquisition success utilizing VT, EEG, and ET experiments in a relatively large sample of children with ASD and typical development (TD), with data acquired across multiple sites and use of a manualized training and acquisition protocol.
自闭症临床试验生物标志物联盟(ABC-CT)的目标是评估一套基于实验室的行为视频追踪(VT)、脑电图(EEG)和眼动追踪(ET)测量方法,用于自闭症谱系障碍(ASD)儿童的临床试验。在ABC-CT更大的组织结构中,数据采集与分析核心(DAAC)负责监督VT、EEG和ET数据采集、数据处理及数据分析的标准化。这包括设计和记录数据采集与分析方案及手册;促进采集方面的现场培训;数据采集质量控制(QC);因变量(DV)的推导与验证;以及分析交付成果,包括为提交给国家自闭症研究数据库(NDAR)准备数据。为监督数据采集、处理和分析过程中科学标准和方法严谨性的一致应用,我们制定了标准操作程序,这些程序反映了多中心研究的后勤需求,以及对清晰阐述、透明流程的需求,以便在未来的临床试验中实施。本报告详细介绍了ABC-CT在可行性研究阶段和主要研究阶段与采集和质量控制相关的方法。根据我们从预先计划的中期分析得出的采集指标,我们报告了在相对大量的ASD儿童和典型发育(TD)儿童样本中,利用VT、EEG和ET实验取得的高采集成功率,数据是在多个地点采集的,并且使用了标准化的培训和采集方案。