Assessment of Fetal Alcohol Spectrum Disorders (FASD) Using Novel Web-Based Tools

产前酒精暴露的有害影响，包括认知、行为和身体影响， 在过去的几十年里都有很好的记录。它们包括对多个领域的长期影响， 功能受酒精影响的人往往得不到承认。此外，评估的等待时间可能相当长， 长期以来，进一步拖延了对受影响个人的准确识别。有效的在线筛选工具可以 减少等待时间，简化专科诊所的评估。 产前酒精暴露仍然是一个重大的公共卫生问题， 记录风险、改进识别和提供临床有效的工具至关重要。因此， 该提案的首要目标是改善产前酒精暴露和胎儿酒精的筛查 频谱障碍（FASD）通过部署基于网络的工具，帮助临床评估。两个主要工具将是 使用FASD树和个人神经行为简要评估-在线版本（BRAIN在线）。 这两种工具都使用基于网络的技术来收集数据，并为临床医生提供有关 个体的身体、行为和认知属性。具体而言，FASD树记录物理和 行为数据，大脑在线测量冲动，注意力，解决问题，处理速度， 记忆、空间工作记忆和定势转换。 为了实现本研究的目的，将使用以下两种方法的组合对儿童受试者（6- 17岁）进行评价： FASD树和BRAIN在线或单独BRAIN在线（目标1-3）。家长将完成在线问卷 关于他们的孩子的背景，人口统计学，和行为，有些孩子会得到一个 标准化的神经心理测试组合。在目标1中，我们将研究 FASD树和BRAIN在线，包括每种工具的分类准确性、灵敏度和特异性， 他们的组合。在目标2中，来自这些新工具的数据将与传统和先进（例如， MorpheusQ和3D面部成像）通过其他CIFASD项目收集的物理测量。的 在拟议的研究中使用的措施的组合将导致一个方便，可扩展，和成本效益 辅助标准诊断工具。

The detrimental effects of prenatal alcohol exposure, including cognitive, behavioral, and physical impacts, have been well documented over several decades. They include long-standing effects on multiple domains of function. Alcohol-affected individuals often go unrecognized. In addition, wait times for evaluation can be quite long, further delaying the accurate identification of affected individuals. Effective online screening tools can decrease wait times and streamline evaluations in specialty clinics. Prenatal alcohol exposure continues to represent a significant public health concern and increased efforts at documenting risk, improving identification, and providing clinically-efficient tools are paramount. As such, the overarching aim of this proposal is to improve the screening for prenatal alcohol exposure and fetal alcohol spectrum disorder (FASD) by deploying web-based tools that aid in clinical evaluation. Two main tools will be used, the FASD-Tree and the Brief Assessment of Individual Neurobehavior – online version (BRAIN-online). Both tools use web-based technology for collecting data and provide the clinician with information about the individual’s physical, behavioral, and cognitive attributes. Specifically, the FASD-Tree records physical and behavioral data, and BRAIN-online measures impulsivity, attention, problem-solving, processing speed, memory, spatial working memory, and set-shifting. To achieve the aims of this study, child subjects (6-17y) will be evaluated using either the combination of FASD-Tree and BRAIN-online or BRAIN-online alone (Aim 1-3). Parents will complete online questionnaires regarding their child’s background, demographics, and behavior and some children will be given a standardized in-person neuropsychological test battery. In Aim 1, we will examine the relation between FASD-Tree and BRAIN-online, including classification accuracy, sensitivity, and specificity for each tool and their combination. In Aim 2, data from these novel tools will be combined with traditional and advanced (e.g., MorpheusQ and 3D facial imaging) physical measurements collected through other CIFASD projects. The combination of measures used in the proposed research will result in a convenient, scalable, and cost-effective adjunct to standard diagnostic tools.