Role of early motor experience in infants with Down syndrome (DS)

早期运动经验对唐氏综合症（DS）婴儿的作用

• 批准号: 10603394
• 负责人: Seyda Ozcaliskan
• 金额: $ 19.5万
• 依托单位: GEORGIA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10603394
• 关键词: Administrative Supplement; African American population; Anatomy; Award; Career Choice; Cellular Phone; Child; Clinic; Clinical; Clinical Trials; Computer Vision Systems; Computer software; Control Groups; Data; Data Analyses; Data Collection; Development; Devices; Down Syndrome; Enrollment; Event; Family; Funding; Future; Genetic Diseases; Gestures; Health; Hispanic Populations; Home; Home visitation; Infant; Infant Development; Intellectual functioning disability; Intervention; Joints; Knowledge; Language Development; Leg; Life; Logistics; Longitudinal Studies; Machine Learning; Manuscripts; Mentors; Motion; Motor; Motor Activity; Motor Skills; Movement; National Institute of Child Health and Human Development; Parents; Performance; Process; Production; Publications; Research; Research Training; Role; Speech; Students; Study Subject; Supervision; Tablets; Technology; Time; Training; Travel; Underrepresented Students; United States; United States National Institutes of Health; Universities; Video Recording; Walking; arm movement; base; biobehavior; career development; clinical outcome measures; cloud storage; cognitive development; cognitive function; diversity and equity; doctoral student; experience; grasp; improved; innovation; meetings; minority student; mobile computing; new technology; parent project; patient oriented; recruit; skills; student mentoring; success; symposium; treadmill; undergraduate student

PROJECT SUMMARY This is a one-year administrative supplement to the parent award titled “Role of early motor experience in infants with Down syndrome (DS)”. Characterizing the process of motor and language development requires extensive data collection within a specific time window. Previous longitudinal studies have been hindered by logistic barriers of traveling to infants’ homes or bringing them to the lab for frequent data collections. Motor data are typically recorded using cameras and reflective markers, which requires expertise in marker placement on anatomical landmarks such as center of a joint. Emerging markerless motion capture and analysis may induce a paradigm shift in video recording of longitudinal motor data. The markerless technology has become more realistic due to recent advances in mobile technology (such as smartphone/tablet and cloud storage) and video analysis (such as computer vision and machine learning). Aim 1: Examine the reliability of markerless motor data compared to traditional marker-based motor data in infant treadmill stepping and reaching/grasping. We will utilize mobile technology (smartphone/tablet and cloud storage) to collect markerless data of treadmill stepping and reaching/grasping during our monthly home visits. We will use OpenPose (a computer vision/machine learning software) to quantify leg movement of treadmill stepping and arm movement of reaching/grasping. We will compare the markerless data with the marker-based data collected from the parent project. We hypothesize that the markerless motor data are comparable to the traditional marker-based motor data in infants with DS during treadmill stepping and reaching/grasping. When proven reliable, this new technology will allow parents in future studies to use their own devices to record their child’s motor data on a more frequent basis. This will generate a larger, real-world motor data during training and open the door for comprehensively studying the subjects’ daily motor activities beyond training. Aim 2: Promote the diversity, equity, inclusion, and accessibility (DEIA) of the parent project by recruiting two underrepresented undergraduate and two doctoral students and providing them with comprehensive research mentoring and career development. We will use the framework of the NIH UNITE and NICHD STRIVE initiatives to diversify our research team and create an individualized mentoring plan. Georgia State University is one of the most diverse universities in the United States and has been known for its research innovation, DEIA initiatives, and student success. The PIs have successfully mentored underrepresented students and will continue their DEIA efforts. The mentoring plan will include, but not limited to, training on data collection and analysis, clinical experience in DS clinics and other clinical settings, attendance and participation in research seminars, weekly research meetings with PIs, presentations at scientific conferences, participation and promotion of DEIA events, and professional development. For doctoral students, mentoring will also include manuscript publication and grantsmanship.

项目概要 这是对家长奖的为期一年的行政补充，题为“早期运动经验对婴儿的作用” 患有唐氏综合症（DS）”的运动和语言发展过程需要广泛的研究。 先前的纵向研究受到后勤的阻碍。 前往婴儿家或将他们带到实验室进行频繁数据收集的障碍是。 通常使用摄像机和反射标记进行记录，这需要在标记放置方面具有专业知识 新兴的无标记运动捕捉和分析可能会引发诸如关节中心之类的解剖学标志。 纵向运动数据视频记录的范式转变无标记技术变得更加重要。 由于移动技术（例如智能手机/平板电脑和云存储）和视频的最新进步而变得现实 分析（例如计算机视觉和机器学习）。目标 1：检查无标记运动数据的可靠性。 与婴儿跑步机迈步和伸手/抓握中传统的基于标记的运动数据相比。 利用移动技术（智能手机/平板电脑和云存储）收集跑步机步进的无标记数据 我们将在每月家访期间使用 OpenPose（计算机视觉/机器）。 学习软件）来量化跑步机上的腿部运动和伸手/抓握的手臂运动。 将比较无标记数据与从父项目收集的基于标记的数据。 DS 婴儿的无标记运动数据与传统的基于标记的运动数据具有可比性 当证明可靠时，这项新技术将允许父母在跑步机上行走和伸手/抓握。 未来的研究将更频繁地使用自己的设备记录孩子的运动数据。 在训练过程中生成更大的真实运动数据，并为全面研究 目标 2：促进受试者的多样性、公平性、包容性和可及性。 (DEIA) 的母项目，招募两名代表性不足的本科生和两名博士生，以及 我们将使用以下框架为他们提供全面的研究指导和职业发展。 NIH UNITE 和 NICHD 致力于使我们的研究团队多样化并创建个性化的团队 佐治亚州立大学是美国最多元化的大学之一，并拥有 以其研究创新、DEIA 举措和学生成功而闻名。 指导代表性不足的学生，并将继续他们的 DEIA 工作。指导计划将包括，但是。 不限于数据收集和分析培训、DS 诊所和其他临床环境的临床经验， 出席和参与研究研讨会、每周与 PI 举行的研究会议、在科学会议上的演讲 会议、DEIA 活动的参与和推广以及专业发展。 指导还包括手稿出版和资助。