CARE4Kids: Imaging Biomarker Core

CARE4Kids：成像生物标志物核心

• 批准号: 10203601
• 负责人: PAUL M THOMPSON
• 金额: $ 23.01万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-08 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10203601
• 关键词: 3-Dimensional; Administrative Supplement; Adolescent; Affect; Anatomy; Biological Markers; Blood; Brain; Brain Concussion; Brain imaging; Brain scan; Calibration; Cerebrovascular Circulation; Child; Clinical; Clinical assessments; Collection; Common Data Element; Communities; Data; Data Adjustments; Data Analyses; Data Collection; Data Coordinating Center; Detection; Development; Diffusion Magnetic Resonance Imaging; Ensure; Feedback; Functional Magnetic Resonance Imaging; Funding; Genetic study; Geometry; Goals; Image; Individual; Inflammation; Information Theory; International; Machine Learning; Magnetic Resonance Imaging; Measurable; Measures; Methods; Modality; Modeling; Monitor; Motion; Multimodal Imaging; National Institute of Neurological Disorders and Stroke; Nervous System Trauma; Outcome; Outcome Measure; Participant; Perfusion; Phase; Post-Concussion Syndrome; Predisposition; Process; Prognosis; Protocols documentation; Quality Control; Recommendation; Research; Resolution; Rest; Running; Sample Size; Scanning; Site; Spin Labels; Standardization; Structure; Subgroup; Supervision; Testing; Time; Training; Travel; United States; United States National Institutes of Health; Universities; Utah; Validation; White Matter Hyperintensity; Work; base; biobank; blood perfusion; brain volume; cognitive development; cohort; combat; cost; data collection site; data exchange; data harmonization; data quality; design; endophenotype; experience; falls; functional outcomes; imaging biomarker; imaging facilities; imaging modality; imaging study; indexing; injured; innovation; mild traumatic brain injury; multimodality; neuroimaging; neuropathology; outcome prediction; patient population; patient subsets; phenotypic data; predict clinical outcome; tool; volunteer; white matter

PROJECT SUMMARY/ABSTRACT – Imaging Biomarker Core The CARE4Kids Center Without Walls Project aims to discover measurable biomarkers of persistent post- concussive symptoms (PPCS) and use these markers to characterize subgroups (endophenotypes) that will inform prognosis and potential treatment. Advanced neuroimaging offers great promise in revealing how concussion affects brain structure and function, but relatively small sample sizes have limited the reliability and generalizability of imaging studies to date. The overall goal of the Imaging Biomarker Core is to collect state-of- the-art multimodal brain imaging data that is maximally informative about outcomes in children and adolescents with concussion. Multimodal imaging will be collected in the Development Cohort, at baseline only, and used to develop and test models of outcome prediction that will be examined in the Validation Cohort. The neuroimaging protocol is designed to maximize data quality and minimize discomfort for our injured, younger patient population and is based on existing multi-site efforts (i.e., ABCD, UK Biobank) and NINDS imaging recommendations. The Imaging Biomarker Core has the following Specific Aims: Specific Aim 1: Discover which multimodal brain imaging measures best predict clinical outcomes in concussion (separately, and when combined with other biomarkers and clinical measures). Specific Aim 2: Neuroimaging site qualification and training – site qualification using pilot data and coordinated training will prepare sites to collect high-quality data. Specific Aim 3: Collect high-quality multimodal brain MRI – 360 participants will be scanned across 6 sites in the Development Cohort. Specific Aim 4: Ongoing data quality control – ongoing quality control through phantoms, volunteers, and data review will ensure high-quality data that is maximally comparable across sites. Specific Aim 5: Analyze Data: Transfer images and derived measures to the University of Utah Data Coordinating Center (U-DCC) to disseminate to the research community. We will use standardized, validated, publicly-available protocols to process the neuroimaging data. Measures of regional brain volumes, cortical geometry, white matter organization, functional connectivity, perfusion, and neuropathology (i.e., microbleeds and white matter hyperintensities) will be compared between groups and examined for correlation with outcome measures. In addition to these simpler approaches, working with the U-DCC, we will employ machine learning approaches to identify which combination of imaging, demographic, and clinical measures best predicts functional outcome.

项目摘要/摘要 – 成像生物标志物核心 CARE4Kids Center Without Walls 项目旨在发现持续性后遗症的可测量生物标志物。 脑震荡症状 (PPCS) 并使用这些标记来表征亚组（内表型），这些亚组将 告知预后和潜在的治疗。先进的神经影像学为揭示如何 脑震荡影响大脑结构和功能，但相对较小的样本量限制了可靠性和 迄今为止影像学研究的普遍性。成像生物标记核心的总体目标是收集状态- 最先进的多模式脑成像数据，可最大限度地提供有关儿童和青少年结果的信息 伴有脑震荡。多模态成像将仅在基线时在开发队列中收集，并用于 开发和测试将在验证队列中检查的结果预测模型。神经影像学 协议旨在最大限度地提高数据质量并最大限度地减少受伤、年轻患者群体的不适 并基于现有的多站点工作（即 ABCD、英国生物银行）和 NINDS 成像建议。这 成像生物标志物核心具有以下具体目标： 具体目标 1：发现哪种多模式大脑 影像学测量最能预测脑震荡的临床结果（单独使用，以及与其他方法结合使用时） 生物标志物和临床测量）。具体目标 2：神经影像站点资格和培训 – 站点 使用试点数据和协调培训进行资格认证将为收集高质量数据做好准备。具体目标 3：收集高质量的多模式脑部 MRI – 将对开发中 6 个地点的 360 名参与者进行扫描 队列。具体目标 4：持续的数据质量控制——通过模型、志愿者、 数据审查将确保高质量的数据在不同站点之间具有最大程度的可比性。具体目标 5：分析 数据：将图像和导出的测量值传输至犹他大学数据协调中心 (U-DCC)，以 传播给研究界。我们将使用标准化的、经过验证的、公开可用的协议来 处理神经影像数据。区域脑容量、皮质几何形状、白质的测量 组织、功能连接、灌注和神经病理学（即微出血和白质） 高信号）将在组之间进行比较，并检查与结果测量的相关性。在 除了这些更简单的方法之外，我们将与 U-DCC 合作，采用机器学习方法 确定影像学、人口统计学和临床​​测量的哪种组合最能预测功能结果。