Statistics Core

项目摘要--统计核心 统计核心(SC)的目的是支持和提高偶发白蛋白的临床意义 通过发展创新技术，在有认知主诉的不同人群中(确实)MRI上的物质损害 用于数据收集和管理的工具、协调临床站点间的数据、开发深度学习和 脑白质损伤的生物力学神经成像量化，进行统计分析 通过研究门户与内部和外部调查人员共享数据。执委会将会 实现这一目标的5个具体目标：1)开发集成数据的数据管理系统 跨核心提供一个报告系统，用于跟踪研究进展并描述 参与者，并支持数据共享和数据询问的资源门户；2)协调 神经成像数据，以实现跨站点的数据池；3)开发更好地捕获光谱的方法 白质损伤及其生物力学后果；4)检验总体部分提出的关键假设 应用程序；以及5)开发和验证风险分数。SC汇聚了一支合格的团队， 在数据管理、磁共振成像协调、制定成像指标和数字模型方面的专业知识 生物系统，与认知衰退和偶发痴呆症相关的风险因素分析，以及 开发风险分值以实现这些目标。创新包括一个能够动态访问的数据库 数据库的报告和查询、核磁共振成像协调的前沿方法、深度学习和 更好地表征脑白质损伤的多变量方法，以及多模式风险评分的发展。 SC将整合来自储存库核心的数据，为招聘和 保留核心，并在行政核心内的委员会任职。核心小组的工作将支持 使用精确医学预测进行性西医损伤对认知的影响的总体目标 在大量和多样化的临床人群中采用这种方法。

PROJECT SUMMARY – Statistics Core The purpose of the Statistics Core (SC) is to support and advance the Clinical significance of INciDEntal white matter lEsions on MRI in a Diverse population with cognitive complaints (INDEED) by developing innovative tools for data collection and management, harmonizing data across clinical sites, developing deep learning and biomechanical neuroimaging quantification of white matter injury, performing statistical analysis for investigators, and sharing data through a research portal with internal and external investigators. The SC will undertake 5 specific aims to fulfill this purpose: 1) develop a data management system that will integrate data across the cores, provide a reporting system for tracking of study progress and describing characteristics of participants, and support a resource portal for data sharing and data interrogation; 2) provide harmonization of neuroimaging data to enable pooling of data across sites; 3) develop methods to better capture the spectrum of white matter injury and its biomechanical consequences; 4) test key hypotheses posed in the Overall section of the application; and 5) develop and validate risk scores. The SC brings together a qualified team with expertise in data management, MRI harmonization, development of imaging metrics and numerical models of biological systems, analysis of risk factors associated with cognitive decline and incident dementia, and development of risk scores to accomplish these aims. Innovations include a database capable of dynamic reporting and querying of the database, cutting-edge approaches to MRI harmonization, deep learning and multivariate approaches to better characterize white matter injury, and development of multi-modal risk scores. The SC will integrate data from the Repository Core, provide tracking information for the Recruitment and Retention Core, and serve on committees within the Administrative Core. The work of the Core will support the overall goal of predicting the impact of progressive WM injury on cognition using a precision medicine approach in a large and diverse clinical population.