Biostatistics, Computational & Data Management (BCDM) Core

这个修订后的康特中心的项目整合了人类和啮齿动物模型研究，以探索 分散和/或不可预测的早年经历， 个人情绪和认知障碍。该中心的具体目标是描述和量化 分散和不可预测的跨物种母性信号，并检查这些信号的影响， 结果轨迹;使用成像和分子分析来探索碎片化和 不可预测的母性信号会增加情感和认知问题的脆弱性;并产生一个 整合和预测模型的贡献，支离破碎的产妇信号，情绪和 青少年时期的认知脆弱性在审查员建设性建议的指导下，我们提供 在这个修改后的应用程序中，有更多关于BCDM核心的具体和详细信息。 生物统计、计算和数据管理核心的主要目标是： 通过开发新的和生物相关的碎片化措施， 不可预测性;（B）为各种中心项目和核心提供数据管理支持， （c）通过与单个项目的合作，增强中心的影响力， 核心来支持他们的分析，重要的是，协调跨项目的结果整合， 开发临床相关的预测模型。实质上，核心将与中心调查人员合作， 探索各种表征早期生命感觉信号的方法，将这些信号与 行为、功能和成像结果，探索人类队列的纵向结果， 协调数据管理和数据集成（与成像核心一起工作）。

The projects of this revised Conte Center integrate human and rodent-model studies to explore the role of fragmented and/or unpredictable early-life experiences in increasing the vulnerability of developing individuals to emotional and cognitive disorders. Specific aims for the Center characterize and quantify fragmented and unpredictable maternal signals across species and examine the impact of such signals on outcome trajectories; use imaging and molecular analyses to explore mechanisms by which fragmented and unpredictable maternal signals promote vulnerabilities to emotional and cognitive problems; and create an integrated and predictive model for the contribution of fragmented maternal signals to emotional and cognitive vulnerabilities during adolescence. Guided by the Reviewers' constructive suggestions, we provide in this revised application more specific and detailed information about the BCDM Core. The primary goals of the Biostatistics, Computation and Data Management Core are: (a) enhance the innovation of the Center by developing novel and biologically relevant measures of fragmentation and unpredictability; (b) provide data management support to the various Center projects and cores that enable coherent analyses; and (c) enhance the impact of the Center by collaborating with individual projects and cores to support their analyses and, importantly, coordinate the integration of results across projects to develop clinically relevant predictive models. In essence, the Core will work with Center investigators to explore a variety of measures for characterizing early-life sensory signals, correlate those signals with behavioral, functional, and imaging outcomes, explore the longitudinal consequences in a human cohort, and coordinate data management and data integration (working with the Imaging Core).