Fragmented early-life experiences, aberrant circuit maturation, emotional vulnerabilities

拟议的康特中心的项目整合了人类和实验动物研究， 总体假设认为，早期生活的支离破碎和不可预测性， 环境信号（FRAG）有助于青少年的脆弱性和随后的精神疾病 通过异常的发展机制和情感脑回路的成熟。的 生物统计、计算和数据管理（BCDM）核心与项目1 - 4和 Imaging Core计划和支持其统计分析，并提供数据管理支持。 通过这些努力，核心在确保中心的严谨性和可重复性方面发挥着核心作用。 research. BCDM核心还通过以下方式在中心的创新中发挥不可或缺的作用： 开发统计和计算模型，使用一系列认知，情感和 成像变量来预测发展的脆弱性和精神疾病的风险，并通过 开发和测试评估支离破碎和不可预测的早期生命信号的措施。的 BCDM核心是协调和整合跨项目和核心成果的关键。 在原始续展申请审查人的建设性建议的指导下，核心将： 1)为FRAG与年龄和性别关系的研究提供计算和生物统计支持， 特定的脆弱性和精神疾病。在其他风险因素的背景下探讨FRAG的作用 并优化分析复杂数据集的方法，包括认知、情感和成像数据。 2）。使用来自多个人类队列的数据来测试可以轻松、可靠和准确评估 母亲和环境的信号支离破碎且不可预测。Core还将利用新数据 来源，（例如，基于智能手机的生态情绪评估），以开发新的，可靠的措施， 加强中心的影响力。 3）。开发统计/计算模型，将早期生活经验的测量与认知， 情绪和影像数据来预测快感缺失和精神疾病的风险。 4）。开发中心信息资源，为所有项目和核心提供数据管理支持， 促进项目间的整合。这包括适应人类的人口统计学，认知，情感， 以及成像数据和实验动物数据。

The projects of the proposed Conte Center integrate human and experimental animal studies to investigate the overarching hypothesis that fragmentation and unpredictability of early life maternal and environmental signals (FRAG) contribute to adolescent vulnerabilities and subsequent mental illness via mechanisms involving aberrant development and maturation of emotional brain circuits. The Biostatistics, Computation and Data Management (BCDM) Core works closely with Projects 1-4 and the Imaging Core to plan and support their statistical analyses and to provide data management support. Through these efforts the Core plays a central role in ensuring the rigor and reproducibility of Center research. The BCDM Core also plays an integral role in the innovation of the Center through the development of statistical and computational models that use a range of cognitive, emotional and imaging variables to predict developmental vulnerabilities and risk for mental illness and through the development and testing of measures that assess fragmented and unpredictable early life signals. The BCDM Core is pivotal to the coordination and integration of results across projects and cores. Guided by constructive suggestions of the Reviewers of the original renewal submission, the core will:: 1) Provide computational and biostatistical support for studies of the relationship of FRAG with age- and sex- specific vulnerabilities and mental illness. Address the contributions of FRAG in the context of other risk factors and optimize approaches to the analysis of complex datasets including cognitive, emotional, and imaging data. 2). Use data from multiple human cohorts to test measures that easily, reliably, and accurately assess fragmented and unpredictable maternal and environmental signals. The Core will also capitalize on new data sources, (e.g., smartphone-based ecological mood assessments) to evelop new, reliable measures that enhance the Center's impact. 3). Develop statistical / computational models that integrate measures of early-life experiences with cognitive, emotional and imaging data to predict anhedonia and risk for mental illness. 4). Develop a Center information resource, provide data management support to all projects and cores, and facilitate integration across projects. This includes accommodating human demographic, cognitive, emotional, and imaging data and experimental animal data.