Algorithm and Data Analysis (ADA) Core

算法和数据分析 (ADA) 核心

• 批准号: 10324140
• 负责人: Andrew Robert Mayer
• 金额: $ 35.48万
• 依托单位: LOVELACE BIOMEDICAL RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-18 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10324140
• 关键词: Algorithm; Data; Analysis; ADA; Core

Project Summary/Abstract The algorithm and data analysis (ADA) core of this phase III COBRE will provide basic and advanced centralized image analysis resources for processing multimodal imaging data. These resources include tools designed for basic and advanced analysis of structural MRI (sMRI), MR spectroscopy (MRS), function MRI (fMRI), diffusion MRI (dMRI), magnetoencephalography (MEG), electroencephalography (EEG), and genetics data. The ADA Core will play a leading role in developing and providing software that is needed to solve basic image analysis problems that arise when working with MR and MEG/EEG data. This will be accomplished by providing a core set of tools and approaches for analysis of imaging and genetic data. The core set of resources includes expertise and tools for analyzing all first level-imaging data (automated pipeline preprocessing) as well as advanced algorithms for network-based functional and structural connectivity measures to address in a comprehensive way the scientific questions being asked. We will work with the tools developed locally as well as widely- used tools developed by other groups to enable network-based analysis, data-fusion of multimodal data, and prediction/classification approaches. Importantly, a key aspect of this COBRE and the ADA core is focused on combining multimodal data enabling investigators to leverage additional information via joint analysis of multiple modalities (data fusion). An additional area of emphasis will be on the development of realistic simulation approaches, to enable comparisons of algorithms, optimization of parameters, and to provide intuition about how new algorithms work. Finally, the ADA core will also provide essential training about data analysis of brain imaging and genetic data, as well as mentoring for specific projects. This will ensure investigators and potential core users are informed about the various algorithms, understand how to make analysis choices given a particular hypothesis, and have a basic idea of how to implement such algorithms themselves. The director of the ADA Core is Dr. Calhoun, who has over 20 years of experience in developing tools and approaches for working with unimodal and multimodal imaging and genetics data. Co-director Dr. Cheryl Aine has extensive experience in unimodal and multimodal imaging with MEG/EEG. 1

项目摘要/摘要 该阶段III COBRE的算法和数据分析（ADA）核心将为处理多模式成像数据提供基本和高级的集中图像分析资源。这些资源包括设计用于结构MRI（SMRI），MR光谱法（MRS），功能MRI（fMRI）的基本和高级分析的工具， 扩散MRI（DMRI），磁脑电图（MEG），脑电图（EEG）和遗传学数据。这 ADA Core将在开发和提供解决基本图像所需的软件中发挥领导作用 与MR和MEG/EEG数据一起工作时会出现的分析问题。这将通过提供 一组核心工具和方法，用于分析成像和遗传数据。核心资源集包括 分析所有第一级成像数据（自动化管道预处理）的专业知识和工具，以及基于网络的功能和结构连接度量的高级算法，以全面的方式解决科学问题。我们将使用本地开发的工具以及广泛的工具合作 - 其他组开发的工具来启用基于网络的分析，多模式数据的数据融合以及 预测/分类方法。重要的是，该毛病和ADA核心的关键方面侧重于 结合多模式数据，使研究人员可以通过多个的联合分析来利用其他信息 模式（数据融合）。重点的另一个领域将在于开发现实的模拟方法，以进行算法，优化参数的比较，并提供有关如何如何提供有关如何的直觉 新算法起作用。最后，ADA核心还将提供有关大脑成像和遗传数据的数据分析以及针对特定项目的指导的基本培训。这将确保调查人员和潜力 核心用户被告知各种算法，了解如何给定特定假设做出分析选择，并对如何实施此类算法本身有一个基本概念。 ADA主任 Core是Calhoun博士，他在开发与之合作的工具和方法方面拥有20多年的经验 单峰和多模式成像和遗传学数据。联合导演Cheryl Aine博士在 具有MEG/EEG的单峰和多模式成像。 1