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

项目概要/摘要 第三阶段COBRE的算法和数据分析（ADA）核心将为处理多模态成像数据提供基础和先进的集中式图像分析资源。这些资源包括为结构 MRI (sMRI)、磁共振波谱 (MRS)、功能 MRI (fMRI) 的基本和高级分析而设计的工具， 扩散 MRI (dMRI)、脑磁图 (MEG)、脑电图 (EEG) 和遗传学数据。这 ADA Core将在开发和提供解决基础图像所需的软件方面发挥主导作用 分析处理 MR 和 MEG/EEG 数据时出现的问题。这将通过提供来完成 用于分析成像和遗传数据的一套核心工具和方法。核心资源集包括 用于分析所有一级成像数据（自动管道预处理）的专业知识和工具，以及用于基于网络的功能和结构连接测量的先进算法，以全面解决所提出的科学问题。我们将使用本地和广泛开发的工具 使用其他小组开发的工具来实现基于网络的分析、多模式数据的数据融合，以及 预测/分类方法。重要的是，COBRE 和 ADA 核心的一个关键方面集中于 结合多模式数据，使研究人员能够通过对多个数据的联合分析来利用更多信息 模式（数据融合）。另一个重点领域是开发真实的模拟方法，以实现算法的比较、参数的优化，并提供关于如何实现的直觉。 新算法起作用了。最后，ADA 核心还将提供有关脑成像和遗传数据数据分析的基本培训，以及特定项目的指导。这将确保调查人员和潜在的 核心用户了解各种算法，了解如何在给定特定假设的情况下做出分析选择，并了解如何自行实现此类算法。 ADA 主任 核心是 Calhoun 博士，他在开发工具和方法方面拥有 20 多年的经验 单模态和多模态成像和遗传学数据。联合主任 Cheryl Aine 博士在以下方面拥有丰富的经验： MEG/EEG 的单模态和多模态成像。 1