Algorithm and Data Analysis (ADA) Core

项目总结/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本和高级集中图像分析资源。这些资源包括为结构MRI（sMRI）、MR波谱（MRS）、功能MRI（fMRI）、 扩散MRI（dMRI）、脑磁图（MEG）、脑电图（EEG）和遗传学数据。的 ADA核心将在开发和提供解决基本图像所需的软件方面发挥主导作用 分析问题时出现的MR和MEG/EEG数据。这将通过提供 一套用于分析成像和遗传数据的核心工具和方法。核心资源包括 专业知识和工具，用于分析所有第一级成像数据（自动管道预处理），以及基于网络的功能和结构连接性测量的高级算法，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，以实现基于网络的分析，多模态数据的数据融合， 预测/分类方法。重要的是，COBRE和ADA核心的一个关键方面是 将多模式数据相结合，使调查人员能够通过联合分析多个 数据融合（Data Fusion）。另一个重点领域将是开发逼真的模拟方法，以实现算法的比较，参数的优化，并提供有关如何 新的算法有效。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，以及对特定项目的指导。这将确保调查人员和潜在的 核心用户被告知各种算法，理解如何在给定特定假设的情况下做出分析选择，并且具有如何自己实现这些算法的基本想法。助理检察官 核心是卡尔霍恩博士，他在开发工具和方法方面拥有20多年的经验， 单峰和多峰成像和遗传学数据。Cheryl Aine博士在以下方面拥有丰富的经验： 单模态和多模态成像与MEG/EEG。 1

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