WFU_Pickatlas Interoperability

描述(由申请人提供)：WFU_Pickatlas软件工具箱(Pickatlas)是一个非常成功的用MatLab编写的包，用于基于ROI(感兴趣区域)的脑成像数据分析。它提供了一种强大的方法，可以使用基于脑叶解剖、皮质和皮质下解剖以及布罗德曼区域的自动生成掩码来探测几乎任何类型的大脑成像数据。Pickatlas是神经成像社区用于执行基于假设的自动ROI分析的第一个工具，而且它仍然是一个使用率很高的工具。它是为与SPM一起使用而设计的，并要求通过SPM处理统计分析。自从Pickatlas最初发布以来，在基于ROI的数据分析方法方面取得了快速进展，包括在其他流行的fMRI处理环境中(例如，FSL、AFNI等)。在此R03中，我们计划将Pickatlas包扩展到任何人都可以使用，而不考虑用于分析数据的原始软件，只要生成了T、F或Z图，并且提供了有关自由度和平滑度的信息。在具体目标2中，我们将增加Pickatlas用户经常要求的功能，包括增加两个非人类灵长类地图集和Nifti格式兼容性。在特定的目标3中，我们将生成完整的文档，包括更新的用户手册和开发人员手册。所有软件、源代码、手册和图谱模板将通过NITRC(神经成像信息工具和资源信息中心，www.nitrc.gov)免费分发。我们将与NITRC一起参加社区活动，包括会议和电话会议。公共卫生相关性：基于神经解剖学的假设驱动分析对于人类大脑疾病和疾病的脑成像研究以及旨在了解大脑疾病的动物研究至关重要。该项目将建立在Pickatlas软件的基础上，为人类成像研究和非人类灵长类动物的研究提供自动化的神经解剖学感兴趣区域分析。

DESCRIPTION (provided by applicant): The WFU_Pickatlas software toolbox (pickatlas) is a highly successful package written in Matlab for ROI-based (region of interest) analyses of brain imaging data. It provides a powerful method of probing virtually any type of brain imaging data using automatically generated masks based on lobar anatomy, cortical and subcortical anatomy, and Brodmann areas. The pickatlas was the first tool available to the neuroimaging community for performing automated hypothesis-based ROI analyses, and it remains a highly used tool. It was designed to be used with SPM, and requires the statistical analyses to be processed through SPM. Since the original release of the pickatlas, there have been rapid advances in ROI-based methods of analyzing data, including in other popular fMRI processing environments (e.g., FSL, AFNI, etc). In this R03, we plan to extend the pickatlas package to be usable by anyone regardless of the original software used to analyze the data, as long as a T, F, or Z-map is generated, and information on degrees of freedom and smoothness are available. In specific aim 2 we will add functionality often requested by pickatlas users including the addition of two non- human primate atlases and NifTi format compatibility. In specific aim 3 we will generate complete documentation, including an updated user manual, and a developer's manual. All software, source code, manuals, and atlas templates will be distributed freely through the NITRC (Neuroimaging Informatics Tools and Resources Clearinghouse, www.nitrc.gov). We will participate in community activities with the NITRC, including meetings and phone conferences. PUBLIC HEALTH RELEVANCE: Hypothesis driven analysis based on neuroanatomy is critical to brain imaging studies of human brain disorders and disease, as well as animal studies geared towards understanding brain disease. This project will build on the pickatlas software to provide automated neuroanatomical region of interest analyses for human imaging studies and studies of non-human primates.