Application of PCA and LASSO methods to visualize and quantify neurodegeneration

This is a public data repository for the PLOS ONE (https://journals.plos.org/plosone/) publication entitled "Data-driven, voxel-based analysis of brain PET images: application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration". The repository contains imaging and clinical data from healthy controls and Parkinson's disease patients that is necessary to replicate the findings of the study. <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=1600#pack_2042">Imaging and clinical data </a> : Initial release of the data that were used in the project.The package contains: 1) 11C-DTBZ and 11C-RAC images for each study subject, separated into better and worse sides, in a .mat (Matlab) format; 2) Labeled template of the striatum; 3) Table containing relevant clinical data (MS Excel spreadsheet).All subject images are co-registered to the template. </li> </ul>

本数据集库为PLOS ONE（https://journals.plos.org/plosone/）期刊上题为“基于数据驱动的、基于体素的大脑正电子发射断层扫描（PET）图像分析：PCA和LASSO方法在可视化及量化神经退行性模式中的应用”的出版物提供。该库包含了健康对照组和帕金森病患者的成像和临床数据，这些数据对于复现研究中的发现至关重要。项目包括以下软件/数据包：

<ul>
<li><a href="https://simtk.org/frs?group_id=1600#pack_2042">成像和临床数据</a>：项目中所使用数据的初始发布。该包包含：1）每个研究对象11C-DTBZ和11C-RAC图像，分为较好和较差的两侧，以.mat（Matlab）格式存储；2）纹状体标记模板；3）包含相关临床数据的表格（MS Excel电子表格）。所有研究对象图像均已与模板配准。</li>
</ul>