Positron emission tomography images acquired with tracers 11C-DTBZ and 11C-RAC, and corresponding clinical data from healthy controls and patients with Parkinson’s disease

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. Specifically, the package contains: 1) 11C-DTBZ and 11C-RAC striatal PET 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. The imaging and clinical data include 10 healthy controls and 41 Parkinson's disease patients.

本数据集为公开可用的数据仓库，对应发表于《公共科学图书馆·综合（PLOS ONE，https://journals.plos.org/plosone/）》的论文《数据驱动的脑PET图像体素分析：PCA与LASSO方法在可视化及量化神经退行性模式中的应用》。该仓库包含健康对照者与帕金森病患者的影像学及临床数据，可用于复现该研究的核心结论。具体而言，本数据包包含以下内容：1） 针对每名研究对象的11C-DTBZ与11C-RAC纹状体PET图像，按症状偏侧分为受累较轻侧与受累较重侧，以.mat（Matlab）格式存储；2） 纹状体标注模板；3） 包含相关临床数据的Microsoft Excel表格。所有受试者的影像数据均已配准至该模板。本数据集涵盖的影像学与临床数据共包含10名健康对照者与41名帕金森病患者。