背景:近年来,在观察性研究中使用脑磁共振成像(MRI)呈指数增长,提供研究样本的细节至关重要,图像处理,并提取成像标记以验证和复制研究结果。本文回顾了现已完成的BiDirect队列研究的脑MRI数据集,作为前两个审查时间点后发布的可行性报告的更新和扩展。
方法:我们报告了参与者的样本和流程,这些参与者跨越四个研究阶段和12年。此外,我们提供有关获取协议的详细信息;处理管道,包括标准化和质量控制方法;以及使用的分析工具和可用的标记。
结果:所有数据均从2010年至2021年在明斯特的单个站点收集,德国,从3个不同队列中的2,257名基线参与者开始:基于人群的队列(n=911基线,672与MRI数据),诊断为抑郁症的患者(n=999,736,MRI数据),和明显心血管疾病的患者(n=347,MRI数据为52)。在学习期间,共进行了4,315次MRI检查,超过535名参与者在所有4个时间点接受了MRI检查.
结论:将图像转换为大脑成像数据结构(组织和描述神经成像数据的标准),并使用常用工具进行分析,例如CAT12,FSL,Freesurfer,和BIANCA提取成像生物标志物。BiDirect研究包括具有结构和功能MRI数据的彻底表型研究群体。
结论:BiDirect研究包括一个基于人群的样本和两个基于患者的样本,其MRI数据可以帮助回答许多神经精神病学和心血管研究问题。
结论:•BiDirect研究包括具有MRI数据的以患者和人群为基础的队列。•将数据标准化至脑成像数据结构,并用常用软件处理。•MRI数据和标记可根据要求提供。
BACKGROUND: The use of cerebral magnetic resonance imaging (MRI) in observational studies has increased exponentially in recent years, making it critical to provide details about the
study sample, image processing, and extracted imaging markers to validate and replicate
study results. This article reviews the cerebral MRI dataset from the now-completed BiDirect cohort
study, as an update and extension of the feasibility report published after the first two examination time points.
METHODS: We report the sample and flow of participants spanning four
study sessions and twelve years. In addition, we provide details on the acquisition protocol; the processing pipelines, including standardization and quality control methods; and the analytical tools used and markers available.
RESULTS: All data were collected from 2010 to 2021 at a single site in Münster, Germany, starting with a population of 2,257 participants at baseline in 3 different cohorts: a population-based cohort (n = 911 at baseline, 672 with MRI data), patients diagnosed with depression (n = 999, 736 with MRI data), and patients with manifest cardiovascular disease (n = 347, 52 with MRI data). During the study period, a total of 4,315 MRI sessions were performed, and over 535 participants underwent MRI at all 4 time points.
CONCLUSIONS: Images were converted to Brain Imaging Data Structure (a standard for organizing and describing neuroimaging data) and analyzed using common tools, such as CAT12, FSL, Freesurfer, and BIANCA to extract imaging biomarkers. The BiDirect
study comprises a thoroughly phenotyped
study population with structural and functional MRI data.
CONCLUSIONS: The BiDirect Study includes a population-based sample and two patient-based samples whose MRI data can help answer numerous neuropsychiatric and cardiovascular research questions.
CONCLUSIONS: • The BiDirect study included characterized patient- and population-based cohorts with MRI data. • Data were standardized to Brain Imaging Data Structure and processed with commonly available software. • MRI data and markers are available upon request.