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衰老大脑队列(ABC)数据库:南卡罗来纳大学的多模态寿命数据库,用于研究健康衰老过程中大脑、认知、基因与行为之间的关系。

The Aging Brain Cohort (ABC) repository: The University of South Carolina's multimodal lifespan database for studying the relationship between the brain, cognition, genetics and behavior in healthy aging.

作者信息

Newman-Norlund Roger D, Newman-Norlund Sarah E, Sayers Sara, Nemati Samaneh, Riccardi Nicholas, Rorden Chris, Fridriksson Julius

机构信息

University of South Carolina, Department of Communication Sciences, Arnold School of Public Health, Columbia, SC, USA.

University of South Carolina, Department of Psychology, College of Arts and Sciences, Columbia, SC, USA.

出版信息

Neuroimage Rep. 2021 Apr 21;1(1):100008. doi: 10.1016/j.ynirp.2021.100008. eCollection 2021 Mar.

Abstract

This paper describes the public repository that houses multimodal data collected as part of Aging Brain Cohort study being conducted at the University of South Carolina (ABC@UofSC). Ultimately, the ABC@UofSC Repository will contain diverse data from cross sectional (N ​= ​800, age ​= ​20-80) and longitudinal (N ​= ​200, age ​= ​60-80, interesting interval ​= ​4 years) samples of healthy South Carolinians which include socio demographic data, raw and preprocessed functional (resting-state and task based fMRI, ASL) and structural (T1, T2 FLAIR, DWI, SWI) MRI data, raw and preprocessed resting-state EEG, comprehensive blood work, measures of physical and sensory function, genetic data derived from whole blood and buccal swabs, and results from a unique constellation of social, emotional, cognitive and language measures. Currently, data has been collected from 65 participants (ages 60-80) in the longitudinal arm of the project. The ABC@UofSC Repository is unique in its broad range of measures, choice of state-of-the art MRI sequences, inclusion of complex language discourse measures, and demographic diversity. Data from the ABC@UofSC Repository are easily accessible upon request (abc.sc.edu), and our publicly available statistics and visualization tools provide collaborating researchers with the ability to identify associations between brain structure and function in relation to genetic variation and behavioral measures across the adult life-span with unprecedented ease and rapidity.

摘要

本文介绍了一个公共存储库,该存储库收纳了作为南卡罗来纳大学开展的衰老大脑队列研究(ABC@UofSC)一部分所收集的多模态数据。最终,ABC@UofSC存储库将包含来自健康南卡罗来纳人的横断面(N = 800,年龄20 - 80岁)和纵向(N = 200,年龄60 - 80岁,观察期为4年)样本的各种数据,这些数据包括社会人口统计学数据、原始和预处理后的功能(静息态和基于任务的功能磁共振成像、动脉自旋标记)以及结构(T1、T2 FLAIR、弥散加权成像、磁敏感加权成像)磁共振成像数据、原始和预处理后的静息态脑电图、全面的血液检查、身体和感觉功能测量、从全血和颊拭子中获取的基因数据,以及一系列独特的社会、情感、认知和语言测量结果。目前,已从该项目纵向研究部分的65名参与者(年龄60 - 80岁)中收集了数据。ABC@UofSC存储库的独特之处在于其广泛的测量范围、对先进磁共振成像序列的选择、对复杂语言话语测量的纳入以及人口统计学多样性。ABC@UofSC存储库的数据可应要求轻松获取(abc.sc.edu),并且我们公开可用的统计和可视化工具使合作研究人员能够以前所未有的轻松和快速程度,识别与成年期整个生命跨度内的基因变异和行为测量相关的脑结构与功能之间的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/646a/12172904/0a2e0adc44c6/gr1.jpg

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