Center for Brain Science, Harvard University , Cambridge, MA 02138, USA ; Department of Psychology, Harvard University , Cambridge, MA 02138, USA ; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School , Boston, MA 02114, USA ; Athinoula A. Martinos Center for Biomedical Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, MA 02129, USA.
Center for Brain Science, Harvard University , Cambridge, MA 02138, USA ; Department of Psychology, Harvard University , Cambridge, MA 02138, USA ; Athinoula A. Martinos Center for Biomedical Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, MA 02129, USA.
Sci Data. 2015 Jul 7;2:150031. doi: 10.1038/sdata.2015.31. eCollection 2015.
The goal of the Brain Genomics Superstruct Project (GSP) is to enable large-scale exploration of the links between brain function, behavior, and ultimately genetic variation. To provide the broader scientific community data to probe these associations, a repository of structural and functional magnetic resonance imaging (MRI) scans linked to genetic information was constructed from a sample of healthy individuals. The initial release, detailed in the present manuscript, encompasses quality screened cross-sectional data from 1,570 participants ages 18 to 35 years who were scanned with MRI and completed demographic and health questionnaires. Personality and cognitive measures were obtained on a subset of participants. Each dataset contains a T1-weighted structural MRI scan and either one (n=1,570) or two (n=1,139) resting state functional MRI scans. Test-retest reliability datasets are included from 69 participants scanned within six months of their initial visit. For the majority of participants self-report behavioral and cognitive measures are included (n=926 and n=892 respectively). Analyses of data quality, structure, function, personality, and cognition are presented to demonstrate the dataset's utility.
大脑基因组超结构项目 (GSP) 的目标是能够大规模探索大脑功能、行为,最终是遗传变异之间的联系。为了向更广泛的科学界提供数据来探究这些关联,从健康个体的样本中构建了一个包含结构和功能磁共振成像 (MRI) 扫描以及遗传信息的存储库。本手稿详细介绍了初始版本,其中包括来自 1570 名年龄在 18 至 35 岁之间的参与者的经过质量筛选的横断面数据,这些参与者接受了 MRI 扫描并完成了人口统计学和健康问卷。在一部分参与者中还获得了人格和认知测量数据。每个数据集都包含一个 T1 加权结构 MRI 扫描和一个(n=1570)或两个(n=1139)静息状态功能 MRI 扫描。包括了来自 69 名在初次就诊后六个月内接受扫描的参与者的测试-重测可靠性数据集。对于大多数参与者来说,自我报告的行为和认知测量数据是包括在内的(分别为 n=926 和 n=892)。本文呈现了对数据质量、结构、功能、人格和认知的分析,以展示该数据集的实用性。