Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.
Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.
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DOI：
10.1038/sdata.2015.31
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发表时间：
2015
期刊：
影响因子：
9.8
通讯作者：
Buckner, Randy L.
中科院分区：
文献类型：
--
作者：
Holmes, Avram J.;Hollinshead, Marisa O.;O'Keefe, Timothy M.;Petrov, Victor I.;Fariello, Gabriele R.;Wald, Lawrence L.;Fischl, Bruce;Rosen, Bruce R.;Mair, Ross W.;Roffman, Joshua L.;Smoller, Jordan W.;Buckner, Randy L.
脑基因组学超级结构项目（GSP）的目标是大规模探索大脑功能，行为和最终遗传变异之间的联系。为了提供更广泛的科学界数据来探索这些关联，从健康个体的样本中构建了与遗传信息相关的结构和功能磁共振成像（MRI）扫描的存储库。在本手稿中详细描述的初始版本包括来自1，570名年龄在18至35岁之间的参与者的高质量筛选横断面数据，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调查。人格和认知的措施，获得了一个子集的参与者。每个数据集包含T1加权结构MRI扫描和一次（n= 1，570）或两次（n= 1，139）静息状态功能MRI扫描。重测信度数据集包括69名参与者在首次访问后6个月内进行扫描。对于大多数参与者，包括自我报告的行为和认知测量（分别为n=926和n=892）。数据质量，结构，功能，个性和认知的分析，以证明数据集的效用。
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.
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影响因子：
48
作者：
Craddock, R. Cameron;Jbabdi, Saad;Yan, Chao-Gan;Vogelstein, Joshua T.;Castellanos, F. Xavier;Di Martino, Adriana;Kelly, Clare;Heberlein, Keith;Colcombe, Stan;Milham, Michael P.
通讯作者：
Milham, Michael P.
DOI：
10.1016/s0065-2601(08)00404-8
发表时间：
2009-01-01
期刊：
ADVANCES IN EXPERIMENTAL SOCIAL PSYCHOLOGY, VOL 41
影响因子：
--
作者：
Barrett, Lisa Feldman;Bliss-Moreau, Eliza
通讯作者：
Bliss-Moreau, Eliza
影响因子：
3.5
作者：
Germine, Laura;Nakayama, Ken;Wilmer, Jeremy B.
通讯作者：
Wilmer, Jeremy B.
DOI：
10.1523/jneurosci.2531-12.2012
发表时间：
2012-12-12
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Holmes AJ;Lee PH;Hollinshead MO;Bakst L;Roffman JL;Smoller JW;Buckner RL
通讯作者：
Buckner RL
探索人类大脑功能的科学
DOI：
10.1073/pnas.0911855107
发表时间：
2010-03-09
影响因子：
11.1
作者：
Biswal, Bharat B.;Mennes, Maarten;Milham, Michael P.
通讯作者：
Milham, Michael P.