Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China.
Faculty of Psychology, Southwest University, Chongqing 400715, China.
Sci Data. 2017 Feb 14;4:170017. doi: 10.1038/sdata.2017.17.
Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow age-span has been lacking for the assessment of test-retest reliability and reproducibility of brain-behavior correlations, as well as the development of novel causal insights into these correlational findings. Here we describe the SLIM dataset, which includes brain and behavioral data across a long-term retest-duration within three and a half years, mMRI scans provided a set of structural, diffusion and resting-state functional MRI images, along with rich samples of behavioral assessments addressed-demographic, cognitive and emotional information. Together with the Consortium for Reliability and Reproducibility (CoRR), the SLIM is expected to accelerate the reproducible sciences of the human brain by providing an open resource for brain-behavior discovery sciences with big-data approaches.
多模态磁共振成像（mmri）被广泛用于绘制人类大脑的结构和功能及其与行为的关联。然而，迄今为止，还缺乏一个具有长期纵向设计和狭窄年龄范围的大样本，以评估大脑-行为相关性的测试-重测信度和可重复性，以及对这些相关性发现的新的因果洞察。在这里，我们描述了 SLIM 数据集，它包括在三年内半的长期重测时间内的大脑和行为数据，mmri 扫描提供了一组结构、扩散和静息状态功能 MRI 图像，以及丰富的行为评估样本，涉及人口统计学、认知和情感信息。与可靠性和可重复性联合会（CoRR）一起，SLIM 有望通过为具有大数据方法的大脑-行为发现科学提供开放资源，加速人类大脑的可重复科学。
