Dataset of brain functional connectome and its maturation in adolescents

We provided the dataset of brain connectome matrices and their similarities measures to self and others longitudinally. The dataset can be used to replicate the results of the manuscript titled “A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence”. The functional connectome (whole-brain and 13 networks) matrices were calculated from the resting-state functional MRIs (rs-fMRIs). We collected rs-fMRI and Kessler's psychological distress scale (K10) in 77 adolescents longitudinally up to 9 times from 12 years of age every four months. After removal of data with excessive motion, 262 functional connectome matrices were provided with this paper. The 300 regions of interest (ROIs) were defined using the Greene lab brain atlas. The functional connectome matrices were calculated as correlations between time series from any pair of ROIs extracted from pre-processed fMRIs. This dataset could be potentially used to
1. understand developmental changes in the functional brain connectivity,
2. as a normal control database of functional connectome matrices,
3. develop and validate connectome and network-related analysing methods.

本数据集包含脑连接组矩阵及其与他人纵向相似度度量。该数据集可用于复现题为《青少年功能性连接组独特性与心理困扰关联的纵向研究》的论文结果。功能连接组（全脑和13个网络）矩阵是由静息态功能性核磁共振成像（rs-fMRI）计算得出。我们对77名青少年进行了纵向收集，包括从12岁起每四个月一次，连续9次的数据，直至他们16岁。在剔除运动过大的数据后，本文提供了262个功能连接组矩阵。兴趣区域（ROI）的定义采用Greene实验室的大脑图谱，共定义了300个ROI。功能连接组矩阵的计算是通过提取预处理的fMRI中的任何一对ROI的时间序列之间的相关性来实现的。该数据集可用于以下方面：1. 理解功能性脑连接组在发育过程中的变化；2. 作为功能连接组矩阵的正常对照数据库；3. 开发和验证连接组及网络相关分析方法。