Human Connectome Project Young Adult fMRI time series, structural and functional connectomes (v1.0)

This data set contains structural and functional connectivity and region-average fMRI time series from 785 participants of the Human Connectome Project (HCP) Young Adult S900 data set. HCP builds network maps (connectomes) of the human brain and provides data for research into brain disorders, but also seeks to understand healthy brains and developmental processes. HCP uses non-invasive imaging technologies: resting-state fMRI, task-based fMRI, MEG, diffusion MRI and also performs behavioral and genetic testing. Data was acquired using customized sequences with high spatial and temporal resolution and state of the art distortion correction. HCP's preprocessing pipelines were used for preprocessing, involving distortion removal, surface mapping, registration, and alignment to standard space. Correction of EPI and eddy-current distortions uses phase-encoding direction- reversed images for each diffusion direction. Region-parcellation is based on HCP's Glasser/MMP1 atlas. Probabilistic tractography with MRtrix yielded structural connectomes. Disclaimer: when using this data set, please take the regularly updated quality control results from HCP into consideration. For an overview publication over the HCP please refer to [Van Essen et al. (2013)](https://doi.org/10.1016/j.neuroimage.2013.05.041). SC, fMRI and FC have been extracted from HCP's S900 release. Please find additional information on the data set under this URL: [https://www.humanconnectome.org/study/hcp-young-adult/document/900-subjects-data-release](https://www.humanconnectome.org/study/hcp-young-adult/document/900-subjects-data-release). For parcellating the brain into regions HCP's [Glasser et al.](https://doi.org/10.1038/nature18933) multimodal brain parcellation was used.

本数据集包含来自人类连接组计划（Human Connectome Project, HCP）青年成人S900数据集的785名参与者的结构连接、功能连接以及脑区平均功能磁共振成像（fMRI）时间序列。HCP构建人类大脑的网络图谱（连接组），其数据不仅可用于脑疾病相关研究，还可用于探索健康大脑与发育进程。HCP采用非侵入式成像技术：静息态fMRI、任务态fMRI、脑磁图（Magnetoencephalography, MEG）、弥散磁共振成像，同时开展行为学与遗传学检测。所有数据采用兼具高空间与时间分辨率的定制化扫描序列采集，并运用当前顶尖的畸变校正技术。本数据集采用HCP官方预处理流程完成数据处理，涵盖畸变去除、表面映射、空间配准以及标准化空间对齐。针对回波平面成像（Echo Planar Imaging, EPI）与涡流畸变的校正，会为每个弥散方向使用相位编码方向反转的图像。本数据集的脑区划分基于HCP的Glasser/MMP1图谱（Glasser/MMP1 atlas）。利用MRtrix进行概率纤维追踪，从而构建结构连接组。

免责声明：使用本数据集时，请参考HCP官方定期更新的质量控制结果。如需查阅HCP的综述文献，请参阅[Van Essen等人(2013)](https://doi.org/10.1016/j.neuroimage.2013.05.041)。本数据集的结构连接（structural connectome, SC）、fMRI数据与功能连接（functional connectivity, FC）均提取自HCP的S900数据发布版本。如需获取本数据集的更多相关信息，请访问以下链接：[https://www.humanconnectome.org/study/hcp-young-adult/document/900-subjects-data-release](https://www.humanconnectome.org/study/hcp-young-adult/document/900-subjects-data-release)。本数据集的脑区分割采用了HCP团队[Glasser等人](https://doi.org/10.1038/nature18933)提出的多模态脑分区方法。

搜集汇总

背景与挑战

背景概述

该数据集包含785名年轻成年人的结构和功能连接性数据及fMRI时间序列，用于研究人脑连接组和脑部疾病。数据通过高分辨率非侵入性成像技术获取，并经过严格的预处理和区域分割处理。