The Midnight Scan Club (MSC) dataset

This dataset contains the Midnight Scanning Club (MSC) data, a dataset focused on the precise characterization of ten individual subjects via collection of large amounts of per-individual data. Each subject underwent twelve separate two-hour scanning sessions. In the first two sessions we collected four T1 images, four T2 images, four MR angiograms, and eight MR venograms. In the last ten sessions we collected five hours of resting-state fMRI data and over five and a half hours of task fMRI data across three different tasks. Participants also underwent extensive neuropsychological testing. These raw data are all provided here.

In addition to the raw data, we also provide several derivatives processed using both a volumetric (Talaraich-space) and a surface-based (fs_LR_32k space) pipeline. Volumetric derivatives include cross-session-average T1 and T2 images linearly registered to atlas (Talaraich) space; as well as resting-state data from each scanning session that has been fully preprocessed, motion-censored, and confound-regressed. Surface pipeline derivatives include cortical surfaces which were segmented from the T1 scans using freesurfer, hand-edited, and registered to fs_LR atlas space; resting-state data from each scanning session that has been fully preprocessed, motion-censored, and confound-regressed in CIFTI format (cortical: fs_LR32k; subcortical: Talaraich); cortical parcellations estimated from the resting-state data; vertex-wise whole-brain networks estimated from the resting-state data; task timecourses in CIFTI (cortical: fs_LR32k; subcortical: Talaraich) space; a selection of task contrast images in CIFTI (cortical: fs_LR32k; subcortical: Talaraich) space; myelin maps estimated from the T1- and T2-weighted anatomical scans; and matrices describing the physical geodesic/euclidean distances between every two points in the cifti image.

Details of this dataset are more fully described in Gordon EM, Laumann TO, Gilmore AW, Newbold DJ, Greene DJ, Berg JJ, Ortega M, Hoyt-Drazen C, Gratton C, Sun H, et al. (2017). Precision Functional Mapping of Individual Human Brains. Neuron 95, 791–807. This manuscript should be cited when publishing work using this data.

本数据集包含午夜扫描俱乐部（Midnight Scanning Club, MSC）数据，该数据集旨在通过采集大量个体专属扫描数据，精准刻画10名独立受试者的脑部特征。每名受试者共完成12次独立的两小时扫描采集时段。在前两次扫描中，我们采集了4张T1加权图像、4张T2加权图像、4张磁共振血管造影（MR angiograms）图像以及8张磁共振静脉造影（MR venograms）图像。在后十次扫描中，我们采集了总时长5小时的静息态功能磁共振成像（resting-state fMRI）数据，以及覆盖3种不同任务范式、总时长超5.5小时的任务态功能磁共振成像（task fMRI）数据。受试者同时接受了全面的神经心理学测试。所有原始数据均已在此提供。

除原始数据外，我们还提供了经体素空间（volumetric, Talaraich空间）和基于表面的（surface-based, fs_LR_32k空间）两种预处理流程生成的衍生数据。体素空间衍生数据包括：配准至Talaraich标准脑空间的跨扫描平均T1、T2加权图像；以及经全预处理、运动校正与混淆回归处理后的各次扫描静息态功能磁共振成像数据。基于表面的预处理流程衍生数据包括：通过FreeSurfer从T1加权图像中分割得到并经手动编辑、配准至fs_LR标准脑空间的大脑皮层表面；经全预处理、运动校正与混淆回归处理后以CIFTI格式存储的各次扫描静息态功能磁共振成像数据（皮层数据采用fs_LR32k空间，皮层下数据采用Talaraich空间）；基于静息态数据估计得到的皮层分区结果；基于静息态数据估计得到的全脑逐顶点功能连接网络；以CIFTI格式存储的任务时间序列数据（皮层数据采用fs_LR32k空间，皮层下数据采用Talaraich空间）；以CIFTI格式存储的部分任务对比图像（皮层数据采用fs_LR32k空间，皮层下数据采用Talaraich空间）；基于T1与T2加权解剖扫描估计得到的髓鞘密度图；以及描述CIFTI图像中任意两点间物理测地线/欧氏距离的矩阵。

本数据集的详细信息已在Gordon EM、Laumann TO、Gilmore AW、Newbold DJ、Greene DJ、Berg JJ、Ortega M、Hoyt-Drazen C、Gratton C、Sun H等学者2017年发表于《Neuron》第95卷第791-807页的论文《Precision Functional Mapping of Individual Human Brains》中完整阐述。使用本数据集开展研究工作时，请引用该文献。

搜集汇总

背景与挑战

背景概述

The Midnight Scan Club (MSC) dataset是一个包含十名受试者大量MRI扫描数据的集合，旨在通过高密度个体数据精确描述人脑功能。数据集包括原始扫描数据和经过预处理的衍生数据，支持多种分析需求。