Labeled Temporal Brain Networks
收藏DataCite Commons2025-05-16 更新2024-07-13 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/HHNT10
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资源简介:
Labeled Temporal Brain Networks This dataset contains a collection of temporal brain networks of 100 subjects. Each subject has a label representing their biological sex ("M" for male and "F" for female) and age range (22-25, 26-30,31-35 and 36+). The networks are obtained from resting-state fMRI data from the Human Connectome Project (HCP) and are undirected and weighted. The number of nodes is fixed at 202, instead the edge weights change their values over time. Dataset structure The networks.zip file contains the networks as .txt files in the following format: the first line of each .txt file contains the number of nodes and the number of snapshots of the network divided by a space. The following lines contain the list of edges of the network in the form i,j,t,w, meaning that the edge between node i and node j at time t has weight w. The labels are contained in the file labels.txt, where there are three columns separated by a space, where the first column is the identifier of a subject, the second is the biological sex, and the last is an age range. Acknowledgments Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. The authors are grateful to the OPAL infrastructure from Université Côte d'Azur for providing resources and support. This work has been supported by the French government, through the UCA DS4H Investments in the Future project managed by the National Research Agency (ANR) with the reference number ANR-17-EURE-0004.
提供机构:
Recherche Data Gouv
创建时间:
2023-06-30
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含100名受试者的时态脑网络数据,每个受试者标注了性别和年龄范围,适用于脑连接研究。网络数据基于Human Connectome Project的静息态fMRI,具有202个固定节点和随时间变化的边权重,结构包括网络文件和标签文件。数据集主要用于医学和计算机科学领域,支持时间网络分析。
以上内容由遇见数据集搜集并总结生成



