Labeled Temporal Brain Networks

DOI

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.

Identifier
DOI https://doi.org/10.57745/HHNT10
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/HHNT10
Provenance
Creator ROSSI, Aurora ORCID logo
Publisher Recherche Data Gouv
Contributor ROSSI, Aurora; Université Côte d’Azur; INRIA at Centre at Université Côte d'Azur; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Funding Reference French government, National Research Agency (ANR) ANR-17-EURE-0004
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact ROSSI, Aurora (COATI, INRIA Centre at Université Côte d'Azur,Université Côte d’Azur, I3S, CNRS; France)
Representation
Resource Type Text; Dataset
Format text/plain; application/zip
Size 1498; 648811279
Version 1.0
Discipline Computer Science; Life Sciences; Medicine