Here you can download the connectomes generated by the PIT Bioinformatics Group.
A, OASIS 3 connectomes:
696 subjects, one dataset from 482 subjects, 2 datasets from 156 subjects, 3 datasets from 52 subjects, 4 datasets from five subjects, 5 datasets from 1 subject.
From each dataset you can download 5 graphs in different resolutions. Below the graphs are grouped by their resolutions.
Scale 1 – 124 nodes, 372 MB, 7z compressed,
Scale 2 – 170 nodes, 624 MB, 7z compressed,
Scale 3 – 272 nodes, 1,2 GB, 7z compressed,
Scale 4 – 502 nodes, 2,5 GB, 7z compressed,
Scale 5 – 1058 nodes, 5,5 GB, 7z compressed.
B: HCP connectomes
The connectomes were generated from MRI scans obtained from the Human Connectome Project. To download the connectomes, you have to agree to the terms and conditions of Human Connectome Project.
Undirected and directed versions of the brain graphs are available. The direction of these graphs was defined using edge frequency analysis (see the publications). The files below are undirected, except when the “Directed” word appears.
You can also download augmented sets of connectomes for training artificial intelligence tools. We use Newtonian augmentation: from the connectomes of 1053 subjects we prepared 120 x 1053 = 126,360 connectomes, each in 5 resolutions (i.e., 631,800 connectomes in total). For the details we refer to the article:
László Keresztes, Evelin Szögi, Bálint Varga, Vince Grolmusz: Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org, Scientific Reports, 12:3102 (2022).
Beware: (1) each compressed augmented archive contains 126,360 files: the un-compression takes some time. (2) The augmented graph-sets are not prepared from 126,360 brains; just from 1053 brains: the augmented data should be used for AI applications (training and testing) and not for straightforward data analysis!
Those who use these connectomes in their research publication are requested to cite the following articles:
- Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz: The braingraph.org Database of High Resolution Structural Connectomes and the Brain Graph Tools, Cognitive Neurodynamics Vol. 11 No. 5, pp. 483-486 (2017) http://dx.doi.org/10.1007/s11571-017-9445-1 .
For the directed connectomes:
- Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz: How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain, PLoS One 11(6): e0158680. http://dx.doi.org/10.1371/journal.pone.0158680, June 30, 2016.
- Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics, PLoS One, Vol. 14 No. 4,: e0215473 (2019) https://doi.org/10.1371/journal.pone.0215473