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The braingraph.org database of high resolution structural connectomes and the brain graph tools

Cognitive Neurodynamics volume 11, pages 483–486 (2017)Cite this article

Abstract

Based on the data of the NIH-funded Human Connectome Project, we have computed structural connectomes of 426 human subjects in five different resolutions of 83, 129, 234, 463 and 1015 nodes and several edge weights. The graphs are given in anatomically annotated GraphML format that facilitates better further processing and visualization. For 96 subjects, the anatomically classified sub-graphs can also be accessed, formed from the vertices corresponding to distinct lobes or even smaller regions of interests of the brain. For example, one can easily download and study the connectomes, restricted to the frontal lobes or just to the left precuneus of 96 subjects using the data. Partially directed connectomes of 423 subjects are also available for download. We also present a GitHub-deposited set of tools, called the Brain Graph Tools, for several processing tasks of the connectomes on the site http://braingraph.org.

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Acknowledgements

Data were provided in part 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. CK was supported by Momentum Grant of the Hungarian Academy of Sciences (LP2012-19/2012).

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Affiliations

  1. PIT Bioinformatics Group, Eötvös University, Budapest, 1117, Hungary

    Csaba Kerepesi, Balázs Szalkai, Bálint Varga & Vince Grolmusz

  2. Uratim Ltd., Budapest, 1118, Hungary

    Vince Grolmusz

  3. Institute for Computer Science and Control, Hungarian Academy of Sciences, Budapest, 1111, Hungary

    Csaba Kerepesi

Authors
  1. Csaba Kerepesi
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  2. Balázs Szalkai
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  3. Bálint Varga
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  4. Vince Grolmusz
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Correspondence to Vince Grolmusz.

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The authors declare no conflict of interest.

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Csaba Kerepesi, Balázs Szalkai, and Bálint Varga: joint first authors.

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Kerepesi, C., Szalkai, B., Varga, B. et al. The braingraph.org database of high resolution structural connectomes and the brain graph tools. Cogn Neurodyn 11, 483–486 (2017). https://doi.org/10.1007/s11571-017-9445-1

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  • DOI: https://doi.org/10.1007/s11571-017-9445-1

Keywords

  • Connectome
  • Brain connections
  • Braingraph
  • Human Connectome Project