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. 2017 Feb;11(1):113-116.
doi: 10.1007/s11571-016-9407-z. Epub 2016 Sep 15.

Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0

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Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0

Balázs Szalkai et al. Cogn Neurodyn. 2017 Feb.

Abstract

Connections of the living human brain, on a macroscopic scale, can be mapped by a diffusion MR imaging based workflow. Since the same anatomic regions can be corresponded between distinct brains, one can compare the presence or the absence of the edges, connecting the very same two anatomic regions, among multiple cortices. Previously, we have constructed the consensus braingraphs on 1015 vertices first in five, then in 96 subjects in the Budapest Reference Connectome Server v1.0 and v2.0, respectively. Here we report the construction of the version 3.0 of the server, generating the common edges of the connectomes of variously parameterizable subsets of the 1015-vertex connectomes of 477 subjects of the Human Connectome Project's 500-subject release. The consensus connectomes are downloadable in CSV and GraphML formats, and they are also visualized on the server's page. The consensus connectomes of the server can be considered as the "average, healthy" human connectome since all of their connections are present in at least k subjects, where the default value of [Formula: see text], but it can also be modified freely at the web server. The webserver is available at http://connectome.pitgroup.org.

Keywords: Common edges; Connectome; Consensus connectome; Reference connectome.

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Figures

Fig. 1
Fig. 1
An example for the common edges in graphs A and B. In the graphs A and B the black edges are common; the yellow edges are present only in graph A, the blue ones only in graph B. Graph C contains the common (or consensus) edges of graphs A and B. (Color figure online)
Fig. 2
Fig. 2
The screenshot of the Budapest Reference Connectome Server v3.0

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