Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0
Szalkai, Balázs and Kerepesi, Csaba and Varga, Bálint and Grolmusz, Vince (2017) Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0. COGNITIVE NEURODYNAMICS, 11 (1). pp. 113-116. ISSN 1871-4080 10.1007/s11571-016-9407-z
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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 presented.), but it can also be modified freely at the web server. The webserver is available at http://connectome.pitgroup.org. © 2016 Springer Science+Business Media Dordrecht
Item Type: | Article |
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Uncontrolled Keywords: | major clinical study; human; Consensus; Reference connectome; Consensus connectome; connectome; Common edges |
Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
Divisions: | Informatics Laboratory |
SWORD Depositor: | MTMT Injector |
Depositing User: | MTMT Injector |
Date Deposited: | 24 May 2017 06:14 |
Last Modified: | 24 May 2017 06:14 |
URI: | https://eprints.sztaki.hu/id/eprint/9123 |
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