Literature DB >> 25862487

The Budapest Reference Connectome Server v2.0.

Balázs Szalkai1, Csaba Kerepesi2, Bálint Varga3, Vince Grolmusz4.   

Abstract

The connectomes of different human brains are pairwise distinct: we cannot talk about an abstract "graph of the brain". Two typical connectomes, however, have quite a few common graph edges that may describe the same connections between the same cortical areas. The Budapest Reference Connectome Server v2.0 generates the common edges of the connectomes of 96 distinct cortexes, each with 1015 vertices, computed from 96 MRI data sets of the Human Connectome Project. The user may set numerous parameters for the identification and filtering of common edges, and the graphs are downloadable in both csv and GraphML formats; both formats carry the anatomical annotations of the vertices, generated by the FreeSurfer program. The resulting consensus graph is also automatically visualized in a 3D rotating brain model on the website. The consensus graphs, generated with various parameter settings, can be used as reference connectomes based on different, independent MRI images, therefore they may serve as reduced-error, low-noise, robust graph representations of the human brain. The webserver is available at http://connectome.pitgroup.org.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Consensus connectome; Reference connectome; connectome

Mesh:

Year:  2015        PMID: 25862487     DOI: 10.1016/j.neulet.2015.03.071

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  12 in total

1.  The frequent subgraphs of the connectome of the human brain.

Authors:  Máté Fellner; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2019-05-06       Impact factor: 5.082

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

Authors:  Csaba Kerepesi; Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2017-06-20       Impact factor: 5.082

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

Authors:  Balázs Szalkai; Csaba Kerepesi; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2016-09-15       Impact factor: 5.082

4.  High-resolution directed human connectomes and the Consensus Connectome Dynamics.

Authors:  Balázs Szalkai; Csaba Kerepesi; Bálint Varga; Vince Grolmusz
Journal:  PLoS One       Date:  2019-04-16       Impact factor: 3.240

5.  Comparing advanced graph-theoretical parameters of the connectomes of the lobes of the human brain.

Authors:  Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2018-10-06       Impact factor: 5.082

6.  The Robustness and the Doubly-Preferential Attachment Simulation of the Consensus Connectome Dynamics of the Human Brain.

Authors:  Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Sci Rep       Date:  2017-11-23       Impact factor: 4.379

7.  The Frequent Network Neighborhood Mapping of the human hippocampus shows much more frequent neighbor sets in males than in females.

Authors:  Máté Fellner; Bálint Varga; Vince Grolmusz
Journal:  PLoS One       Date:  2020-01-28       Impact factor: 3.240

8.  The braingraph.org database with more than 1000 robust human connectomes in five resolutions.

Authors:  Bálint Varga; Vince Grolmusz
Journal:  Cogn Neurodyn       Date:  2021-03-12       Impact factor: 5.082

9.  How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain.

Authors:  Csaba Kerepesi; Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  PLoS One       Date:  2016-06-30       Impact factor: 3.240

10.  The Graph of Our Mind.

Authors:  Balázs Szalkai; Bálint Varga; Vince Grolmusz
Journal:  Brain Sci       Date:  2021-03-08
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