Literature DB >> 28174617

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

Balázs Szalkai1, Csaba Kerepesi1,2, Bálint Varga1, Vince Grolmusz1,3.   

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.

Entities:  

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

Year:  2016        PMID: 28174617      PMCID: PMC5264751          DOI: 10.1007/s11571-016-9407-z

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  6 in total

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Review 2.  FreeSurfer.

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3.  The Budapest Reference Connectome Server v2.0.

Authors:  Balázs Szalkai; Csaba Kerepesi; Bálint Varga; Vince Grolmusz
Journal:  Neurosci Lett       Date:  2015-04-07       Impact factor: 3.046

4.  The Human Connectome Project and beyond: initial applications of 300 mT/m gradients.

Authors:  Jennifer A McNab; Brian L Edlow; Thomas Witzel; Susie Y Huang; Himanshu Bhat; Keith Heberlein; Thorsten Feiweier; Kecheng Liu; Boris Keil; Julien Cohen-Adad; M Dylan Tisdall; Rebecca D Folkerth; Hannah C Kinney; Lawrence L Wald
Journal:  Neuroimage       Date:  2013-05-24       Impact factor: 6.556

5.  Mapping the structural core of human cerebral cortex.

Authors:  Patric Hagmann; Leila Cammoun; Xavier Gigandet; Reto Meuli; Christopher J Honey; Van J Wedeen; Olaf Sporns
Journal:  PLoS Biol       Date:  2008-07-01       Impact factor: 8.029

6.  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

  6 in total
  16 in total

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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.  Reconstructing missing complex networks against adversarial interventions.

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Authors:  Balázs Szalkai; Csaba Kerepesi; Bálint Varga; Vince Grolmusz
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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.

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7.  Prion-like spreading of Alzheimer's disease within the brain's connectome.

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Journal:  J R Soc Interface       Date:  2019-10-16       Impact factor: 4.118

8.  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

9.  Large-scale comparative neuroimaging: Where are we and what do we need?

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10.  Protein-protein interactions in neurodegenerative diseases: A conspiracy theory.

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