The braingraph.org database of high resolution structural connectomes and the brain graph tools
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 bette...
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| Published in | Cognitive neurodynamics Vol. 11; no. 5; pp. 483 - 486 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.10.2017
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1871-4080 1871-4099 |
| DOI | 10.1007/s11571-017-9445-1 |
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| 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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| AbstractList | 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.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. 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 . 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. |
| Author | Kerepesi, Csaba Varga, Bálint Grolmusz, Vince Szalkai, Balázs |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29067135$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.jmr.2011.09.022 10.1371/journal.pone.0158680 10.1016/j.neuroimage.2006.01.021 10.1016/j.neuroimage.2012.01.021 10.1371/journal.pone.0048121 10.1016/j.neulet.2015.03.071 10.1371/journal.pone.0130045 10.1002/ima.22005 10.1016/j.neuroimage.2013.05.074 10.1007/s11682-017-9720-0 10.1007/s11571-016-9407-z |
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| References | Fischl (CR4) 2012; 62 Kerepesi, Szalkai, Varga, Grolmusz (CR6) 2016; 11 CR5 CR7 Tournier, Calamante, Connelly (CR16) 2012; 22 CR15 Desikan, Ségonne, Fischl, Quinn, Dickerson, Blacker, Buckner, Dale, Maguire, Hyman, Albert, Killiany (CR3) 2006; 31 CR14 CR13 CR12 CR11 Basser, Pierpaoli (CR1) 1996; 213 McNab, Edlow, Witzel, Huang, Bhat, Heberlein, Feiweier, Liu, Keil, Cohen-Adad, Tisdall, Folkerth, Kinney, Wald (CR8) 2013; 80 Szalkai, Kerepesi, Varga, Grolmusz (CR9) 2015; 595 Daducci, Gerhard, Griffa, Lemkaddem, Cammoun, Gigandet, Meuli, Hagmann, Thiran (CR2) 2012; 7 Szalkai, Varga, Grolmusz (CR10) 2015; 10 B Szalkai (9445_CR10) 2015; 10 J Tournier (9445_CR16) 2012; 22 PJ Basser (9445_CR1) 1996; 213 B Szalkai (9445_CR9) 2015; 595 B Fischl (9445_CR4) 2012; 62 RS Desikan (9445_CR3) 2006; 31 C Kerepesi (9445_CR6) 2016; 11 9445_CR5 9445_CR12 9445_CR11 9445_CR14 9445_CR13 A Daducci (9445_CR2) 2012; 7 9445_CR7 JA McNab (9445_CR8) 2013; 80 9445_CR15 |
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| Title | The braingraph.org database of high resolution structural connectomes and the brain graph tools |
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