Budapest Reference Connectome
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| Developer(s) | Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz |
|---|---|
| Stable release | 3.0 |
| Written in | Perl, Javascript, WebGL |
| Available in | English |
| Type | Connectomics |
| Website | http://pitgroup.org/connectome/ |
The Budapest Reference Connectome is a depiction of the anatomical connections, or connectome, of 96 healthy people collectively.[1] It has been computed from diffusion MRI datasets of the Human Connectome Project into a reference connectome (or brain graph), which can be downloaded and visualized in 3D.
Features
The Budapest Reference Connectome has 1015 nodes, but those corresponding to the same larger cerebral area are drawn at the same spot, for a cleaner view. You can use your mouse to zoom and rotate, and if you click a node you can see only the connections of that node.
Background
Budapest Reference Connectome is a combination of the brain graphs of 96 subjects. Only those edges are selected which are present in a given percentage of the graphs. Each of the selected edges has a certain weight in each of the graphs containing that edge, so these multiple weights are combined into a single weight, by taking either their mean or median. The user interface allows customization of these parameters. There is an option for viewing and comparing the female or male reference connectome. The connectomes of women contain significantly more edges than those of men, and a larger portion of the edges in the connectomes of women run between the two hemispheres.[2][3]
References
- ↑ Szalkai, Balázs; et al. (2015). "The Budapest Reference Connectome Server v2.0". Neuroscience Letters 595: 60–2. doi:10.1016/j.neulet.2015.03.071. PMID 25862487.
- ↑ Ingalhalikar, M.; Smith, A.; Parker, D.; Satterthwaite, T. D.; Elliott, M. A.; Ruparel, K.; Hakonarson, H.; Gur, R. E.; Gur, R. C.; Verma, R. (2013). "Sex differences in the structural connectome of the human brain". Proceedings of the National Academy of Sciences 111 (2): 823–828. doi:10.1073/pnas.1316909110. ISSN 0027-8424. PMID 24297904.
- ↑ Szalkai, Balázs; Varga, Bálint; Grolmusz, Vince (2015). "Graph Theoretical Analysis Reveals: Women’s Brains Are Better Connected than Men’s". PLOS ONE 10 (7): e0130045. doi:10.1371/journal.pone.0130045. ISSN 1932-6203.