The Budapest Reference Connectome server computes the frequently appearing anatomical brain connections of 418 healthy subjects.[1][2] It has been prepared from diffusion MRI datasets of the Human Connectome Project into a reference connectome (or brain graph), which can be downloaded in CSV and GraphML formats and visualized on the site in 3D.
The Budapest Reference Connectome has 1015 nodes, corresponding to anatomically identified gray matter areas. The user can set numerous parameters and the resulting consensus connectome is readily visualized on the webpage.[2] Users can zoom, rotate, and query the anatomical label of the nodes on the graphical component.
Backgroundedit
Budapest Reference Connectome is a consensus graph of the brain graphs of 96 subjects in Version 2 and 418 subjects in Version 3. Only those edges are returned which are present in a given percentage of the subjects. 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 (i.e., average) or median. The user interface allows the customization of these parameters: the user can select the minimum frequency of the edges returned. There is an option for viewing and comparing the female or male reference connectomes. 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.[3][4][5]
Discoveriesedit
The Budapest Reference Connectome has led the researchers to the discovery of the Consensus Connectome Dynamics of the human brain graphs. The edges appeared in all of the brain graphs form a connected subgraph around the brainstem. By allowing gradually less frequent edges, this core subgraph grows continuously, as a shrub. The growth dynamics may reflect the individual brain development and provide an opportunity to direct some edges of the human consensus brain graph.[6]
Referencesedit
^ Szalkai, Balázs; et al. (2015). "The Budapest Reference Connectome Server v2.0". Neuroscience Letters. 595: 60–2. arXiv:1412.3151. doi:10.1016/j.neulet.2015.03.071. PMID 25862487. S2CID 6563189.
^ ab Szalkai, Balázs; Kerepesi, Csaba; Varga, Balint; Grolmusz, Vince (2017). "Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0". Cognitive Neurodynamics. 11 (1): 113–116. arXiv:1602.04776. doi:10.1007/s11571-016-9407-z. PMC5264751. PMID 28174617.
^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. Bibcode:2014PNAS..111..823I. doi:10.1073/pnas.1316909110. ISSN 0027-8424. PMC3896179. PMID 24297904.
^Szalkai, Balázs; Varga, Bálint; Grolmusz, Vince (2017). "Brain Size Bias Compensated Graph-Theoretical Parameters are Also Better in Women's Structural Connectomes". Brain Imaging and Behavior. 12 (3): 663–673. doi:10.1007/s11682-017-9720-0. PMID 28447246. S2CID 4028467.
^ Kerepesi, Csaba; et al. (2016). "How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain". PLOS ONE. 11 (6): e0158680. arXiv:1509.05703. Bibcode:2016PLoSO..1158680K. doi:10.1371/journal.pone.0158680. PMC4928947. PMID 27362431.
January 01, 1970
budapest, reference, connectome, server, computes, frequently, appearing, anatomical, brain, connections, healthy, subjects, been, prepared, from, diffusion, datasets, human, connectome, project, into, reference, connectome, brain, graph, which, downloaded, gr. The Budapest Reference Connectome server computes the frequently appearing anatomical brain connections of 418 healthy subjects 1 2 It has been prepared from diffusion MRI datasets of the Human Connectome Project into a reference connectome or brain graph which can be downloaded in CSV and GraphML formats and visualized on the site in 3D Budapest Reference ConnectomeDeveloper s Balazs Szalkai Csaba Kerepesi Balint Varga Vince GrolmuszStable release3 0Written inPerl JavaScript WebGLAvailable inEnglishTypeConnectomicsWebsitepitgroup wbr org wbr connectome wbr Contents 1 Features 2 Background 3 Discoveries 4 ReferencesFeatures editThe Budapest Reference Connectome has 1015 nodes corresponding to anatomically identified gray matter areas The user can set numerous parameters and the resulting consensus connectome is readily visualized on the webpage 2 Users can zoom rotate and query the anatomical label of the nodes on the graphical component Background editBudapest Reference Connectome is a consensus graph of the brain graphs of 96 subjects in Version 2 and 418 subjects in Version 3 Only those edges are returned which are present in a given percentage of the subjects 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 i e average or median The user interface allows the customization of these parameters the user can select the minimum frequency of the edges returned There is an option for viewing and comparing the female or male reference connectomes 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 3 4 5 Discoveries editThe Budapest Reference Connectome has led the researchers to the discovery of the Consensus Connectome Dynamics of the human brain graphs The edges appeared in all of the brain graphs form a connected subgraph around the brainstem By allowing gradually less frequent edges this core subgraph grows continuously as a shrub The growth dynamics may reflect the individual brain development and provide an opportunity to direct some edges of the human consensus brain graph 6 References edit Szalkai Balazs et al 2015 The Budapest Reference Connectome Server v2 0 Neuroscience Letters 595 60 2 arXiv 1412 3151 doi 10 1016 j neulet 2015 03 071 PMID 25862487 S2CID 6563189 a b Szalkai Balazs Kerepesi Csaba Varga Balint Grolmusz Vince 2017 Parameterizable consensus connectomes from the Human Connectome Project the Budapest Reference Connectome Server v3 0 Cognitive Neurodynamics 11 1 113 116 arXiv 1602 04776 doi 10 1007 s11571 016 9407 z PMC 5264751 PMID 28174617 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 Bibcode 2014PNAS 111 823I doi 10 1073 pnas 1316909110 ISSN 0027 8424 PMC 3896179 PMID 24297904 Szalkai Balazs Varga Balint Grolmusz Vince 2015 Graph Theoretical Analysis Reveals Women s Brains Are Better Connected than Men s PLOS ONE 10 7 e0130045 arXiv 1501 00727 Bibcode 2015PLoSO 1030045S doi 10 1371 journal pone 0130045 ISSN 1932 6203 PMC 4488527 PMID 26132764 Szalkai Balazs Varga Balint Grolmusz Vince 2017 Brain Size Bias Compensated Graph Theoretical Parameters are Also Better in Women s Structural Connectomes Brain Imaging and Behavior 12 3 663 673 doi 10 1007 s11682 017 9720 0 PMID 28447246 S2CID 4028467 Kerepesi Csaba et al 2016 How to Direct the Edges of the Connectomes Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain PLOS ONE 11 6 e0158680 arXiv 1509 05703 Bibcode 2016PLoSO 1158680K doi 10 1371 journal pone 0158680 PMC 4928947 PMID 27362431 Retrieved from https en wikipedia org w index php title Budapest Reference Connectome amp oldid 1040060588, wikipedia, wiki, book, books, library,
