The Budapest Reference Connectome Server v2.0

@article{Szalkai2015TheBR,
  title={The Budapest Reference Connectome Server v2.0},
  author={Bal{\'a}zs Szalkai and Csaba Kerepesi and B{\'a}lint Varga and Vince Grolmusz},
  journal={Neuroscience Letters},
  year={2015},
  volume={595},
  pages={60-62}
}

Figures and Tables from this paper

Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0
TLDR
The construction of the version 3.0 of the server is reported, generating the common edges of the connectome of variously parameterizable subsets of the 1015-vertex connectomes of 477 subjects of the Human Connectome Project’s 500-subject release.
The braingraph.org database of high resolution structural connectomes and the brain graph tools
TLDR
Based on the data of the NIH-funded Human Connectome Project, structural connectomes of 426 human subjects are computed in five different resolutions of 83, 129, 234, 463 and 1015 nodes and several edge weights in anatomically annotated GraphML format that facilitates better further processing and visualization.
The Frequent Complete Subgraphs in the Human Connectome
TLDR
The mapping of the frequent complete subgraphs of the human brain networks gives robust substructures in the graph: if a subgraph is present in the 80% of the graphs, then, most probably, it could not be an artifact of the measurement or the data processing workflow.
The frequent complete subgraphs in the human connectome
TLDR
The mapping of the frequent complete subgraphs of the human brain networks gives robust substructures in the graph: if a subgraph is present in the 80% of the graphs, then, most probably, it could not be an artifact of the measurement or the data processing workflow.
The frequent subgraphs of the connectome of the human brain
TLDR
The present contribution describes the frequent connected subgraphs of at most six edges in the human brain, and analyzes these frequent graphs and examines sex differences in these graphs: numerous connected sub graphs that are more frequent in female or male connectomes.
The braingraph.org database with more than 1000 robust human connectomes in five resolutions
TLDR
Ten64 human connectomes are described and published, computed from the public release of the Human Connectome Project, which makes possible the access to this graphs for scientists unfamiliar with neuroimaging- and connectome-related tools.
High-resolution directed human connectomes and the Consensus Connectome Dynamics
TLDR
The robustness of the edge directing method in four independently chosen connectome datasets is found: it is found that 86% of the edges, which were present in all four datasets, get the same directions in all datasets; therefore the direction method is robust.
How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain
TLDR
A surprising and unforeseen property of the Budapest Reference Connectome Server is recognized, and it is hypothesized that this movement of the slider in the webserver may copy the development of the connections in the human brain in the following sense: the connections that are present in all subjects are the oldest ones, and those that arepresent only in a decreasing fraction of the subjects are gradually the newer connections inThe individual brain development.
Comparing advanced graph-theoretical parameters of the connectomes of the lobes of the human brain
TLDR
Comparing numerous graph parameters in the three largest lobes—frontal, parietal, temporal—and in both hemispheres of the human brain is compared, and some findings are presented, never described before, including that the right parietal lobe contains significantly more edges, has higher average degree, density, larger minimum vertex cover and Hoffman bound than the leftParietal lobe.
...
...

References

SHOWING 1-10 OF 16 REFERENCES
The Rich Club of the C. elegans Neuronal Connectome
TLDR
The economical trade-off between physical cost and behavioral value of rich club organization in a cellular connectome confirms theoretical expectations and recapitulates comparable results from human neuroimaging on much larger scale networks, suggesting that this may be a general and scale-invariant principle of brain network organization.
Exploring the retinal connectome
TLDR
The first retinal connectome is described, validates the method, and provides key initial findings, which demonstrate that previously studied systems such as the AII amacrine cell network involve more network motifs than previously known.
The Laplacian spectrum of neural networks
The brain is a complex network of neural interactions, both at the microscopic and macroscopic level. Graph theory is well suited to examine the global network architecture of these neural networks.
The Human Connectome Project and beyond: Initial applications of 300mT/m gradients
Mapping the Structural Core of Human Cerebral Cortex
TLDR
The spatial and topological centrality of the core within cortex suggests an important role in functional integration and a substantial correspondence between structural connectivity and resting-state functional connectivity measured in the same participants.
Semi-automated reconstruction of neural circuits using electron microscopy
Mapping mammalian synaptic connectivity
TLDR
Recent technological advances designed to overcome the limitations of conventional methods for connectivity mapping may bring about a turning point, and the promises and pitfalls of these new mapping technologies are addressed.
Brain Connectivity: Revealing the Fly Visual Motion Circuit
Realtime Visualization of the Connectome in the Browser using WebGL
...
...