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q-bio.NC2016

The braingraph.org Database of High Resolution Structural Connectomes and the Brain Graph Tools

Csaba Kerepesi, Balazs Szalkai, Balint Varga +1

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 1…

q-bio.NC2016

High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics

Balázs Szalkai, Csaba Kerepesi, Bálint Varga +1

Here we show a method of directing the edges of the connectomes, prepared from diffusion tensor imaging (DTI) datasets from the human brain. Before the present work, no high-defini…

q-bio.NC2016

The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain

Csaba Kerepesi, Balint Varga, Balazs Szalkai +1

In the applications of the graph theory it is unusual that one considers numerous, pairwise different graphs on the very same set of vertices. In the case of human braingraphs or c…

q-bio.NC2016

Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0

Balázs Szalkai, Csaba Kerepesi, Bálint Varga +1

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 d…

q-bio.NC2015

Comparative Connectomics: Mapping the Inter-Individual Variability of Connections within the Regions of the Human Brain

Csaba Kerepesi, Balázs Szalkai, Bálint Varga +1

The human braingraph, or connectome is a description of the connections of the brain: the nodes of the graph correspond to small areas of the gray matter, and two nodes are connect…