2016/10/06 by Csaba Kerepesi, Kerepesi, Csaba, Balázs Szalkai +5
Neuroscience · Environmental Science · #Functional Brain Connectivity Studies #EEG and Brain-Computer Interfaces #Health, Environment, Cognitive Aging
paper · pdf · doi:10.48550/arxiv.1610.02016
Based on the data of the NIH-funded Human Connectome Project, we have\ncomputed structural connectomes of 426 human subjects in five different\nresolutions of 83, 129, 234, 463 and 1015 nodes and several edge weights. The\ngraphs are given in anatomically annotated GraphML format that facilitates\nbetter further processing and visualization. For 96 subjects, the anatomically\nclassified sub-graphs can also be accessed, formed from the vertices\ncorresponding to distinct lobes or even smaller regions of interests of the\nbrain. For example, one can easily download and study the connectomes,\nrestricted to the frontal lobes or just to the left precuneus of 96 subjects\nusing the data. Partially directed connectomes of 423 subjects are also\navailable for download. We also present a GitHub-deposited set of tools, called\nthe Brain Graph Tools, for several processing tasks of the connectomes on the\nsite urlhttp://braingraph.org.\n