Faskowitz2018wsbmLifeSpan_data

This is the data repository for the paper entitled Weighted Stochastic Block Models of the Human Connectome across the Life Span. See paper and code for how data was preprocessed and analyzed.A note to help decipher the data:For the counts and lengths matrices, the rows/columns 1, 2, and 60 should be deleted. After this is done, rows/columns 1:114 will correspond to the ordered strings in the nodeLabels.mat file. Further, the 115:128 will correspond to subcortical structures in this order (in the paper, we do not use these nodes): Left-Thalamus-Proper, Left-Caudate, Left-Putamen, Left-Pallidum, Left-Hippocampus, Left-Amygdala, Left-Accumbens-area, Right-Thalamus-Proper, Right-Caudate, Right-Putamen, Right-Pallidum, Right-Hippocampus, Right-Amygdala, Right-Accumbens-area. Further, rows 1 and 59 should be deleted for the coordinates and volumes files. After this, the rows should be to aligned to the labels described above.For those interested in why these changes need to be made -> In the matrix data that comes out of Dipy, the first row corresponds to streamlines that intersect the label 0, which is outside the brain. Labels 1 and 59 (which become rows 2 and 60 when that Dipy row is present) in the Yeo parcellation correspond to unknown areas in the parcellation, which sometimes get rendered as a few voxels down by the hippocampus + OFC (from what I've observed). Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation.