Faskowitz2018wsbmLifeSpan_data

This is the data repository for the paper entitled <em>Weighted Stochastic Block Models of the Human Connectome across the Life Span</em>. See paper and code for how data was preprocessed and analyzed.<br><i><b>A note to help decipher the data:</b></i><br>For the <b>counts</b> and <b>lengths</b> 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): <br>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. <br> Further, rows 1 and 59 should be deleted for the <b>coordinates</b> and <b>volumes</b> files. After this, the rows should be to aligned to the labels described above.<br>For those interested in why these changes need to be made -&gt; In the matrix data that comes out of Dipy, the first row corresponds to streamlines that intersect the label <i>0</i>, which is outside the brain. Labels <i>1</i> and <i>59</i> (which become rows <i>2</i> and <i>60</i> when that Dipy row is present) in the Yeo parcellation correspond to <i>unknown</i> areas in the parcellation, which sometimes get rendered as a few voxels down by the hippocampus + OFC (from what I've observed). <br>_{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.}<br>