Rows and columns in the matrices represent network nodes, matrix entries represent network connections. Self-self connections are included. See http://doi.org/10.1016/j.neuroimage.2019.02.039 or https://doi.org/10.1101/531350 for methods. Please cite:
Civier, O., Smith, R. E., Yeh, C. H., Connelly, A., & Calamante, F. (2019). **Is removal of weak connections necessary for graph-theoretical analysis of dense weighted structural connectomes from diffusion MRI?** *NeuroImage*. http://doi.org/10.1016/j.neuroimage.2019.02.039
**File format:**
Matrices are upper triangular. Fields are separated by spaces. Row number (top to bottom) = Node number. Column number (left to right) = Node Number. Values have the default precision provided by Matlab, double-precision floating-point.
**Connection strength definition:**
Connection strengths are relative; the ratio between a connection strength and total brain connectivity is approximately given by *connection_strength / 10M* for the low-resolution connectomes, and by *connection_strength / 70M* for the high-resolution connectomes.
**Analysis software:**
Main software package used for connectome generation is *MRtrix* (www.mrtrix.org). N4ITK was used for bias field correction (http://hdl.handle.net/10380/3053).
**Low-resolution connectomes:**
There are 100 low-resolution connectomes with 84 nodes. The nodes are grey matter regions-of-interest segmented using FreeSurfer (Desikan-Killiany) (https://surfer.nmr.mgh.harvard.edu/). Subcortical regions were substituted by FSL's FIRST (https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIRST), but region numbering stayed as in Desikan-Killiany (see text file with region numbers and labels). HCP subject IDs were used as filenames.
**High-resolution connectomes:**
There are 10 high-resolution connectomes with 234 nodes. The nodes are grey matter regions-of-interest segmented using Connectome Mapping Toolkit (Lausanne2008) (www.connectomics.org), and are based on an initial FreeSurfer segmentation (Desikan-Killiany). HCP subject IDs were used as filenames.
