Provided by: ants_2.2.0-1ubuntu1_amd64

**NAME**

TimeSCCAN - part of ANTS registration suite

**DESCRIPTION**

COMMAND:TimeSCCAN A tool for sparse statistical analysis on connectivity within a subject :OPTIONS:-hPrint the help menu (short version).--helpPrint the help menu (long version). <VALUES>: 1-o,--outputoutputImage Output is a 2D correlation matrix.-l,--number-consecutive-labels0 Number of consecutive labels in data-R,--minimum-region-size1 Minimum size of a region: regions below this size are given a 0.0 connectivity value-i,--iterations20 Number of iterations-s,--sparsity0.10 Sparsity - a float from (0,1] indicating what fraction of the data to use-n,--n_eigenvectors2 Number of permutations to use in scca.-r,--robustify0 rank-based scca-l,--l10 use l1 ( > 0 ) or l0 ( < 0 ) penalty, also sets gradient step size e.g.-l0.5 ( L1 ) ,-l-0.5 (L0) will set 0.5 grad descent step for either penalty--ClusterThresh1 cluster threshold on view P-e,--ridge_cca0 Number of permutations to use in scca.--partial-scca-optionPminusRQ Choices for pscca: PQ, PminusRQ, PQminusR, PminusRQminusR--timeseriesimage-to-matrix[four_d_image.nii.gz,three_d_mask.nii.gz] takes a timeseries (4D) image and converts it to a 2D matrix csv format as output.If the mask has multiple labels ( more the one ) then the average time series in each label will be computed and put in the csv.--labelsimage-to-matrix[three_d_mask.nii.gz] takes a labeled (3D) image and converts it to a 2D matrix csv format as output.--networkscca[time-matrix.mhd,label-matrix.mhd] region-averaging[time-matrix.mhd,label-matrix.mhd] Build the network connectivity matrix