fixelcfestats

Synopsis

Fixel-based analysis using connectivity-based fixel enhancement and non-parametric permutation testing

Usage

fixelcfestats [ options ]  in_fixel_directory subjects design contrast tracks out_fixel_directory
  • in_fixel_directory: the fixel directory containing the data files for each subject (after obtaining fixel correspondence
  • subjects: a text file listing the subject identifiers (one per line). This should correspond with the filenames in the fixel directory (including the file extension), and be listed in the same order as the rows of the design matrix.
  • design: the design matrix. Note that a column of 1’s will need to be added for correlations.
  • contrast: the contrast vector, specified as a single row of weights
  • tracks: the tracks used to determine fixel-fixel connectivity
  • out_fixel_directory: the output directory where results will be saved. Will be created if it does not exist

Options

Options for permutation testing

  • -notest don’t perform permutation testing and only output population statistics (effect size, stdev etc)
  • -nperms num the number of permutations (Default: 5000)
  • -permutations file manually define the permutations (relabelling). The input should be a text file defining a m x n matrix, where each relabelling is defined as a column vector of size m, and the number of columns, n, defines the number of permutations. Can be generated with the palm_quickperms function in PALM (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/PALM). Overrides the nperms option.
  • -nonstationary perform non-stationarity correction
  • -nperms_nonstationary num the number of permutations used when precomputing the empirical statistic image for nonstationary correction (Default: 5000)
  • -permutations_nonstationary file manually define the permutations (relabelling) for computing the emprical statistic image for nonstationary correction. The input should be a text file defining a m x n matrix, where each relabelling is defined as a column vector of size m, and the number of columns, n, defines the number of permutations. Can be generated with the palm_quickperms function in PALM (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/PALM) Overrides the nperms_nonstationary option.

Parameters for the Connectivity-based Fixel Enhancement algorithm

  • -cfe_dh value the height increment used in the cfe integration (default: 0.1)
  • -cfe_e value cfe extent exponent (default: 2)
  • -cfe_h value cfe height exponent (default: 3)
  • -cfe_c value cfe connectivity exponent (default: 0.5)

Additional options for fixelcfestats

  • -negative automatically test the negative (opposite) contrast. By computing the opposite contrast simultaneously the computation time is reduced.
  • -smooth FWHM smooth the fixel value along the fibre tracts using a Gaussian kernel with the supplied FWHM (default: 10mm)
  • -connectivity threshold a threshold to define the required fraction of shared connections to be included in the neighbourhood (default: 0.01)
  • -angle value the max angle threshold for assigning streamline tangents to fixels (Default: 45 degrees)

Standard options

  • -info display information messages.
  • -quiet do not display information messages or progress status.
  • -debug display debugging messages.
  • -force force overwrite of output files. Caution: Using the same file as input and output might cause unexpected behaviour.
  • -nthreads number use this number of threads in multi-threaded applications (set to 0 to disable multi-threading)
  • -failonwarn terminate program if a warning is produced
  • -help display this information page and exit.
  • -version display version information and exit.

References

Raffelt, D.; Smith, RE.; Ridgway, GR.; Tournier, JD.; Vaughan, DN.; Rose, S.; Henderson, R.; Connelly, A.Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres. Neuroimage, 2015, 15(117):40-55

  • If using the -nonstationary option: Salimi-Khorshidi, G. Smith, S.M. Nichols, T.E. Adjusting the effect of nonstationarity in cluster-based and TFCE inference. NeuroImage, 2011, 54(3), 2006-19

Author: David Raffelt (david.raffelt@florey.edu.au)

Copyright: Copyright (c) 2008-2017 the MRtrix3 contributors

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For more details, see http://www.mrtrix.org/.