3dWavelets

Contents

• 3dWavelets

Program to perform wavelet analysis of an FMRI 3d+time dataset.

Usage:
3dWavelets
-type wname          wname = name of wavelet to use for the analysis
                     At present, there are only two choices for wname:
                        Haar  -->  Haar wavelets
                        Daub  -->  Daubechies wavelets
-input fname         fname = filename of 3d+time input dataset
[-input1D dname]     dname = filename of single (fMRI) .1D time series
[-mask mname]        mname = filename of 3d mask dataset
[-nfirst fnum]       fnum = number of first dataset image to use in
                       the wavelet analysis. (default = 0)
[-nlast  lnum]       lnum = number of last dataset image to use in
                       the wavelet analysis. (default = last)
[-fdisp fval]        Write (to screen) results for those voxels
                       whose F-statistic is >= fval

Filter options:

[-filt_stop band mintr maxtr] Specify wavelet coefs. to set to zero
[-filt_base band mintr maxtr] Specify wavelet coefs. for baseline model
[-filt_sgnl band mintr maxtr] Specify wavelet coefs. for signal model
     where  band  = frequency band
            mintr = min. value for time window (in TR)
            maxtr = max. value for time window (in TR)

Output options:

[-datum DTYPE]      Coerce the output data to be stored as type DTYPE,
                       which may be short or float. (default = short)

[-coefts cprefix]   cprefix = prefix of 3d+time output dataset which
                       will contain the forward wavelet transform
                       coefficients

[-fitts  fprefix]   fprefix = prefix of 3d+time output dataset which
                       will contain the full model time series fit
                       to the input data

[-sgnlts sprefix]   sprefix = prefix of 3d+time output dataset which
                       will contain the signal model time series fit
                       to the input data

[-errts  eprefix]   eprefix = prefix of 3d+time output dataset which
                       will contain the residual error time series
                       from the full model fit to the input data

The following options control the contents of the bucket dataset:

[-fout]            Flag to output the F-statistics
[-rout]            Flag to output the R^2 statistics
[-cout]            Flag to output the full model wavelet coefficients
[-vout]            Flag to output the sample variance (MSE) map

[-stat_first]      Flag to specify that the full model statistics will
                     appear prior to the wavelet coefficients in the
                     bucket dataset output

[-bucket bprefix]  bprefix = prefix of AFNI 'bucket' dataset containing
                     parameters of interest, such as the F-statistic
                     for significance of the wavelet signal model.

++ Compile date = Mar 27 2018 {AFNI_18.0.27:linux_ubuntu_16_64}