7.1.175. 3dWaveletsΒΆ

Link to classic view

++ 3dWavelets: AFNI version=AFNI_2011_12_21_1014 (Dec 16 2015) [64-bit] ++ Authored by: B. Douglas Ward 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 = Dec 16 2015

Table Of Contents

This Page