7.1.175. 3dWavelets
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