Usage: 3dTnorm [options] dataset Takes each voxel time series and normalizes it (by multiplicative scaling) – in some sense.
Options:
- -prefix p = use string ‘p’ for the prefix of the
- output dataset [DEFAULT = ‘tnorm’]
-norm2 = L2 normalize (sum of squares = 1) [DEFAULT]
- -normR = normalize so sum of squares = number of time points
- e.g., so RMS = 1.
-norm1 = L1 normalize (sum of absolute values = 1)
-normx = Scale so max absolute value = 1 (L_infinity norm)
- -polort p = Detrend with polynomials of order p before normalizing
[DEFAULT = don’t do this]
- Use ‘-polort 0’ to remove the mean, for example
- -L1fit = Detrend with L1 regression (L2 is the default)
- This option is here just for the hell of it
Notes: * Each voxel is processed separately * A voxel that is all zero will be unchanged (duh) * Output dataset is in float format, no matter what the input format * This program is for producing regressors to use in 3dTfitter * Also see programs 1dnorm and 3dcalc
++ Compile date = Dec 16 2015
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