7.1.156. 3dTnormΒΆ

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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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