7.1.148. 3dTSgenΒΆ

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++ 3dTSgen: AFNI version=AFNI_2011_12_21_1014 (Dec 16 2015) [64-bit] ++ Authored by: B. Douglas Ward This program generates an AFNI 3d+time data set. The time series for each voxel is generated according to a user specified signal + noise model.

Usage: 3dTSgen

-input fname fname = filename of prototype 3d + time data file

[-inTR] set the TR of the created timeseries to be the TR
of the prototype dataset [The default is to compute with TR = 1.] [The model functions are called for a ] [time grid of 0, TR, 2*TR, 3*TR, .... ]

-signal slabel slabel = name of (non-linear) signal model

-noise nlabel nlabel = name of (linear) noise model

-sconstr k c d constraints for kth signal parameter:
c <= gs[k] <= d
-nconstr k c d constraints for kth noise parameter:
c+b[k] <= gn[k] <= d+b[k]

-sigma s s = std. dev. of additive Gaussian noise

[-voxel num] screen output for voxel #num

-output fname fname = filename of output 3d + time data file

The following commands generate individual AFNI 1 sub**-brick** datasets:

[-scoef k fname] write kth signal parameter gs[k];
output ‘fim’ is written to prefix filename fname
[-ncoef k fname] write kth noise parameter gn[k];
output ‘fim’ is written to prefix filename fname

The following commands generate one AFNI ‘bucket’ type dataset:

[-bucket n prefixname] create one AFNI ‘bucket’ dataset containing
n sub-bricks; n=0 creates default output; output ‘bucket’ is written to prefixname

The mth sub-brick will contain: [-brick m scoef k label] kth signal parameter regression coefficient [-brick m ncoef k label] kth noise parameter regression coefficient

++ Compile date = Dec 16 2015

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