PowerPoint Presentation - Using AFNI Interactively

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Data Analysis Script

• In file epi_r1_decon:

•

•waver -GAM \

• -input epi_r1_stim.1D \

• -TR 2.5 \

• > epi_r1_ideal.1D

•

•3dvolreg -base 2 \

• -prefix epi_r1_reg \

• -1Dfile epi_r1_mot.1D \

• -verb \

• epi_r1+orig

•

•3dDeconvolve \

• -input epi_r1_reg+orig \

• -nfirst 2 \

• -num_stimts 1 \

• -stim_file 1 epi_r1_ideal.1D \

• -stim_label 1 AllStim \

• -tout \

• -bucket epi_r1_func \

• -fitts epi_r1_fitts

• waver creates model time series from input stimulus timing in file epi_r1_stim.1D

• Plot a 1D file to screen with

1dplot epi_r1_ideal.1D

3dvolreg (3D image registration) will be covered in a later presentation

•

• 3dDeconvolve = regression code

•

• Name of input dataset

• Index of first sub-brick to process

• Number of input model time series

• Name of first input model time series file

• Name for results in AFNI menus

• Indicates to output t-statistic for b weights

• Name of output “bucket” dataset (statistics)

• Name of output model fit dataset