PowerPoint Presentation - Time Series Analysis in AFNI

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Upgrades – Planned or Dreamed of

• Automatic baseline normalization of input time series

• Automatic mask generation (à la 3dAutomask program)

• Spatial blur (à la 3dmerge -1blur)

• Time shift input before analysis (à la 3dTshift program)

• Negative lags for -stim_file method of deconvolution

H for pre-stimulus cognition/anticipation

H -stim_times already allows pre-stimulus response

• ‘Area under curve’ addition to -gltsym to allow testing of pieces of HRF models from -stim_times

• Slice- and/or voxel-dependent regressors

H For physiological noise cancellation, etc.

• Floating point output format

H Currently is shorts + scale factor