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Preprocessing Description
Brian Pho edited this page May 17, 2021
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- aamod_structuralfromnifti: find structural input files from nifti.
- aamod_epifromnifti: find EPI input files from nifti.
- aamod_tsdiffana: calculate measurements of noise in time series.
- aamod_realign: uses SPM realignment to perform motion correction on fMRI data, realigning each image to the first one.
- aamod_coreg_noss: spatially align (coregister) the mean fMRI volume with the structural.
- aamod_norm_noss: noramlization. Scale and warp the structural image so that each brain region matches the corresponding one in the MNI standard template (average brain).
- aamod_bet: use the FSL brain extraction tool (BET).
- aamod_bet_epi_reslicing: skull stripping with BET.
- aamod_mask_fromstruct: create different threshold masks from the segmentation.
- aamod_compSignal: get the signal from the CSF, WM, GM, and OOB.
- aamod_norm_write: apply the scaling and warping derived by norm_noss to the fMRI images.
- aamod_smooth: spatially smooths the fMRI data.
- aamod_listspikes: lists spikes (big changes from one image to the next) in the MRI data.
- aamod_firstlevel_scrubbingmodel_BS: cleans and filters time series.
- aamod_firstlevel_modelestimate_saveresids: estimate a specified model and save the residuals.