qa scripts for fMRI data

• creates a summary report of quality for an fMRI dataset
• estimates FD/DVARS (Power et al., 2012)
• performs Greve et al./fBIRN spike detection

Dependencies:

• statsmodels
• numpy
• nibabel
• matplotlib
• scikit-learn
• reportlab

USAGE: fmriqa.py bold_mcf.nii.gz (or any suitably named file)

• this main program takes in a motion-corrected image and performs QA -- report is saved to a subdirectory called QA
• it assumes that the following also exist in the same directory (if infile is called bold_mcf.nii.gz): -- bold_mcf_brain_mask.nii.gz: BET mask -- bold_mcf.par: motion parameters generated by mcflirt