Using Nipype's spacetime realigner tool on multiband data

Hi all, I have been acquiring multi band data and preprocessing resting state data through Nipype’s rsfmri script (https://github.com/nipy/nipype/blob/master/examples/rsfmri_vol_surface_preprocessing_nipy.py). I had a specific question re: spacetime realigner

I was wondering whether anyone had any idea how multiband data works with spacetimerealigner, and whether or not it was recommended to use with multi band data. Our slice timing is ascending but goes from 0-2 seconds three times (see below) If it is not recommended, are there any other suggested ways to perform slice time correction?

Our slice timing has the following values: [ 0, 0.0775, 0.1575, 0.2375, 0.315, 0.395, 0.475, 0.5525, 0.6325,
0.7125, 0.79, 0.87, 0.95, 1.0275, 1.1075, 1.1875, 1.265, 1.345,
1.425, 1.5025, 1.5825, 1.6625, 1.74, 1.82, 1.9, 0, 0.0775, 0.1575,
0.2375, 0.315, 0.395, 0.475, 0.5525, 0.6325, 0.7125, 0.79, 0.87,
0.95, 1.0275, 1.1075, 1.1875, 1.265, 1.345, 1.425, 1.5025, 1.5825,
1.6625, 1.74, 1.82, 1.9, 0, 0.0775, 0.1575, 0.2375, 0.315, 0.395,
0.475, 0.5525, 0.6325, 0.7125, 0.79, 0.87, 0.95, 1.0275, 1.1075,
1.1875, 1.265, 1.345, 1.425, 1.5025, 1.5825, 1.6625, 1.74, 1.82,
1.9 ]

Thanks!
Katrina

3 Likes