Hu Cheng1, Aina Puce1
1Indiana University, Bloomington, IN, United States
Motion correction is critical for data analysis of fMRI time series. Most motion correction algorithms treat the head as a rigid body. Respiration of the subject, however, can alter the static magnetic field in the head and result in slice shifts. To characterize the effect of respiration on Motion Correction, we acquired highly sampled fMRI data using multi-band EPI and then simulated different acquisition schemes. Our results show that respiration does affect the motion correction results and interleaved acquisition leads to larger between volume variations than ascending acquisition, suggesting a hybrid acquisition scheme is preferred.