Slice-acceleration Related Biases in Multiband-EPI Resting State Functional Connectivity
Zahra Faraji-Dana1,2, Ali Golestani3, Yasha Khatamian3, Simon Graham1,2, and J. Jean Chen1,3
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Sunnybrook Research Institute, Sunnybrook Health Science Centre, Toronto, ON, Canada, 3Rotman Research Institute, Baycrest Health Science Centre, Toronto, ON, Canada
Resting-state functional connectivity MRI (rs-fcMRI) is most commonly computed as the temporal
dependency amongst blood oxygenation Level dependent (BOLD) signal patterns of different brain regions. It has been shown that rs-fMRI can benefit from faster imaging times
offered by simultaneous multi-slice (a.k.a. multiband, referred to as “MB”)
slice-acceleration that enables acquiring “groups” of slices at the same time. However,
this slice grouping may incur aliasing artifacts, primarily from motion and physiological fluctuations. These spurious time-dependent signals
can adversely affect the rs-fcMRI maps in the simultaneously-acquired
slices (i.e., in one slice-group). In this work we investigate two hypotheses
1) the simultaneously sampled physiological noises as well as the residual
aliasing introduce a slice-group effect in rs-fcMRI maps; 2) this slice-group
effect can be mitigated by physiological noise correction.
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