Abstract #1748

Slice-acceleration Related Biases in Multiband-EPI Resting State Functional Connectivity

Zahra Faraji-Dana^1,2, Ali Golestani³, Yasha Khatamian³, Simon Graham^1,2, and J. Jean Chen^1,3

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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