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Abstract #1748

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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