Abstract #3717

Comparison of Physiological Noise in Multiband-EPI and Regular EPI fMRI

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

Simultaneous multi-slice echo-planer imaging (EPI) or otherwise known as multiband (MB) EPI provides high temporal and/or spatial resolution in resting-state fMRI (rs-fMRI) studies by modulating and simultaneously imaging multiple slices. However, the effect of slice acceleration on "physiological noise" induced by respiration, cardiac pulsation, variations in respiratory-volume (RVT) and cardiac-rate (CRV) is still unknown. Similar to conventional parallel imaging techniques, residual aliasing occur in MB slice acceleration that could introduce spurious signals into fMRI data. We hypothesize that since a given group of simultaneously acquired slices samples the physiological noise at the same time, the effect of physiological noise may be amplified in MB-EPI. In this study we experimentally verify this hypothesis, and identify the physiological-correction strategy that best corrects this effect.

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