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Abstract #0581

The effect of motion and nuisance regression on resting-state fMRI using highly accelerated SMS- or 3D-EPI

Rüdiger Stirnberg1, Willem Huijbers2, Monique Breteler2, and Tony Stöcker1,3

1MR Physics, DZNE (Bonn), Bonn, Germany, 2Population Health Sciences, DZNE (Bonn), Bonn, Germany, 3Department of Physics and Astronomy, University of Bonn, Bonn, Germany

We compare the effects of motion and nuisance regression on highly accelerated resting-state fMRI of 10 subjects scanned at 3T using state-of-the-art simultaneous multi-slice EPI and segmented 3D-EPI with controlled aliasing. While both TR-matched protocols are per design fast enough to separate the cardiac frequency peak from BOLD signal, gray matter signal-to-noise ratio with the 3D-EPI protocol improves almost twice as much as compared to the SMS-EPI protocol. Template based rotation functional connectivity analysis on average shows greater statistical loadings for several known networks when using cleaned 3D-EPI data than when using cleaned SMS-EPI data.

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