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Abstract #4139

Improved Detection of BOLD-like Independent Components with Multi-Echo Simultaneous Multi-Slice Acquisitions and Multi-echo ICA

Valur Olafsson 1 , Prantik Kundu 2 , Chi Wah Wong 3 , Jia Guo 3 , Kun Lu 3 , Eman Ghobrial 3 , Peter Bandettini 2,4 , Eric Wong 3 , and Thomas Liu 3

1 Neuroscience Imaging Center, University of Pittsburgh, Pittsburgh, PA, United States, 2 Section on Functional Imaging Methods, NIMH, Bethesda, MD, United States, 3 Center for Functional MRI, UCSD, La Jolla, CA, United States, 4 Functional MRI Facility, NIMH, Bethesda, MD, United States

The increased sampling rate of simultaneous multi-slice (SMS) fMRI acquisitions can increase tSNR and statistical power for resting state functional connectivity (fc) MRI. Multi-echo acquisitions with ICA analysis have also been proposed as a method to improve the detection of resting-state networks. Here we investigate the benefits of combining the two approaches and compare the performance of multi-echo SMS (MESMS) and multi-echo single-slice (MESS) acquisitions. We find that the higher sampling rate of the MESMS acquisition enables the identification of BOLD-like independent components that contain high frequency energy.

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