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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