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Abstract #5446

Dual reconstructions of SLIDER-XD for high spatial and temporal resolution resting state fMRI at 7T

An Thanh Vu1,2, Alexander Beckett3,4, David Feinberg3,4, and Pratik Mukherjee1,2

1Radiology, San Francisco VA Health Care System, San Francisco, CA, United States, 2Center for Imaging of Neurodegenerative Diseases, University of California at San Francisco, San Francisco, CA, United States, 3Helen Wills Neuroscience Institute, University of California at Berkeley, Berkeley, CA, United States, 4Advanced MRI Technologies, Sebastopol, CA, United States

Here we assert that the individual dithers of a SLIDER-XD dataset can be utilized in a dual fashion to reconstruct not only a high spatial resolution dataset but also a high temporal resolution dataset (termed SLIDER-XDT) suitable for fMRI experiments requiring faster TRs. While analogous to spatial smoothing where spatial resolution is traded for statistical power in post-processing, SLIDER-XDT not only provides additional statistical power but also additional temporal resolution which can be used to support detection of additional resting state networks or to temporally un-alias signals of interest.

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