Abstract #5446

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

An Thanh Vu^1,2, Alexander Beckett^3,4, David Feinberg^3,4, and Pratik Mukherjee^1,2

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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