Abstract #2848

Ultra-fast 3D fMRI to explore cardiac-induced fluctuations in BOLD-based functional imaging

Brad Sutton^1,2,3, Aaron Anderson¹, Benjamin Zimmerman¹, Paul Camacho^1,3,4, Riwei Jin^1,2, Charles Marchini^1,2, Olawale Salaudeen¹, Natalie Ramsy^1,5, Davide Boido⁶, Serge Charpak⁷, Andrew Webb⁸, and Luisa Ciobanu^6,9

¹Beckman Institute, University of Illinois Urbana Champaign, Urbana, IL, United States, ²Bioengineering, University of Illinois Urbana Champaign, Urbana, IL, United States, ³Neuroscience Program, University of Illinois Urbana Champaign, Urbana, IL, United States, ⁴Interdisciplinary Health Sciences Institute, University of Illinois Urbana Champaign, Urbana, IL, United States, ⁵Carle-Illinois College of Medicine, Urbana, IL, United States, ⁶NeuroSpin CEA, Saclay, France, ⁷INSERM, Paris, France, ⁸Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, ⁹Paris-Saclay University, Saclay, France

Synopsis

Leveraging recent developments in high speed imaging, we use a 3D fMRI acquisition with 60 ms TR to examine the impact of physiological signals on spatiotemporal correlations in BOLD imaging. Given the standard sampling of fMRI with 2D slices, coherent slice-by-slice sampling of physiological signals can lead to many additional components in the fMRI time series. The current approach provides a way to explore the impact of these confounding signals and to test correction methods.

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