Abstract #2848
Ultra-fast 3D fMRI to explore cardiac-induced fluctuations in BOLD-based functional imaging
Brad Sutton1,2,3, Aaron Anderson1, Benjamin Zimmerman1, Paul Camacho1,3,4, Riwei Jin1,2, Charles Marchini1,2, Olawale Salaudeen1, Natalie Ramsy1,5, Davide Boido6, Serge Charpak7, Andrew Webb8, and Luisa Ciobanu6,9
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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