Abstract #1271

High Temporal Resolution Blood Oxygen Level Dependent functional MRI.

Martyna Dziadosz^1,2,3,4, Tom Hilbert^2,5,6, Jérôme Yerly^2,6, Matthias Stuber^2,6, Matthias Nau⁷, Micah M. Murray^1,2,3,6,8, Eleonora Fornari^2,6, and Bendetta Franceschiello^2,3,4

¹Laboratory for Investigative Neurophysiology (The LINE), Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland, ²Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ³The Sense Innovation and Research Centre, Lausanne and Sion, Switzerland, ⁴Institute of Systems Engineering, School of Engineering, HES-SO Valais-Wallis, Sion, Switzerland, ⁵Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, ⁶CIBM Center for Biomedical Imaging, Lausanne, Switzerland, ⁷Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States, ⁸Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: Brain Connectivity, fMRI (task based), hemodynamic response, high temporal resolution, visual cortexWe demonstrate the feasibility and robustness of a new method to measure blood-oxygen-level-dependent functional MRI(BOLD-fMRI) signals at high temporal resolutions(up to 250ms). Whole-brain data at 1x1x1 mm3 were acquired uninterruptedly during a blocked-design ON/OFF visual paradigm(checkerboard vs. grey image). Images were reconstructed with a 4D x-y-z-t dimensions at 2.5s, 1.0s, 500ms and 250ms temporal resolution, allowing to retrieve the expected %signal change(2%) in visual cortices. We also evaluated the effect of compressed-sensing(CS) application in BOLD-fMRI reconstruction schemes, finding that CS improves the obtained signal in the calcarine sulcus(around 23k(a.u) in pixel intensity of BOLD map TCFE corrected vs 10k(a.u)).

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