Abstract #2114

A novel free-running framework for Blood Oxygen Level Dependent functional MRI

Benedetta Franceschiello^1,2, Simone Rumac¹, Tom Hilbert^1,3,4, Christopher W. Roy¹, Giulio Degano⁵, Anna Gaglianese¹, Jerome Yerly^1,2, Matthias Stuber^1,2, Tobias Kober^1,3,4, Ruud B. van Heeswijk¹, Micah M. Murray^1,2,6,7, and Eleonora Fornari^1,2,7

¹Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ²CIBM Center for Biomedical Imaging, Lausanne, Switzerland, ³Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, ⁴LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, ⁵Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland, ⁶Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN, United States, ⁷These authors provided equal last-authorship contribution, Lausanne, Switzerland

Synopsis

We demonstrate the efficacy of a new free-running framework for quantitatively measuring blood-oxygen-level-dependent functional MRI (BOLD-fMRI) signals. Whole-brain data were acquired uninterruptedly during a blocked-design ON/OFF visual paradigm (checkerboard vs. grey image). 5-D volumes were reconstructed (i.e. the three spatial dimensions (x,y,z), the trial dimension (N=33), and the ON vs. OFF dimension (N=2)). BOLD-activated regions were measured as the difference between volumes reconstructed from all read-outs acquired during the ON vs. OFF condition, rather than resulting from a canonical, model-based, GLM analysis. The framework enables high temporal T2* k-space sampling and opens up new horizons for BOLD-fMRI.

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