A novel free-running framework for Blood Oxygen Level Dependent functional MRI
Benedetta Franceschiello1,2, Simone Rumac1, Tom Hilbert1,3,4, Christopher W. Roy1, Giulio Degano5, Anna Gaglianese1, Jerome Yerly1,2, Matthias Stuber1,2, Tobias Kober1,3,4, Ruud B. van Heeswijk1, Micah M. Murray1,2,6,7, and Eleonora Fornari1,2,7
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
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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