Abstract #0991

Dynamic measurement of concurrent BOLD and brain tissue displacement quantification in vivo at 7T using motion-encoded stimulated-echo EPI

Amelia Strom^1,2, Avery Berman^2,3,4, Timothy G. Reese², Zijing Dong^1,2,5, Klaus Scheffler⁶, Laura D. Lewis^2,7, and Jonathan R. Polimeni^1,2,5

¹Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, ²Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ³Department of Physics, Carleton University, Ottawa, ON, Canada, ⁴University of Ottawa Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada, ⁵Department of Radiology, Harvard Medical School, Boston, MA, United States, ⁶Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ⁷Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States

Synopsis

Keywords: Neurofluids, High-Field MRI, Tissue Characterization, Diffusion Acquisition, fMRI Analysis, Multi-Contrast

Motivation: Understanding the spatiotemporal relationships between blood volume changes, tissue displacement, and CSF flow is important for elucidating brain waste clearance mechanisms, and measuring these compartments concurrently would enable effective analysis.

Goal(s): To demonstrate the feasibility of leveraging both magnitude-valued and phase-valued data to measure BOLD fMRI and tissue motion simultaneously.

Approach: We apply a combination of computer simulations and in vivo imaging with visual stimulation using the Displacement Encoding with Stimulated Echoes (DENSE) pulse sequence.

Results: DENSE magnitude-valued data show significant response to visual stimulation in the visual cortex, while the phase-valued data show typical cardiac-gated motion in both cortex and brainstem.

Impact: BOLD fMRI can be acquired simultaneously with brain tissue displacement quantification using the DENSE pulse sequence, enabling future spatiotemporal analyses of concurrent blood volume changes, tissue displacement, and CSF flow for understanding waste clearance mechanisms.

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