Amelia Strom 1,2, Divya Varadarajan, Laura Lewis2,3,4, Jonathan R Polimeni5,6
1Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, United States of America
2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
3Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, United States of America
4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, United States of America
5Richard M. Lucas Center for Imaging, Stanford University, Stanford, United States of America
6Department of Radiology, Stanford Medicine, Stanford, United States of America
Presenting Author: Amelia Strom
Synopsis
Motivation:
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1. Iliff JJ, Wang M, Liao Y, et al. A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci Transl Med. 2012;4(147):147ra111. doi:10.1126/scitranslmed.3003748 [doi]
2. Benveniste H, Lee H, Ozturk B, et al. Glymphatic Cerebrospinal Fluid and Solute Transport Quantified by MRI and PET Imaging. Neuroscience. 2021;474:63-79. doi:10.1016/j.neuroscience.2020.11.014 [doi]
3. van Osch MJP, Wåhlin A, Scheyhing P, et al. Human brain clearance imaging: Pathways taken by magnetic resonance imaging contrast agents after administration in cerebrospinal fluid and blood. NMR Biomed. 2024;37(9):e5159. doi:10.1002/nbm.5159 [doi]
4. Feinberg DA, Mark AS. Human Brain Motion and Cerebrospinal Fluid Circulation Demonstrated with MR Velocity Imaging. Radiology. 1987;163:793-799.
5. Nitz WR, Bradley WG Jr, Watanabe AS, et al. Flow dynamics of cerebrospinal fluid: assessment with phase-contrast velocity MR imaging performed with retrospective cardiac gating. Radiology. 1992;183(2):395-405. doi:10.1148/radiology.183.2.1561340 [doi]
6. Stadlbauer A, Salomonowitz E, van der Riet W, Buchfelder M, Ganslandt O. Insight into the patterns of cerebrospinal fluid flow in the human ventricular system using MR velocity mapping. Neuroimage. 2010;51(1):42-52. doi:10.1016/j.neuroimage.2010.01.110 [doi]
7. van der Voort EC, van der Plas MCE, Zwanenburg JJM. Assessing the feasibility of a new approach to measure the full spectrum of cerebrospinal fluid dynamics within the human brain using MRI: insights from a simulation study. Interface Focus. 2025;15(1). doi:10.1098/rsfs.2024.0048 [doi]
8. Gupta S, Soellinger M, Boesiger P, Poulikakos D, Kurtcuoglu V. Three-dimensional computational modeling of subject-specific cerebrospinal fluid flow in the subarachnoid space. J Biomech Eng. 2009;131(2):021010. doi:10.1115/1.3005171 [doi]
9. Enzmann DR, Pelc NJ. Normal flow patterns of intracranial and spinal cerebrospinal fluid defined with phase-contrast cine MR imaging. Radiology. 1991;178(2):467-474. doi:10.1148/radiology.178.2.1987610 [doi]
10. Dong Z, Wang F, Strom AK, et al. Quantifying brain-wide cerebrospinal fluid flow dynamics using slow-flow-sensitized phase-contrast MRI. bioRxiv. 2025. doi:10.1101/2025.03.22.644745 [doi]
11. Rivera-Rivera LA, Vikner T, Eisenmenger L, Johnson SC, Johnson KM. Four-dimensional flow MRI for quantitative assessment of cerebrospinal fluid dynamics: Status and opportunities. NMR Biomed. 2024;37(7):e5082. doi:10.1002/nbm.5082 [doi]
12. Chen D, Wang F, Polimeni J, Dong Z, Lewis L. Cerebrospinal fluid flow is locked to spontaneous BOLD signal fluctuations in the subarachnoid space and ventricles. In: ISMRM Annual Meeting; 2025. doi:10.58530/2025/4735 [doi]
13. Strom A, Berman A, Reese TG, et al. Dynamic measurement of concurrent BOLD and brain tissue displacement quantification in vivo at 7T using motion-encoded stimulated-echo EPI. In: ISMRM Annual Meeting; 2024.
15. Lagerstrand KM, Lehmann H, Starck G, Vikhoff-Baaz B, Ekholm S, Forssell-Aronsson E. Method to correct for the effects of limited spatial resolution in phase-contrast flow MRI measurements. Magn Reson Med. 2002;48(5):883-889. doi:10.1002/mrm.10288 [doi]
16. Hoogeveen RM, Bakker CJ, Viergever MA. MR phase-contrast flow measurement with limited spatial resolution in small vessels: value of model-based image analysis. Magn Reson Med. 1999;41(3):520-528. doi:10.1002/(sici)1522-2594(199903)41:3<520::aid-mrm14>3.0.co;2-a [doi]
17. Zong X, Lin W. Quantitative phase contrast MRI of penetrating arteries in centrum semiovale at 7T. Neuroimage. 2019;195:463-474. doi:10.1016/j.neuroimage.2019.03.059 [doi]
18. Hamilton CA. Correction of partial volume inaccuracies in quantitative phase contrast MR angiography. Magn Reson Imaging. 1994;12(7):1127-1130. doi:10.1016/0730-725x(94)91245-r [doi]
19. Strom A, Reese TG, Lewis L, Polimeni JR. Quantification of cerebral cortical displacement driven by visual stimulation using motion-encoded stimulated-echo EPI at 7T. In: ISMRM Annual Meeting; 2025. doi:10.58530/2025/1011 [doi]
20. Hirschler L, Runderkamp BA, Decker A, et al. Region-specific drivers of CSF mobility measured with MRI in humans. Nat Neurosci. Published online October 14, 2025:1-10. doi:10.1038/s41593-025-02073-3 [doi]
21. Varadarajan D, Hu Z, Gomez D, et al. Separating vessel diameter, blood velocity and oxygenation responses to activation: joint magnitude-phase analysis of phase-contrast fMRA. In: ISMRM Annual Meeting; 2025. doi:10.58530/2025/1439 [doi]
22. Greve DN, Salat DH, Bowen SL, et al. Different partial volume correction methods lead to different conclusions: An (18)F-FDG-PET study of aging. Neuroimage. 2016;132:334-343. doi:10.1016/j.neuroimage.2016.02.042 [doi]
23. Choi HS, Haynor DR, Kim Y. Partial volume tissue classification of multichannel magnetic resonance images-a mixel model. IEEE Trans Med Imaging. 1991;10(3):395-407. doi:10.1109/42.97590 [doi]
24. Pahlavian SH, Oshinski J, Zhong X, Loth F, Amini R. Regional Quantification of Brain Tissue Strain Using Displacement-Encoding With Stimulated Echoes Magnetic Resonance Imaging. J Biomech Eng. 2018;140(8). doi:10.1115/1.4040227 [doi]
25. Strom A, Reese TG, Dong Z, Ashenagar B, Lewis LD, Polimeni JR. Effects of spatial resolution on brain tissue displacement estimates based on DENSE MRI at 7T. In: ISMRM Annual Meeting; 2023.
26. Soellinger M, Rutz AK, Kozerke S, Boesiger P. 3D cine displacement-encoded MRI of pulsatile brain motion: 3D DENSE Brain Motion. Magn Reson Med. 2009;61(1):153-162. doi:10.1002/mrm.21802 [doi]
27. Spijkerman JM, Petersen ET, Hendrikse J, Luijten P, Zwanenburg JJM. T 2 mapping of cerebrospinal fluid: 3 T versus 7 T. MAGMA. 2018;31(3):415-424. doi:10.1007/s10334-017-0659-3 [doi]
28. Uludağ K, Müller-Bierl B, Uğurbil K. An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging. Neuroimage. 2009;48(1):150-165. doi:10.1016/j.neuroimage.2009.05.051 [doi]