bioRxivNeurosciencePreprint
Quantification of cardiac-locked brainstem velocity at high resolution based on retrospectively-gated DENSE MRI at 7T
Amelia StromiD, Zijing DongiD, Timothy G. ReeseiD, Laura D. LewisiD, Jon̈athan R. PolimeniiD
Abstract
PurposeThe motion of the brain tissue within the skull is thought to be induced by cardiac pulsations and other hemodynamic processes and may influence CSF flow, but its precise drivers and downstream effects are unclear. Understanding these phenomena requires an accurate and precise method of tissue motion quantification that can be extended to investigate multiple potential drivers of tissue motion in vivo. MethodsHere, a version of the Displacement ENcoding with Stimulated Echoes (DENSE) pulse sequence was implemented to measure cardiac-locked velocity responses in the pons and midbrain in eight healthy volunteers. The method featured retrospective cardiac gating, a single mixing time, and measured multiple voxel sizes. ResultsA previously undescribed double-peak pattern of cardiac-locked longitudinally directed brainstem velocity was identified that appears to reflect both nonrigid and rigid motion components. This pattern was only visible when estimating the cardiac response using absolute time after systole instead of the percentage of the cardiac cycle. Measurements were performed in a custom-built slow-flow phantom, and repeat sessions were acquired in two volunteers to assess accuracy and precision. Despite potential increased influence of CSF motion with larger voxel sizes, no voxel-size-dependent bias was found in the velocity estimations. Lack of voxel size bias was attributed to the complexities of partial-volume effects between CSF and tissue in phase-valued data that were evaluated using numerical simulations. ConclusionIn sum, a method to measure brain tissue motion with high spatiotemporal precision is presented that can be extended to applications beyond measuring cardiac-locked motion.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Measuring brain beats: cardiac-aligned fast fMRI signals
Dora Hermes, Hua Wu, … Brian Arie Wandell·Human Brain MappingPeer-reviewed·Oct 29, 2022
- Assessing the feasibility of a new approach to measure the full spectrum of CSF dynamics within the human brain using MRI: insights from a simulation study
Elisabeth C. van der Voort, Merlijn C. E. van der Plas, Jaco J.M. Zwanenburg·bioRxiv·Nov 28, 2024
- Single-shot simultaneous BOLD and velocity-encoding MRI for functional and slow-flow imaging
Mark Widmaier, Tzu-Hao Harry Chao, … Wei‐Tang Chang·bioRxiv·Aug 11, 2026
- Quantifying cardiac, respiratory, and slow vasomotion components of CSF motion from fMRI inflow effects
Pontus Söderström, Cecilia Björnfot, … Anders Wåhlin·Magnetic Resonance in MedicinePeer-reviewed·May 17, 2026
- Quantifying brain-wide cerebrospinal fluid flow dynamics using slow-flow-sensitized phase-contrast MRI
Zijing Dong, Fuyixue Wang, … Jon̈athan R. Polimeni·bioRxiv·Mar 22, 2025
- Sleep increases propagation speed of physiological brain pulsations
Ahmed Elabasy, Heta Helakari, … Vesa J. Kiviniemi·bioRxiv·Jan 9, 2025