Evidence map›Paper›PMID 42465251›Full record

ArticlebioRxiv : the preprint server for biology2026

Quantification of cardiac-locked brainstem velocity at high resolution based on retrospectively-gated DENSE MRI at 7T.

Amelia Strom, Zijing Dong, Timothy G Reese, Laura D Lewis, Jonathan R Polimeni

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Amelia StromHarvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0001-9049-8911
Zijing DongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-9334-0968
Timothy G ReeseAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Laura D LewisAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Jonathan R PolimeniHarvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Funding

Viral Tool Development Core: Visualization and manipulation of brain fluid dynamics by recombinant viral vectorsU19NS128613 · NINDS · UNIVERSITY OF ROCHESTER · PI Laura Diane Lewis · 2022 to 2026
$13.6M
Project 4U19NS123717 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DEVOR, ANNA · 2021 to 2025
$13.4M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution: Administrative SupplementR01EB019437 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO, SETSOMPOP, KAWIN · 2015 to 2024
$5.5M
Neuroimaging the impact of respiration and respiratory-gated neuromodulation on human glymphatic physiologyR01AT011429 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI Laura Diane Lewis · 2021 to 2026
$3.7M
Advancing fMRI Acquisition through Dissemination of EPTI- An Efficient Distortion-Free Multi-Contrast Imaging TechnologyU24NS129893 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Fuyixue Wang · 2023 to 2026
$2.6M
System Upgrade for Siemens 7T Human MRI SystemS10OD023637 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2017 to 2017
$2.0M
Developing next-generation imaging technologies for in-vivo mesoscale diffusion MRI and microstructure imagingR01EB036507 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Fuyixue Wang · 2025 to 2026
$1.3M
Imaging brain-wide subarachnoid and perivascular cerebrospinal fluid flow in aging and Alzheimer's diseaseR00AG083056 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Zijing Dong · 2025 to 2026
$493k
In Vivo Measurement of Human Brain Tissue, Blood, and CSF Dynamics Supporting Glymphatic FunctionF31NS141336 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Amelia Strom · 2025 to 2026
$100k
NCCIH NIH HHS R01 AT011429NIA NIH HHS R00 AG083056NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB019437NIBIB NIH HHS R01 EB036507NIH HHS S10 OD023637NINDS NIH HHS F31 NS141336NINDS NIH HHS U19 NS123717NINDS NIH HHS U19 NS128613NINDS NIH HHS U24 NS129893
6 · The paper itself

Abstract

Purpose: The 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 Methods: Here, 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. Results: A 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. Conclusion: In 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.

Indexed as

BrainCardiac pulsationGlymphaticsTissue displacementVelocity encodingWaste clearance

Identifiers

PMID42465251
PMCPMC13371101

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.