Evidence map›Paper›PMID 40191025›Full record

ArticleInterface focus2025

Dynamic visualization of brain pulsations using amplified MRI: methodology and applications.

Haribalan Kumar, Mehmet Kurt, Josh McGeown, Paul Condron, Jet Wright, Gonzalo Maso Talou, Joonsung Lee, Itamar Terem, Helen Danesh-Meyer, Eryn Kwon and 1 more

Abstract read
In one paragraph

Article in Interface focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Haribalan KumarGE HealthCare, Tairāwhiti-Gisborne, New Zealand.ORCID https://orcid.org/0000-0002-2929-1169
Mehmet KurtDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Josh McGeownMātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand.
Paul CondronMātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand.
Jet WrightMātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand.ORCID https://orcid.org/0009-0006-3218-6403
Gonzalo Maso TalouAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-5208-992X
Joonsung LeeGE HealthCare, Seoul, South Korea.
Itamar TeremDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Helen Danesh-MeyerMātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand.
Eryn KwonMātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand.
Samantha HoldsworthMātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain pulsatility offers a compelling application in the study of cerebral biomechanics, particularly for mild traumatic brain injury (mTBI) and elevated intracranial pressure (ICP). In this study, we used amplified MRI to quantify brain tissue pulsations. Dynamic mode decomposition (DMD) processing was then applied to provide a spatio-temporal analysis of motion. Four distinct use cases were examined: (i) resting versus exertion-induced heart rate changes, (ii) pre- and post-lumbar puncture (LP), (iii) baseline versus post-brain injury, and (iv) a test-retest case. Results demonstrate that brain tissue motion varies significantly across conditions, with DMD revealing distinct modes and frequencies corresponding to physiological changes. Notably, mTBI showed an increase in pulsatile motion post-injury, while elevated ICP exhibited altered pulsatility patterns post-LP, indicating a potential biomarker for injury and pressure-related changes. This approach offers new insights into physiological and pathological brain pulsatility; however, the study's limited sample size, reliance on retrospective gating and assumptions regarding pulsatile motion highlight the need for larger and more diverse cohorts to confirm these findings. Despite these limitations, our results suggest our dynamical analysis approach could become a valuable tool for assessing intracranial dynamics, with applications in clinical diagnostics and research on neurovascular and neurological conditions.

Indexed as

amplified MRI (aMRI)brain imagingcine MRIcomputer visiondynamic imagingdynamic mode decompositionintracranial pulsatilitymagnetic resonance imagingpulsatile brain motion

Identifiers

PMID40191025
PMCPMC11969185

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.