Evidence map›Paper›PMID 39747143›Full record

ArticleScientific reports2024

Non-invasive 4D transcranial functional ultrasound and ultrasound localization microscopy for multimodal imaging of neurovascular response.

Rebecca M Jones, Ryan M DeRuiter, Hanjoo R Lee, Saachi Munot, Hatim Belgharbi, Francisco Santibanez, Oleg V Favorov, Paul A Dayton, Gianmarco F Pinton

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

9 authors.

Rebecca M JonesJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Ryan M DeRuiterJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Hanjoo R LeeJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Saachi MunotDepartment of Applied Physics, Stanford University, Stanford, CA, 94305, USA.
Hatim BelgharbiJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Francisco SantibanezJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Oleg V FavorovJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Paul A DaytonJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Gianmarco F PintonJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA. gfp@unc.edu.

Funding

High Frame Rate 3-D Super Resolution Ultrasound Microvascular ImagingR01CA220681 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAYTON, PAUL A, PINTON, GIANMARCO · 2017 to 2022
$3.0M
A Fully Ultrasonic Approach for Combined Functional Imaging and Neuromodulation in Behaving AnimalsRF1NS113285 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CASKEY, CHARLES F, ORALKAN, OMER · 2019 to 2019
$2.1M
National Health Research Institutes R01-CA220681NCI NIH HHS R01 CA220681NIH HHS RF1-NS113285NINDS NIH HHS RF1 NS113285
6 · The paper itself

Abstract

A long-standing goal of neuroimaging is the non-invasive volumetric assessment of whole brain function and structure at high spatial and temporal resolutions. Functional ultrasound (fUS) and ultrasound localization microscopy (ULM) are rapidly emerging techniques that promise to bring advanced brain imaging and therapy to the clinic with the safety and low-cost advantages associated with ultrasound. fUS has been used to study cerebral hemodynamics at high temporal resolutions while ULM has been used to study cerebral microvascular structure at high spatial resolutions. These two methods have complementary spatio-temporal characteristics, making them ideally suited for multimodal imaging, but both suffer from limitations associated with transcranial ultrasound imaging. Here, these two methods are combined on the same data acquisition, completely non-invasively, using contrast-enhancements, which solves the dual challenges of sensitivity during transcranial imaging and the ability to implement super-resolution. From this combined approach, the cerebral blood flow, activated brain region, brain connectivity, vessel diameter, and vessel velocity were all calculated from the same data acquisition. During stimulation periods, there was a statistically significant (p<0.0001) increase in cerebral blood flow, diameter, and global velocity, but a decrease in velocity in the activated region. Additionally, the global flow increased (p=0.11) and connectivity decreased (24.7%) when compared to baseline. This multimodal approach allows for the study of the relationship between cerebral hemodynamics (30 ms resolution) and the microvasculature (14.6 μm resolution) using one ultrasound scan.

Indexed as

BrainCerebrovascular CirculationMultimodal ImagingAnimalsFemaleHumansMaleMicroscopyNeurovascular CouplingUltrasonographyUltrasonography, Doppler, Transcranial4D imagingFunctional ultrasoundMultimodal imagingNon-invasive transcranial imagingUltrasound Localization Microscopy

Identifiers

PMID39747143
PMCPMC11697013

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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.