Evidence map›Paper›PMID 40326562›Full record

ArticleMagnetic resonance in medicine2025

Optimization of MR acoustic radiation force imaging (MR-ARFI) for human transcranial focused ultrasound.

Morteza Mohammadjavadi, Ryan T Ash, Gary H Glover, Kim Butts Pauly

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Magnetic Resonance Acoustic Radiation Force Imaging (MR-ARFI).Journal of magnetic resonance imaging : JMRI · 2025
    Review
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Morteza MohammadjavadiDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0009-0005-6478-8022
Ryan T AshDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA.
Gary H GloverDepartment of Radiology, Stanford University, Stanford, California, USA.
Kim Butts PaulyDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

Step 1 in Designing Appropriate Shams and Controls in Human TUSR01MH131684 · NIMH · STANFORD UNIVERSITY · PI Kim Butts Pauly · 2023 to 2026
$2.6M
CRCNS: Crossbeam Transcranial Ultrasound Technology to Stimulate the Deep BrainR01EB032743 · NIBIB · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2021 to 2023
$520k
National Institutes of Health in the United States NIH EB032743National Institutes of Health in the United States NIH MH131684NIBIB NIH HHS R01 EB032743NIMH NIH HHS R01 MH131684
6 · The paper itself

Abstract

purposeMR acoustic radiation force imaging (MR-ARFI) is an exceptionally promising technique to non-invasively confirm targeting accuracy and estimate exposure of low-intensity transcranial focused ultrasound applications. Implementing MR-ARFI in the human brain has been hindered by (1) sensitivity to subject motion, and (2) insufficient SNR at low (<1.0 MPa) ultrasound pressures. The purpose of this study was to optimize human MR-ARFI to allow reduced ultrasound exposure while at the same time being robust to bulk and physiological motion.

methodsWe developed a novel timeseries approach to MR-ARFI with a single-shot spiral-out MRI sequence and correction for respiratory and cardiac motion artifacts. An MR-compatible four-element 500 kHz focused ultrasound transducer was coupled to the head and targeted to 60 mm depth in five participants. During spiral scans, two 6 ms focused ultrasound pulses (0.5-0.9 MPa in situ) were delivered in on-off blocks of 25 time frames.

resultsOur method generates ARFI maps that with correction are largely immune to bulk and pulsatile brain motion with reduced scan time (80 s per acquisition). Robust ARFI signals were observed at the expected target in four human participants, using low intensity ultrasound that does not produce significant tissue heating, confirmed both by simulation and MR thermometry.

conclusionSingle shot spiral MR-ARFI is motion robust in human applications, provides reduction in ultrasound exposure, and reduced scan time, enabling iteration for image-guided targeting. This provide persuasive proof-of-principle that MR-ARFI can be used as a tool to guide ultrasound-based precision neural circuit therapeutics.

Indexed as

BrainElasticity Imaging TechniquesImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsArtifactsFemaleHumansMaleMotionSignal-To-Noise RatioTransducersmotion artifactMR‐ARFIMR‐guided focused ultrasoundneuromodulationsingle‐shot spiral pulse sequencetranscranial ultrasound stimulation

Identifiers

PMID40326562
PMCPMC12436201

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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.