Evidence map›Paper›PMID 36379960›Full record

ArticleScientific reports2022

Transcranial ultrasound neuromodulation of the thalamic visual pathway in a large animal model and the dose-response relationship with MR-ARFI.

Morteza Mohammadjavadi, Ryan T Ash, Ningrui Li, Pooja Gaur, Jan Kubanek, Yamil Saenz, Gary H Glover, Gerald R Popelka, Anthoney M Norcia, Kim Butts Pauly

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

20 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
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  5. Article
  6. Review
  7. Review
  8. Tiletamine-Zolazepam for Total Intravenous Anesthesia in Sheep.Journal of the American Association for Laboratory Animal Science : JAALAS · 2025
    Article
  9. Article
  10. Article
  11. Magnetic Resonance Acoustic Radiation Force Imaging (MR-ARFI).Journal of magnetic resonance imaging : JMRI · 2025
    Review
  12. Article
  13. Review
  14. Focal Volume, Acoustic Radiation Force, and Strain in Two-Transducer Regimes.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
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  20. Review
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

10 authors at 2 institutions in 1 country.

Morteza MohammadjavadiDepartment of Radiology, Stanford University, Stanford, CA, USA.
Ryan T AshDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Ningrui LiDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Pooja GaurDepartment of Radiology, Stanford University, Stanford, CA, USA.
Jan KubanekDepartment of Biomedical Engineering, The University of Utah, Salt Lake City, Utah, USA.
Yamil SaenzDepartment of Radiology, Stanford University, Stanford, CA, USA.
Gary H GloverDepartment of Radiology, Stanford University, Stanford, CA, USA.
Gerald R PopelkaDepartment of Radiology, Stanford University, Stanford, CA, USA.
Anthoney M NorciaDepartment of Psychology, Stanford University, Stanford, CA, USA.
Kim Butts PaulyDepartment of Radiology, Stanford University, Stanford, CA, USA. kimbutts@stanford.edu.
Stanford University · USUniversity of Utah · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Neurostimulation by Ultrasound: Physical, Biophysical, and Neural MechanismsR01NS112152 · NINDS · STANFORD UNIVERSITY · PI BACCUS, STEPHEN A, BUTTS-PAULY, KIM · 2020 to 2024
$4.9M
Neurostimulation by Ultrasound: Physical, Biophysical and Neural MechanismsR01EB019005 · NIBIB · STANFORD UNIVERSITY · PI BACCUS, STEPHEN A, BUTTS-PAULY, KIM · 2014 to 2017
$2.8M
MR-guided Focused Ultrasound Neuromodulation of Deep Brain StructuresR01MH111825 · NIMH · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2016 to 2019
$1.6M
NCI NIH HHS P30 CA124435NIBIB NIH HHS R01 EB019005NIMH NIH HHS R01 MH111825NINDS NIH HHS R01 NS112152
6 · The paper itself

Abstract

Neuromodulation of deep brain structures via transcranial ultrasound stimulation (TUS) is a promising, but still elusive approach to non-invasive treatment of brain disorders. The purpose of this study was to confirm that MR-guided TUS of the lateral geniculate nucleus (LGN) can modulate visual evoked potentials (VEPs) in the intact large animal; and to study the impact on cortical brain oscillations. The LGN on one side was identified with T2-weighted MRI in sheep (all male, n = 9). MR acoustic radiation force imaging (MR-ARFI) was used to confirm localization of the targeted area in the brain. Electroencephalographic (EEG) signals were recorded, and the visual evoked potential (VEP) peak-to-peak amplitude (N70 and P100) was calculated for each trial. Time-frequency spectral analysis was performed to elucidate the effect of TUS on cortical brain dynamics. The VEP peak-to-peak amplitude was reversibly suppressed relative to baseline during TUS. Dynamic spectral analysis demonstrated a change in cortical oscillations when TUS is paired with visual sensory input. Sonication-associated microscopic displacements, as measured by MR-ARFI, correlated with the TUS-mediated suppression of visual evoked activity. TUS non-invasively delivered to LGN can neuromodulate visual activity and oscillatory dynamics in large mammalian brains.

Indexed as

Evoked Potentials, VisualVisual PathwaysAnimalsMagnetic Resonance ImagingMaleMammalsModels, AnimalSheepUltrasonography

Identifiers

PMID36379960
PMCPMC9666449
OpenAlexW4309437155

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.