Evidence map›Paper›PMID 39755367›Full record

ArticleBrain stimulation

MRI free targeting of deep brain structures based on facial landmarks.

Thomas S Riis, Seth Lunt, Jan Kubanek

Registry-linked trialAbstract read
In one paragraph

Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07361328 (Low-intensity Ultrasonic Neuromodulation for Alleviation of Fibromyalgia Symptoms), which is not on this 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.

NCT07361328 narecruitingnot on this map

Low-intensity Ultrasonic Neuromodulation for Alleviation of Fibromyalgia Symptoms

TypeinterventionalSponsorUniversity of UtahRan2026 to 2028Enrolled50ConditionsFibromyalgia (FM)ArmsLow-intensity ultrasound brain stimulation, Sham (No Treatment)
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

3 authors.

Thomas S RiisDepartment of Biomedical Engineering, 36 S Wasatch Dr, 84112, Salt Lake City, UT, United States. Electronic address: tom.riis@utah.edu.
Seth LuntDepartment of Biomedical Engineering, 36 S Wasatch Dr, 84112, Salt Lake City, UT, United States.
Jan KubanekDepartment of Biomedical Engineering, 36 S Wasatch Dr, 84112, Salt Lake City, UT, United States.

Funding

Noninvasive Targeted NeuromodulationRF1NS128569 · NINDS · UNIVERSITY OF UTAH · PI KUBANEK, JAN · 2022 to 2022
$1.4M
Ultrasonic Neuromodulation: From Mechanism To Optimal ApplicationR00NS100986 · NINDS · UNIVERSITY OF UTAH · PI KUBANEK, JAN · 2019 to 2021
$729k
NINDS NIH HHS R00 NS100986NINDS NIH HHS RF1 NS128569
6 · The paper itself

Abstract

Emerging neurostimulation methods aim to selectively modulate deep brain structures. Guiding these therapies has presented a substantial challenge, since imaging modalities such as MRI limit the spectrum of beneficiaries. In this study, we assess the guidance accuracy of a neuronavigation method that does not require taking MRI scans. The method is based on clearly identifiable anatomical landmarks of each subject's face. We compared this technique to the ideal case, MRI-based nonlinear brain registration, and evaluated the accuracy of both methods across ten targets located in deep brain structures: 7 targets in the anterior cingulate cortex as well as the anterior commissure and posterior commissure. Compared with the ideal case, the average localization error of the MRI-free method was 5.75 ± 2.98 mm (mean ± sd). These findings suggest that this method may provide sufficient compromise between practicality and the accuracy of targeting deep brain structures.

Indexed as

Anatomic LandmarksBrainDeep Brain StimulationFaceNeuronavigationAdultFemaleHumansMagnetic Resonance ImagingMaleDeep brainNeuromodulationNeuronavigation

Identifiers

PMID39755367
PMCPMC11910796

What OpenQuestion holds

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Registered trials

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.