Evidence map›Paper›PMID 41517810›Full record

ReviewJournal of clinical neurology (Seoul, Korea)2026

From Ablation to Neuromodulation Platform: The Evolving Role of Magnetic Resonance-Guided Focused Ultrasound in Functional Neurosurgery.

Seongwoo Lee, Jin Woo Chang

Abstract readReview
In one paragraph

Review in Journal of clinical neurology (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Seongwoo LeeDepartment of Neurosurgery, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0004-7917-5782
Jin Woo ChangDepartment of Neurosurgery, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea. JCHANG@yuhs.ac.ORCID https://orcid.org/0000-0002-2717-0101

Funding

NHLBI NIH HHS
6 · The paper itself

Abstract

Magnetic resonance-guided focused ultrasound (MRgFUS) has rapidly evolved from an experimental concept into a versatile platform in functional neurosurgery. Initially pioneered as a noninvasive thermal ablation modality for essential tremor, MRgFUS has since gained regulatory approval and demonstrated durable long-term efficacy. Its clinical applications have expanded to include Parkinson's disease, chronic pain, psychiatric disorders, and investigational use in dystonia, epilepsy, and brain tumors. Beyond lesioning, low-intensity focused ultrasound enables reversible neuromodulation and transient blood-brain barrier opening, facilitating drug and gene delivery in conditions such as Alzheimer's disease and glioblastoma. Comparative analyses highlight MRgFUS as an incisionless alternative to traditional modalities like deep brain stimulation, radiofrequency ablation, and radiosurgery, offering unique advantages in precision, safety, and patient acceptability while retaining certain limitations, including irreversibility and eligibility constraints due to skull properties. Emerging innovations-such as dual-target strategies, staged bilateral procedures, adaptive focusing technologies, and integration with immuno- or gene therapies-are expanding its therapeutic potential. Collectively, these advances position MRgFUS as not only an ablative tool but also a transformative neuromodulation platform with broad implications for the treatment of movement disorders, neuropsychiatric disease, and neurodegeneration.

Indexed as

essential tremorMRgFUSneuromodulationParkinson's diseasesubstance use disorder

Identifiers

PMID41517810
PMCPMC12802061

What OpenQuestion holds

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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.