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Record W4411070717 · doi:10.14802/jmd.25042

MRI-Guided Focused Ultrasound in Parkinson’s Disease and Essential Tremor: Incisionless but Invasive. A Narrative Review

2025· review· en· W4411070717 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Movement Disorders · 2025
Typereview
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre for Movement Disorders
FundersKing's College LondonParkinson's Foundation
KeywordsMedicineNarrative reviewEssential tremorParkinson's diseaseDiseaseUltrasoundRadiologyMedical physicsPhysical medicine and rehabilitationIntensive care medicinePathology

Abstract

fetched live from OpenAlex

Magnetic resonance-guided focused ultrasound (MRgFUS) is an emerging and promising technology for treating movement disorders, such as essential tremors and tremor-dominant Parkinson's disease. MRgFUS utilizes advanced ultrasound transducer emitters to condense sound waves at a precisely defined point. This technology can target various brain areas, such as the pallidothalamic tract, thalamus, and pallidum, to ameliorate some of the symptoms of Parkinson's disease and other movement disorders, such as dystonic and action-induced tremors. We review the current status of preclinical and clinical trials on the clinical use, treatment outcomes, and indications of MRgFUS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.337
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it