Evidence map›Paper›PMID 41935191›Full record

ArticleScientific reports2026

Focused ultrasound thalamotomy improves voice tremor in essential tremor: objective insight from artificial intelligence.

Francesca Pistoia, Patrizia Sucapane, Francesco Asci, Gennaro Saporito, Giovanni Costantini, Valerio Cesarini, Giovanni Saggio, Simona Sacco, Antonio Suppa

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Francesca PistoiaDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Patrizia Sucapane *Department of Neurology, San Salvatore Hospital, L'Aquila, Italy.
Francesco Asci *Neurology Unit, Department of Neurosciences and Sensory Organs, AO San Giovanni - Addolorata, Rome, Italy.
Gennaro SaporitoDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Giovanni CostantiniDepartment of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Valerio CesariniDepartment of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Giovanni SaggioDepartment of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Simona SaccoDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Antonio SuppaDepartment of Human Neurosciences, Sapienza University of Rome, Viale dell'Università, 30, 00185, Rome, Italy. antonio.suppa@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of Magnetic Resonance Imaging-guided Focused Ultrasound (MRgFUS) on vocal tremor is largely underexplored. We used artificial intelligence to investigate changes in vocal tremor in ET patients undergoing MRgFUS. Eighty-three controls and ET patients (mean age-SEM 70.0–1.0 years), including 39 patients without and 44 patients with clinically overt voice tremor, were assessed before and 24 h after MRgFUS targeting the ventral intermediate nucleus (Vim). Voice recordings were collected to calculate the receiver operating characteristic (ROC) curves, the likelihood ratios (LRs) for clinical-instrumental correlations, and the oscillatory activity peak by means of artificial intelligence algorithms. We found that before and after Vim-MRgFUS, artificial intelligence discriminated voices in ET and controls objectively with high accuracy. Also, we verified that Vim-MRgFUS improved voice tremor in ET. Moreover, the analysis showed positive correlations between LRs and clinical scores of voice tremor. Lastly, Vim-MRgFUS reduced the 4–6 Hz oscillatory activity peak in ET patients. Therefore, our observations pave the way for objective voice evaluations in ET patients following Vim-MRgFUS, for telemedicine purposes.

Indexed as

Artificial IntelligenceEssential TremorThalamusVoice DisordersAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedVentral Thalamic NucleiVoiceArtificial IntelligenceEssential TremorMagnetic Resonance Imaging-guided Focused UltrasoundTremor FrequencyVoice Tremor

Identifiers

PMID41935191
PMCPMC13212577

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.