Evidence map›Paper›PMID 37928137›Full record

ArticleFrontiers in neurology2023

Effects of deep brain stimulation of the subthalamic nucleus on patients with Parkinson's disease: a machine-learning voice analysis.

Antonio Suppa, Francesco Asci, Giovanni Costantini, Francesco Bove, Carla Piano, Francesca Pistoia, Rocco Cerroni, Livia Brusa, Valerio Cesarini, Sara Pietracupa and 12 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Applications of Artificial Intelligence in Neurological Voice Disorders.World journal of otorhinolaryngology - head and neck surgery · 2025
    Review
  5. 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

22 authors at 9 institutions in 1 country.

Antonio Suppa *Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Francesco Asci *Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Giovanni Costantini *Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Francesco Bove *Neurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Carla PianoNeurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Francesca PistoiaDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Coppito, AQ, Italy.
Rocco CerroniDepartment of System Medicine, University of Rome Tor Vergata, Rome, Italy.
Livia BrusaNeurology Unit, S. Eugenio Hospital, Rome, Italy.
Valerio CesariniDepartment of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Sara PietracupaDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Nicola ModugnoIRCCS Neuromed Institute, Pozzilli, IS, Italy.
Alessandro ZampognaDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Patrizia SucapaneNeurology Unit, San Salvatore Hospital, Coppito, AQ, Italy.
Mariangela PierantozziDepartment of System Medicine, University of Rome Tor Vergata, Rome, Italy.
Tommaso TufoNeurosurgery Unit, Policlinico A. Gemelli University Hospital Foundation IRCSS, Rome, Italy.
Antonio PisaniDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Antonella PeppeIRCSS Fondazione Santa Lucia, Rome, Italy.
Alessandro StefaniDepartment of System Medicine, University of Rome Tor Vergata, Rome, Italy.
Paolo CalabresiNeurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Anna Rita BentivoglioNeurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Giovanni SaggioDepartment of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
Lazio DBS Study Group
University of Rome Tor Vergata · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITSapienza University of Rome · ITAgostino Gemelli University Polyclinic · ITIstituto Neurologico Mediterraneo · ITSan Salvatore Hospital · ITFondazione Santa Lucia · ITSt. Eugenio Hospital · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Deep brain stimulation of the subthalamic nucleus (STN-DBS) can exert relevant effects on the voice of patients with Parkinson's disease (PD). In this study, we used artificial intelligence to objectively analyze the voices of PD patients with STN-DBS. Materials and methods: In a cross-sectional study, we enrolled 108 controls and 101 patients with PD. The cohort of PD was divided into two groups: the first group included 50 patients with STN-DBS, and the second group included 51 patients receiving the best medical treatment. The voices were clinically evaluated using the Unified Parkinson's Disease Rating Scale part-III subitem for voice (UPDRS-III-v). We recorded and then analyzed voices using specific machine-learning algorithms. The likelihood ratio (LR) was also calculated as an objective measure for clinical-instrumental correlations. Results: Clinically, voice impairment was greater in STN-DBS patients than in those who received oral treatment. Using machine learning, we objectively and accurately distinguished between the voices of STN-DBS patients and those under oral treatments. We also found significant clinical-instrumental correlations since the greater the LRs, the higher the UPDRS-III-v scores. Discussion: STN-DBS deteriorates speech in patients with PD, as objectively demonstrated by machine-learning voice analysis.

Indexed as

deep brain stimulationmachine-learningParkinson's diseasesubthalamic nucleusvoice analysis

Identifiers

PMID37928137
PMCPMC10622670
OpenAlexW4387817136

What OpenQuestion holds

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LicenceCC BY
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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.