Evidence map›Paper›PMID 40317624›Full record

ArticleMovement disorders clinical practice2025

Speech Differences between Multiple System Atrophy and Parkinson's Disease.

Tom Hähnel, Anna Nemitz, Katja Schön, Luise Berger, Annemarie Vogel, Doreen Gruber, Nils Schnalke, Stefan Bräuer, Björn H Falkenburger, Florin Gandor

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Movement disorders clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Voice and Speech in Atypical Parkinsonian Disorders.Movement disorders clinical practice · 2026
    Review
  2. Clinical utility of digital technologies in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. 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

10 authors.

Tom HähnelDepartment of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD - Dresden University of Technology, Dresden, Germany.ORCID https://orcid.org/0000-0002-4254-2399
Anna NemitzDepartment of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD - Dresden University of Technology, Dresden, Germany.
Katja SchönMovement Disorders Clinic, Kliniken Beelitz GmbH, Beelitz, Germany.
Luise BergerMovement Disorders Clinic, Kliniken Beelitz GmbH, Beelitz, Germany.
Annemarie VogelMovement Disorders Clinic, Kliniken Beelitz GmbH, Beelitz, Germany.
Doreen GruberMovement Disorders Clinic, Kliniken Beelitz GmbH, Beelitz, Germany.
Nils SchnalkeDepartment of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD - Dresden University of Technology, Dresden, Germany.ORCID https://orcid.org/0000-0002-0870-8105
Stefan BräuerDepartment of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD - Dresden University of Technology, Dresden, Germany.
Björn H FalkenburgerDepartment of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD - Dresden University of Technology, Dresden, Germany.
Florin GandorMovement Disorders Clinic, Kliniken Beelitz GmbH, Beelitz, Germany.ORCID https://orcid.org/0000-0003-2874-9817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelineation of Parkinson's disease (PD) from multiple system atrophy (MSA) can be challenging in early disease stages. Speech characteristics have been studied as digital biomarkers in PD and ataxias. Currently, data on speech in MSA is limited.

objectivesTo determine whether speech characteristics can serve as a digital biomarker to differentiate between MSA and PD.

methodsTwenty-one MSA patients and 23 PD patients underwent a battery of speech assessments: text reading, sustained phonation and diadochokinetic tasks. Speech characteristics were extracted using the software, Praat.

resultsMSA and PD speech can be described by three meaningful factors. MSA speech exhibited more reading pauses, higher pitch variability, prolonged syllables, and a more irregular speech rhythm, allowing differentiation from PD with a ROC-AUC of 0.89. Speech characteristics were correlated with motor impairment and disease severity.

conclusionMSA can be differentiated from PD with good accuracy using speech analysis.

Indexed as

Multiple System AtrophyParkinson DiseaseSpeechSpeech DisordersAgedFemaleHumansMaleMiddle AgedROC Curvedysarthriamultiple system atrophyParkinson's diseasespeechvoice

Identifiers

PMID40317624
PMCPMC12481427

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.