Evidence map›Paper›PMID 36937510›Full record

ArticleFrontiers in neurology2023

Multilingual evaluation of interpretable biomarkers to represent language and speech patterns in Parkinson's disease.

Anna Favaro, Laureano Moro-Velázquez, Ankur Butala, Chelsie Motley, Tianyu Cao, Robert David Stevens, Jesús Villalba, Najim Dehak

Open access · goldFull text read
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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 36 citations in OpenAlex.

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  8. A cross-language speech model for detection of Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Article
  9. Article
  10. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Review
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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

8 authors at 1 institution in 1 country.

Anna FavaroDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, United States.
Laureano Moro-VelázquezDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, United States.
Ankur ButalaDepartment of Neurology, The Johns Hopkins University, Baltimore, MD, United States.
Chelsie MotleyDepartment of Neurology, The Johns Hopkins University, Baltimore, MD, United States.
Tianyu CaoDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, United States.
Robert David StevensDepartment of Anesthesiology and Critical Care, The Johns Hopkins University, Baltimore, MD, United States.
Jesús VillalbaDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, United States.
Najim DehakDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, United States.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor impairments are only one aspect of Parkinson's disease (PD), which also include cognitive and linguistic impairments. Speech-derived interpretable biomarkers may help clinicians diagnose PD at earlier stages and monitor the disorder's evolution over time. This study focuses on the multilingual evaluation of a composite array of biomarkers that facilitate PD evaluation from speech. Hypokinetic dysarthria, a motor speech disorder associated with PD, has been extensively analyzed in previously published studies on automatic PD evaluation, with a relative lack of inquiry into language and task variability. In this study, we explore certain acoustic, linguistic, and cognitive information encoded within the speech of several cohorts with PD. A total of 24 biomarkers were analyzed from American English, Italian, Castilian Spanish, Colombian Spanish, German, and Czech by conducting a statistical analysis to evaluate which biomarkers best differentiate people with PD from healthy participants. The study leverages conceptual

Indexed as

cognitioncorrelation analysisinterpretable biomarkerslanguagemultilingual evaluationParkinson's diseasespeechstatistical analysis

Identifiers

PMID36937510
PMCPMC10017962
OpenAlexW4322772975

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.