Evidence map›Paper›PMID 26258122›Full record

ArticleFrontiers in bioengineering and biotechnology2015

Automatic Evaluation of Speech Rhythm Instability and Acceleration in Dysarthrias Associated with Basal Ganglia Dysfunction.

Jan Rusz, Jan Hlavnička, Roman Čmejla, Evžen Růžička

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

21 citing papers in PubMed, 42 citations in OpenAlex.

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  15. The language profile in multiple system atrophy: an exploratory study.Journal of neural transmission (Vienna, Austria : 1996) · 2021
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  18. Understanding speech and swallowing difficulties in individuals with Huntington disease: Validation of the HDQLIFE Speech Difficulties and Swallowing Difficulties Item Banks.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
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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

4 authors at 2 institutions in 1 country.

Jan RuszDepartment of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague , Prague , Czech Republic ; Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague , Prague , Czech Republic.
Jan HlavničkaDepartment of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague , Prague , Czech Republic.
Roman ČmejlaDepartment of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague , Prague , Czech Republic.
Evžen RůžičkaDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague , Prague , Czech Republic.
Czech Technical University in Prague · CZCharles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech rhythm abnormalities are commonly present in patients with different neurodegenerative disorders. These alterations are hypothesized to be a consequence of disruption to the basal ganglia circuitry involving dysfunction of motor planning, programing, and execution, which can be detected by a syllable repetition paradigm. Therefore, the aim of the present study was to design a robust signal processing technique that allows the automatic detection of spectrally distinctive nuclei of syllable vocalizations and to determine speech features that represent rhythm instability (RI) and rhythm acceleration (RA). A further aim was to elucidate specific patterns of dysrhythmia across various neurodegenerative disorders that share disruption of basal ganglia function. Speech samples based on repetition of the syllable /pa/ at a self-determined steady pace were acquired from 109 subjects, including 22 with Parkinson's disease (PD), 11 progressive supranuclear palsy (PSP), 9 multiple system atrophy (MSA), 24 ephedrone-induced parkinsonism (EP), 20 Huntington's disease (HD), and 23 healthy controls. Subsequently, an algorithm for the automatic detection of syllables as well as features representing RI and RA were designed. The proposed detection algorithm was able to correctly identify syllables and remove erroneous detections due to excessive inspiration and non-speech sounds with a very high accuracy of 99.6%. Instability of vocal pace performance was observed in PSP, MSA, EP, and HD groups. Significantly increased pace acceleration was observed only in the PD group. Although not significant, a tendency for pace acceleration was observed also in the PSP and MSA groups. Our findings underline the crucial role of the basal ganglia in the execution and maintenance of automatic speech motor sequences. We envisage the current approach to become the first step toward the development of acoustic technologies allowing automated assessment of rhythm in dysarthrias.

Indexed as

acoustic analysesatypical parkinsonian syndromesdysarthriaHuntington’s diseaseoral festinationParkinson’s diseaserhythmspeech and voice disorders

Identifiers

PMID26258122
PMCPMC4513571
OpenAlexW1593632742

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.