Assessing Laryngeal Neuromotor Activity from Phonation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F25%3A00082386" target="_blank" >RIV/00159816:_____/25:00082386 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/25:00141279 RIV/00216305:26220/26:0198056

Result on the web

<a href="https://www.worldscientific.com/doi/10.1142/S0129065725500297" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0129065725500297</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0129065725500297" target="_blank" >10.1142/S0129065725500297</a>

Result language

angličtina

Original language name

Assessing Laryngeal Neuromotor Activity from Phonation

Original language description

Neurodegenerative motor disorders affect the neuromuscular system challenging daily life and normal activity. Parkinson&apos;s Disease (PD) is among the most prevalent ones, with a large impact and rising prevalence rates. Speech is most affected by PD as far as phonatory and articulatory performance is concerned. Neuromotor activity (NMA) alterations have an impact on larynx muscles responsible for vocal fold adduction and abduction, hampering phonation stability and regularity. The main muscular articulators involved in phonation control are the cricothyroid (tensor) and thyroarytenoid (relaxer) systems, regulated by two distinct direct neuromotor pathways, activated by the precentral gyrus laryngeal control areas. These articulations control the musculus vocalis, directly responsible for regular vocal fold vibration. An indirect estimation of the muscular tension produced by inverse filtering may split into two independent channels, assumed to be the tensor and relaxer neuromotor pathways such as the differential neuromotor activity (DNMA). The amplitude distributions of both DNMA channels allow comparing phonations from PD-affected persons (PDPs) and age-matched healthy control participants (HCPs) with respect to a set of reference mid-age normative participants (RSPs). The comparisons are carried out by Jensen-Shannon distributions of PDP and HCP phonations with respect to those of RSPs. A dataset of 96 phonation samples from participants balanced by gender is used to train a set of decision tree classifiers (DTCs) to distinguish PDP from HCP phonation. The best results from 10-fold cross-validation offered accumulated mismatches of 0.09 and 0.1292 for male and female subsets. The sensitivity, specificity, and accuracy of the classification results when separating PDP from HCP phonatios were 93.33%, 88.23%, and 90.63% (male PDP versus HCP) and 92.86%, 83.33%, and 87.50% (female PDP versus HCP), providing a stratification of PDPs and HCPs by objective disease grading from explainable AI (XAI) methods.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30210 - Clinical neurology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Neural Systems

ISSN

0129-0657

e-ISSN

1793-6462

Volume of the periodical

35

Issue of the periodical within the volume

06

Country of publishing house

US - UNITED STATES

Number of pages

19

Pages from-to

nestránkováno

UT code for WoS article

001488914300001

EID of the result in the Scopus database

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