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Larynx

Larynx

The human larynx, often referred to as the voice box, is an intricate organ located in the neck. It serves as a pathway for air to enter the lungs during respiration and is an essential component of voice production.
Anatomy of the Larynx
The larynx consists of various components, including cartilage, muscles, and vocal cords. Its structure includes three large unpaired cartilages—the thyroid, cricoid, and epiglottis—and three smaller paired cartilages—the arytenoids, corniculates, and...

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Estimating the Pathophysiology of Phonotraumatic Vocal Hyperfunction Using Ambulatory Data and a Computational Model.

Jesús A Parra¹, Emiro J Ibarra¹, Carlos Calvache²

¹Universidad Técnica Federico Santa María, Valparaíso, Chile.

Journal of Speech, Language, and Hearing Research : JSLHR

|February 18, 2025

Summary

This summary is machine-generated.

This study links voice measurements to muscle activity and subglottal pressure in phonotraumatic vocal hyperfunction (PVH). Higher daily phonotrauma scores correlate with specific muscle activation patterns and increased pressure, suggesting vocal effort impacts PVH.

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Area of Science:

Speech and Voice Science
Biomedical Engineering
Otolaryngology

Background:

Phonotraumatic vocal hyperfunction (PVH) is a condition affecting voice production.
Understanding the physiological underpinnings of PVH is crucial for effective management.
Ambulatory voice measurements offer a non-invasive approach to assess vocal function in daily life.

Purpose of the Study:

To estimate muscle activation levels and subglottal pressure (P_S) in patients with PVH using a voice production model.
To analyze variations in these physiological parameters in relation to the Daily Phonotrauma Index (DPI).
To investigate the link between ambulatory voice data and physiological changes in PVH.

Main Methods:

Ambulatory voice data (sound pressure level, spectral tilt) were collected from PVH patients and controls.
A voice production model was used to infer physiological parameters (muscle activation, P_S) from voice data.
Inverse mapping strategies and stochastic sampling were employed to match ambulatory data to model simulations.
A categorical approach assessed the relationship between DPI values and estimated physiological parameters.

Main Results:

Significant differences in spectral tilt (H₁-H₂), sound pressure level (SPL), P_S, and muscle activity (lateral cricoarytenoid - LCA, cricothyroid - CT) were found between PVH and control groups.
Higher DPI values in PVH were associated with increased mean LCA activation, decreased LCA variability, decreased mean CT activation, and increased median P_S.
These findings suggest a correlation between muscle activation patterns, P_S, and the severity of vocal pathology.

Conclusions:

Non-invasive ambulatory voice data can effectively drive voice production modeling to gain insights into PVH pathophysiology.
The study highlights the role of muscle activation and P_S in PVH, potentially driven by vocal effort compensation.
Future research aims to refine the model's predictive power and improve PVH prevention, diagnosis, and treatment.