What is it about?
Separating etiology (behaviors that contribute to the pathology) from compensation (adaptations used by patients to meet vocal demands) has long been a challenging task in the study of voice disorders. Phonotraumatic vocal hyperfunction (e.g., vocal nodules) is thought to follow a “vicious cycle,” in which individuals modify how they use their voice to meet their vocal demand, but these adjustments can increase mechanical stress on the vocal folds and contribute to increasing severity over time. Using this framework, we examined how differences between patients and controls change as the condition becomes more severe. This approach allowed us to identify which changes remain stable and which increase with severity, providing a way to distinguish behaviors that may contribute to the condition from those that reflect compensation. We found that some aspects of voice use (e.g., higher tendency to speak loudly and taking short vocal breaks) were already present in mild patients and remained similar as severity increased. In contrast, vocal fold closure patterns became progressively more abnormal, reflecting more forceful and abrupt closure in more severe cases. These findings provided empirical evidence that some aspects of voice use may be linked to underlying etiology, while others have a compensatory nature.
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Why is it important?
The findings of this study provide a way to distinguish between voice behaviors that contribute to pathology and those that emerge as adaptations, enabling both to be addressed appropriately in clinical care. By guiding patients to modify harmful behaviors that drive tissue damage while also recognizing and shaping compensatory strategies that support vocal demands, this framework supports more precise, individualized treatment and has the potential to improve outcomes while reducing recurrence.
Perspectives
This study adopted a cross-modality approach, combining laryngeal imaging to classify severity with week-long ambulatory monitoring to capture ecologically valid patterns of vocal function/behavior in daily life. This design made it possible to relate physiological changes to real-world vocal function/behavior. The study was also motivated by the idea that machine learning can be used beyond its conventional role as a screening or diagnostic tool. Here, it was applied as a statistical framework to support hypothesis-driven research and address research questions. I hope this perspective encourages broader use of machine learning in hypothesis-driven research. This study also reflects my interest in understanding voice not just as a set of measurable features, but as a system that adapts over time. What appears abnormal may in some cases, be a necessary adjustment to meet vocal demand.
Hamzeh Ghasemzadeh
University of Central Florida
Read the Original
This page is a summary of: The Effect of Phonotrauma Severity on the Discriminative Power of Different Ambulatory Voice Measures, Journal of Speech Language and Hearing Research, June 2026, American Speech-Language-Hearing Association (ASHA),
DOI: 10.1044/2026_jslhr-25-01032.
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