Loading Events

« All Events

  • This event has passed.

Prosem Lecture: Quantifying Hydration in Separate Vocal Fold Tissue Layers Using Magnetic Resonance Imaging

October 1, 2018 @ 12:00 pm - 1:00 pm

Presenter: Renee King, MS, CCC-SLP, PhD Candidate, Department of Communication Sciences and Disorders, Predoctoral Fellow, T32 Voice Research Training Program, Division of Otolaryngology, Department of Surgery, University of Wisconsin-Madison
Topic: Quantifying Hydration in Separate Vocal Fold Tissue Layers Using Magnetic Resonance Imaging

Speech-language pathologists, physicians, and voice teachers commonly recommend that people with voice disorders improve systemic hydration by increasing dietary water intake, avoiding caffeine, and other behavioral changes. Theoretically, increased water content in vocal fold mucosa, specifically the superficial layer of the lamina propria, could result in decreased tissue viscosity and improved ease of vocal fold vibration. However, effects of dietary water on clinical voice outcome measures have been inconsistent. Hydration-induced change within different layers of vocal fold tissue is currently unknown. This is significant because vocal fold mucosa and thyroarytenoid muscle have very different effects on phonation. Proton density weighted magnetic resonance imaging (PD-MRI) is a promising method of noninvasively measuring water content in vocal folds. We used an excised porcine larynx model to validate PD-MRI as a tool to image and quantify water content within separate vocal fold tissue layers after dehydration and rehydration. Scans revealed bright, fluid-rich vocal fold mucosa that was distinct from thyroarytenoid muscle. This presentation will discuss quantitative changes in signal intensity of vocal fold tissues induced by hypertonic, isotonic, and hypotonic solutions, as well as implications for future studies.

Learn more about Prosem.


October 1, 2018
12:00 pm - 1:00 pm
Event Category:


62 Goodnight Hall
1975 Willow Drive
Madison, WI 53706 United States
+ Google Map