ERIC Number: EJ1145942
Record Type: Journal
Publication Date: 2017-May
Abstractor: As Provided
Reference Count: N/A
Muscle Bioenergetic Considerations for Intrinsic Laryngeal Skeletal Muscle Physiology
Sandage, Mary J.; Smith, Audrey G.
Journal of Speech, Language, and Hearing Research, v60 n5 p1254-1263 May 2017
Purpose: Intrinsic laryngeal skeletal muscle bioenergetics, the means by which muscles produce fuel for muscle metabolism, is an understudied aspect of laryngeal physiology with direct implications for voice habilitation and rehabilitation. The purpose of this review is to describe bioenergetic pathways identified in limb skeletal muscle and introduce bioenergetic physiology as a necessary parameter for theoretical models of laryngeal skeletal muscle function. Method: A comprehensive review of the human intrinsic laryngeal skeletal muscle physiology literature was conducted. Findings regarding intrinsic laryngeal muscle fiber complement and muscle metabolism in human models are summarized and exercise physiology methodology is applied to identify probable bioenergetic pathways used for voice function. Results: Intrinsic laryngeal skeletal muscle fibers described in human models support the fast, high-intensity physiological requirements of these muscles for biological functions of airway protection. Inclusion of muscle bioenergetic constructs in theoretical modeling of voice training, detraining, fatigue, and voice loading have been limited. Conclusions: Muscle bioenergetics, a key component for muscle training, detraining, and fatigue models in exercise science, is a little-considered aspect of intrinsic laryngeal skeletal muscle physiology. Partnered with knowledge of occupation-specific voice requirements, application of bioenergetics may inform novel considerations for voice habilitation and rehabilitation.
Descriptors: Physiology, Human Body, Metabolism, Rehabilitation, Voice Disorders, Muscular Strength, Exercise Physiology, Fatigue (Biology)
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Publication Type: Journal Articles; Reports - Research; Information Analyses
Education Level: N/A
Authoring Institution: N/A