Αρχειοθήκη ιστολογίου

Αλέξανδρος Γ. Σφακιανάκης
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5
Άγιος Νικόλαος Κρήτη 72100
2841026182
6032607174

Σάββατο 19 Αυγούστου 2017

Biofeedback in dysphonia – progress and challenges

Publication date: Available online 19 August 2017
Source:Brazilian Journal of Otorhinolaryngology
Author(s): Geová Oliveira de Amorim, Patrícia Maria Mendes Balata, Laís Guimarães Vieira, Thaís Moura, Hilton Justino da Silva
IntroductionThere is evidence that all the complex machinery involved in speech acts along with the auditory system, and their adjustments can be altered.ObjectiveTo present the evidence of biofeedback application for treatment of vocal disorders, emphasizing the muscle tension dysphonia.MethodsA systematic review was conducted in Scielo, Lilacs, PubMed and Web of Sciences databases, using the combination of descriptors, and admitting as inclusion criteria: articles published in journals with editorial committee, reporting cases or experimental or quasi-experimental research on the use of biofeedback in real time as additional source of treatment monitoring of muscle tension dysphonia or for vocal training.ResultsThirty-three articles were identified in databases, and seven were included in the qualitative synthesis. The beginning of electromyographic biofeedback studies applied to speech therapy were promising and pointed to a new method that enabled good results in muscle tension dysphonia. Nonetheless, the discussion of the results lacked physiological evidence that could serve as their basis. The search for such explanations has become a challenge for speech therapists, and determined two research lines: one dedicated to the improvement of the electromyographic biofeedback methodology for voice disorders, to reduce confounding variables, and the other dedicated to the research of neural processes involved in changing the muscle engram of normal and dysphonic patients.ConclusionThere is evidence that the electromyographic biofeedback promotes changes in the neural networks responsible for speech, and can change behavior for vocal emissions with quality.



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