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Biofeedback in dysphonia - progress and challenges.

Geová Oliveira de Amorim1, Patrícia Maria Mendes Balata2, Laís Guimarães Vieira3

  • 1Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil.

Brazilian Journal of Otorhinolaryngology
|October 17, 2017
PubMed
Summary
This summary is machine-generated.

Electromyographic biofeedback shows promise for treating muscle tension dysphonia by altering neural networks for improved vocal quality. Further research is needed to understand the underlying physiological mechanisms.

Keywords:
DisfoniaDysphoniaElectromyography feedbackFeedback de eletromiografiaFonoaudiologiaSpeech therapyVoiceVoz

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Area of Science:

  • Speech and Hearing Sciences
  • Neuroscience
  • Rehabilitation Medicine

Background:

  • The intricate mechanisms of speech production and auditory processing are susceptible to alteration.
  • Vocal disorders, such as muscle tension dysphonia, can significantly impact communication.

Purpose of the Study:

  • To review evidence on biofeedback for vocal disorder treatment, focusing on muscle tension dysphonia.
  • To highlight the application of real-time biofeedback in vocal training and monitoring.

Main Methods:

  • A systematic review of Scielo, Lilacs, PubMed, and Web of Sciences databases was performed.
  • Inclusion criteria focused on peer-reviewed articles detailing biofeedback for muscle tension dysphonia or vocal training.

Main Results:

  • Seven studies were included from an initial 33 identified.
  • Electromyographic biofeedback demonstrated positive outcomes for muscle tension dysphonia, though physiological evidence was limited.
  • Research has branched into refining biofeedback methodology and investigating neural processes.

Conclusions:

  • Electromyographic biofeedback appears to induce changes in speech-related neural networks.
  • This technique holds potential for improving vocal emission quality in patients with vocal disorders.