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Related Concept Videos

Hearing01:31

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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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Perceiving Loudness, Pitch, and Location01:21

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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
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The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
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The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
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Auditory sensation, commonly called hearing, involves the transformation of sonic waves into neural impulses facilitated by the structures of the auditory organ. The prominent, flesh-like structure on the side of the head, called the auricle, directs sound waves towards the auditory canal. The auricle is often mislabeled as the pinna, a term more aligned with mobile structures like a feline's external ear. The auditory canal penetrates the cranium via the external auditory meatus of the...
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Updated: May 12, 2025

Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
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Tinnitus risk factors and its evolution over time.

Lise Hobeika1,2,3,4, Matt Fillingim5,6, Christophe Tanguay-Sabourin5,7,8

  • 1Université Paris Cité, Institut Pasteur, AP-HP, INSERM, CNRS, Fondation Pour l'Audition, Institut de l'Audition, IHU reConnect, Paris, France. lise.hobeika@gmail.com.

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Summary

Machine learning models identified hearing health as a key factor in tinnitus presence and severity. A simplified questionnaire can now help detect individuals at risk of severe tinnitus for early intervention.

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Area of Science:

  • Audiology
  • Computational Health
  • Psychology

Background:

  • Subjective tinnitus, an auditory perception without external sound, lacks clear risk factors, hindering prevention and management.
  • Understanding tinnitus predictors is crucial for developing effective interventions and improving patient outcomes.

Purpose of the Study:

  • To develop and validate machine learning models for predicting tinnitus presence and severity.
  • To identify key socio-demographic, psychological, and health-related predictors of tinnitus.
  • To create a clinical tool for early identification of individuals at risk of severe tinnitus.

Main Methods:

  • Utilized the UK Biobank dataset (192,993 participants) to train two machine learning models predicting tinnitus presence and severity.
  • Incorporated socio-demographic, psychological, and health-related data as predictors.
  • Validated the tinnitus severity model on an independent dataset from the Tinnitus Research Initiative.

Main Results:

  • Hearing health emerged as the primary risk factor for both tinnitus presence and severity.
  • Psychological factors, including mood, neuroticism, and sleep, significantly predicted tinnitus severity.
  • The severity model demonstrated high accuracy in predicting tinnitus progression over nine years (ROC=0.78).

Conclusions:

  • Machine learning effectively predicts tinnitus presence and severity, highlighting the importance of hearing health and psychological factors.
  • A validated six-item questionnaire can identify individuals at risk of severe tinnitus.
  • Early detection and supportive care are crucial for individuals at risk of developing severe tinnitus.