Your audiogram might be missing a hidden type of hearing loss

Your audiogram might be missing a hidden type of hearing loss
Image: Intellect (generated)

In short: An audiogram is the gold standard for mapping your hearing, but it has a blind spot. While it captures the softest sounds you can detect, it often fails to reveal 'hidden hearing loss'—the specific inability to distinguish speech in noisy environments like restaurants.

An audiogram maps your audible threshold across different frequencies (measured in Hertz) and intensities (measured in decibels). It typically uses octaves—doublings of frequency like 500 Hz and 1000 Hz—to plot how well you hear. While the 10 dB increments on the graph appear linear, decibels are actually a logarithmic scale, meaning each 10 dB step represents a significant increase in actual loudness. The graph is weighted against a 'typical' hearing curve, which varies slightly depending on the international standards used by the equipment.

Audiologists use these maps to diagnose three main types of hearing issues: sensorineural (inner ear or nerve damage), conductive (middle ear issues like wax or infections), and mixed. By comparing air conduction (vibrations through the ear canal) to bone conduction (vibrations through the skull), specialists can pinpoint exactly where the signal is failing. For example, a 'conductive' loss shows a gap of at least 15 dB between these two types of tests, whereas 'sensorineural' loss shows both thresholds falling into the atypical range simultaneously.

The most critical nuance is what the audiogram cannot see: synaptopathy. This causes 'hidden hearing loss,' where the hair cells in the cochlea might function well enough to detect soft sounds, but the nerve fibers responsible for processing complex signals in loud environments are damaged. Because audiograms are designed to estimate the softest detectable sounds, they do not reflect the nerve fiber loss that makes a busy restaurant difficult to navigate. To diagnose this, clinicians must look beyond the graph to measures like speech-in-noise perception or frequency following response.

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