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🪵 The Threshold

Loudness drives decision weights, so OAEs may predict listening-in-noise ability

Properties2
tagsja-picks, causal_relationships, corroborated, xref, category/causal-relationships
aliases@van_dijk_physiology_2016, loc. 5757

2 min read

Loudness drives decision weights, so OAEs may predict listening-in-noise ability

Evidence

Given that loudness varies with SFOAE maxima and minima and that loudness is a strong predictor of listener decision weights, we hypothesized that both SFOAEs and SOAEs may be used to predict individual differences in decision weights in a level discrimination task. As expected, the data showed a significant positive correlation between the level difference of the OAE at the SOAE and non-SOAE frequency and the relative decision weights on level discrimination task of two-tone complex (see Fig. 2 ). Also there was a similar positive correlation with the difference between SFOAE maxima and minima (see Fig. 3 ). The results suggest that OAE levels might be used to predict individual differences in more complex target-in-noise listening tasks, even possibly in the diagnosis of speech understanding in specific noise backgrounds. For clinical applications swept frequency SFOAEs might provide a better measure of cochlear fine structure inasmuch as they are less time consuming than SOAE measurements and provide a clearer indication of regions of threshold microstructure and variations in loudness. — Dijk, Pim van, Physiology, Psychoacoustics and…, 5795 (#expands, via linked claim)

Categorization

  • corroborated: 2 independent passages support this claim
  • XREF: connects to: Otoacoustic emission levels predict individual decision weights in level discrimination tasks — Dijk, Pim van, Physiology, Psychoacoustics and…, 5795; Decision-weight correlations with OAEs do not require detectable spontaneous otoacoustic emissions; Psychoacoustic measures probe efferent function even where OAEs fail

Broader Connections

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