Fine-structure depths predict decision weights independently of spontaneous emissions
Evidence
The SFOAEs levels obtained at the beginning of the session are associated with the decision weights from the first half of the behavioural trials (filled symbols), and those at the end of session are associated with the decision weights from the second half of the behavioural trials (open symbols). The correlation between the relative decision weight and the level difference between tones near fine-structure maxima and tones near minima is statistically significant (r2 = 0.48, p = 0.000014). This outcome suggests that the association between decision weights and OAEs does not depend on detection of SOAEs. — Dijk, Pim van, Physiology, Psychoacoustics and…, 5757
Categorization
Category: Factual Claims
- XREF: Shows SFOAE fine structure carries the predictive power even without detectable SOAEs, supporting swept SFOAEs as the more clinically useful measure.
Related
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- Behavioral decision weights track cochlear fine-structure depth independent of spontaneous emissions (similarity 0.88)
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- Cochlear emission fine structure may predict individual listening performance (similarity 0.83)
- Cochlear threshold microstructure shapes loudness, which drives hearing decisions (similarity 0.82)
- Cochlear irregularity measured via otoacoustic emissions could predict individual listening decision weights (similarity 0.82)
- Spontaneous otoacoustic emissions cluster near SFOAE fine-structure maxima but remain undetectable there. (similarity 0.81)
- Otoacoustic emission levels predict individual decision weights in level discrimination tasks (similarity 0.80)
- Loudness drives decision weights, so OAEs may predict listening-in-noise ability (similarity 0.80)
- Otoacoustic emission levels predict which tones listeners weight more heavily (similarity 0.79)
- Spontaneous otoacoustic emissions align with peaks in stimulus-frequency fine structure (similarity 0.79)
- SFOAE fine structure shows individual maxima-minima dips up to 30 dB (similarity 0.79)
- The loudness near emission peaks predicts which frequencies listeners weight (similarity 0.78)
- Loudness perception strongly shapes the decision weights listeners assign to sound components (similarity 0.78)