Time-frequency distributions of click-evoked otoacoustic emissions

Tognola, Gabriella; Grandori, F.; Ravazzani, Paolo

doi:10.1016/s0378-5955(97)00007-5

Cited by 116 publications

(132 citation statements)

References 37 publications

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“…Data from preterm infants were measured at different wks post-conception. For both populations, it is possible to note the typical trend of greater latencies for lower frequencies, as already observed in the CEOAEs of adults [2]. …”

supporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

“…When a broad-band stimulus (such as a click) is used, the corresponding emission response shows spectra with several dominant frequencies with different onset times and damping, resulting in a OAE with a complex waveform. Analysis of the time-frequency properties of CEOAEs is of considerable interest due to their close relation with cochlear mechanism [2].Because of the strict relation to active cochlear mechanism, the analysis of morphological changes in the OAEs of preterm infants during the first weeks after birth is a noninvasive and simple way to characterize the developmental changes of cochlear active processes.In this study, CEOAEs of preterms were analyzed by means of a time-frequency technique -the wavelet transform -in order to characterize and quantify the changes in their time-frequency patterns and to compare our findings with previous physiological findings. …”

mentioning

confidence: 99%

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Cochlear maturation and otoacoustic emissions in preterm infants: a time–frequency approach

et al. 2005

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supporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Cochlear maturation and otoacoustic emissions in preterm infants: a time–frequency approach

et al. 2005

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“…Wavelet analysis has been applied to decompose OAE signals into timefrequency components because of its good balance between frequency and time resolution (Tognola et al 1997;Wit et al 1994). The mother wavelet was defined as follows:…”

Section: Measurement Of Swept-tone Oaesmentioning

confidence: 99%

Relation Between Cochlear Mechanics and Performance of Temporal Fine Structure-Based Tasks

Otsuka

Furukawa

Yamagishi

et al. 2016

JARO

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This study examined whether the mechanical characteristics of the cochlea could influence individual variation in the ability to use temporal fine structure (TFS) information. Cochlear mechanical functioning was evaluated by swept-tone evoked otoacoustic emissions (OAEs), which are thought to comprise linear reflection by micromechanical impedance perturbations, such as spatial variations in the number or geometry of outer hair cells, on the basilar membrane (BM). Low-rate (2 Hz) frequency modulation detection limens (FMDLs) were measured for carrier frequency of 1000 Hz and interaural phase difference (IPD) thresholds as indices of TFS sensitivity and highrate (16 Hz) FMDLs and amplitude modulation detection limens (AMDLs) as indices of sensitivity to non-TFS cues. Significant correlations were found among low-rate FMDLs, low-rate AMDLs, and IPD thresholds (R = 0.47-0.59). A principal component analysis was used to show a common factor that could account for 81.1, 74.1, and 62.9 % of the variance in low-rate FMDLs, low-rate AMDLs, and IPD thresholds, respectively. An OAE feature, specifically a characteristic dip around 2-2.5 kHz in OAE spectra, showed a significant correlation with the common factor (R = 0.54). High-rate FMDLs and AMDLs were correlated with each other (R = 0.56) but not with the other measures. The results can be interpreted as indicating that (1) the low-rate AMDLs, as well as the IPD thresholds and low-rate FMDLs, depend on the use of TFS information coded in neural phase locking and (2) the use of TFS information is influenced by a particular aspect of cochlear mechanics, such as mechanical irregularity along the BM.

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“…The initial window extended from stimulus onset to 10 ms post-stimulus offset. The duration of this window was determined based on the longest expected latency of a low-level 2 kHz TEOAE (e.g., Neely et al 1988;Tognola et al 1997;Sisto and Moleti 2007). This analysis window included all the differentlatency TEOAE components.…”

Section: Measurement and Analysis Of Teoaesmentioning

confidence: 99%

Basal Contributions to Short-Latency Transient-Evoked Otoacoustic Emission Components

Lewis

Goodman

2014

JARO

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The presence of short-latency (SL), less compressivegrowing components in bandpass-filtered transientevoked otoacoustic emission (TEOAE) waveforms may implicate contributions from cochlear regions basal to the tonotopic place. Recent empirical work suggests a region of SL generation between ∼1/5 and 1/10-octave basal to the TEOAE frequency's tonotopic place. However, this estimate may be biased to regions closer to the tonotopic place as the TEOAE extraction technique precluded measurement of components with latencies shorter than ∼5 ms. Using a variant of the non-linear, double-evoked extraction paradigm that permitted extraction of components with latencies as early as 1 ms, the current study empirically estimated the spatial-extent of the cochlear region contributing to 2 kHz SL TEOAE components. TEOAEs were evoked during simultaneous presentation of a suppressor stimulus, in order to suppress contributions to the TEOAE from different places along the cochlear partition. Three or four different-latency components of similar frequency content (∼2 kHz) were identified for most subjects. Component latencies ranged from 1.4 to 9.6 ms; latency was predictive of the component's growth rate and the suppressor frequency to which the component's magnitude was most sensitive to change. As component latency decreased, growth became less compressive and suppressor-frequency sensitivity shifted to higher frequencies. The shortest-latency components were most sensitive to suppressors approximately 3/5-octave higher than their nominal frequency of 2 kHz. These results are consistent with a distributed region of generation extending to approximately 3/5-octave basal to the TEOAE frequency's tonotopic place. The empirical estimates of TEOAE generation are similar to model-based estimates where generation of the different-latency components occurs through linear reflection from impedance discontinuities distributed across the cochlear partition.

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Time-frequency distributions of click-evoked otoacoustic emissions

Cited by 116 publications

References 37 publications

Cochlear maturation and otoacoustic emissions in preterm infants: a time–frequency approach

Cochlear maturation and otoacoustic emissions in preterm infants: a time–frequency approach

Relation Between Cochlear Mechanics and Performance of Temporal Fine Structure-Based Tasks

Basal Contributions to Short-Latency Transient-Evoked Otoacoustic Emission Components

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