Réhabilitation auditive. Exploration Objective de l'audition. Les ASSR (Auditory Steady-State Responses) au service de l'audioprothèse

2009 ◽  
Vol 3 (2) ◽  
pp. 173-211
Author(s):  
Mikael Ménard ◽  
Stéphane Gallégo ◽  
Hung Thai-Van
Keyword(s):  
Steady State ◽  
Steady State Responses ◽  
Auditory Steady State Responses ◽  
State Responses

Estimating the Audiogram Using Multiple Auditory Steady-State Responses

2002 ◽  
Vol 13 (04) ◽  
pp. 205-224 ◽  
Author(s):  
Andrew Dimitrijevic ◽  
Sasha M. John ◽  
Patricia Van Roon ◽  
David W. Purcell ◽  
Julija Adamonis ◽  
...  
Keyword(s):  
Steady State ◽  
Correlation Coefficients ◽  
Behavioral Threshold ◽  
Behavioral Thresholds ◽  
Sensorineural Hearing Impairment ◽  
Steady State Responses ◽  
Auditory Steady State Responses ◽  
Tonal Stimuli ◽  
Conductive Hearing ◽  
State Responses

Multiple auditory steady-state responses were evoked by eight tonal stimuli (four per ear), with each stimulus simultaneously modulated in both amplitude and frequency. The modulation frequencies varied from 80 to 95 Hz and the carrier frequencies were 500, 1000, 2000, and 4000 Hz. For air conduction, the differences between physiologic thresholds for these mixed-modulation (MM) stimuli and behavioral thresholds for pure tones in 31 adult subjects with a sensorineural hearing impairment and 14 adult subjects with normal hearing were 14 ± 11, 5 ± 9, 5 ± 9, and 9 ± 10 dB (correlation coefficients .85, .94, .95, and .95) for the 500-, 1000-, 2000-, and 4000-Hz carrier frequencies, respectively. Similar results were obtained in subjects with simulated conductive hearing losses. Responses to stimuli presented through a forehead bone conductor showed physiologic-behavioral threshold differences of 22 ± 8, 14 ± 5, 5 ± 8, and 5 ± 10 dB for the 500-, 1000-, 2000-, and 4000-Hz carrier frequencies, respectively. These responses were attenuated by white noise presented concurrently through the bone conductor.

scholarly journals Stability of Auditory Steady State Responses Over Time

2018 ◽  
Vol 39 (2) ◽  
pp. 260-268 ◽  
Author(s):  
Maaike Van Eeckhoutte ◽  
Robert Luke ◽  
Jan Wouters ◽  
Tom Francart
Keyword(s):  
Steady State ◽  
Steady State Responses ◽  
Auditory Steady State Responses ◽  
State Responses ◽  
Over Time

scholarly journals Assessing temporal modulation sensitivity using electrically evoked auditory steady state responses

2015 ◽  
Vol 324 ◽  
pp. 37-45 ◽  
Author(s):  
Robert Luke ◽  
Lieselot Van Deun ◽  
Michael Hofmann ◽  
Astrid van Wieringen ◽  
Jan Wouters
Keyword(s):  
Steady State ◽  
Temporal Modulation ◽  
Steady State Responses ◽  
Auditory Steady State Responses ◽  
State Responses

scholarly journals Improving source modeling of auditory steady-state responses with frequency-specific brain maps

2019 ◽  
Author(s):  
Ehsan Darestani Farahani ◽  
Jan Wouters ◽  
Astrid van Wieringen
Keyword(s):  
Steady State ◽  
Primary Sources ◽  
Source Modeling ◽  
High Modulation ◽  
Wide Range ◽  
Steady State Responses ◽  
Consistent Picture ◽  
Auditory Steady State Responses ◽  
Group Ica ◽  
State Responses

AbstractAuditory steady-state responses (ASSRs) are evoked brain responses to modulated or repetitive acoustic stimuli. Due to a wide range of clinical and research applications, there is a great (clinical) interest to investigate the underlying neural generators of ASSRs. The cortical sources of ASSRs mostly are located in the auditory cortex (AC), although some studies avoiding prior assumptions regarding the number and location of the sources have also reported activity of sources outside of the AC. However, little is known about the number and location of these sources. In this study, we present a novel extension to minimum-norm imaging (MNI) which facilitates ASSR source reconstruction and provides a comprehensive and consistent picture of sources in response to low- as well as high modulation frequencies, monaurally presented to the left and right ears.Results demonstrate that the proposed MNI approach is successful in reconstructing sources located both within (primary) and outside (non-primary) of the AC. The locations of the non-primary sources are consistent with the literature. Primary sources are detected in every experimental condition, thereby corroborating the robustness of the approach. Moreover, we show that the MNI approach is capable of reconstructing the subcortical activities of ASSRs. In summary, the results indicate that the MNI approach outperforms the previously used method of group-ICA, in terms of detection of sources in the AC, reconstructing the subcortical activities and reducing computational load.

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