The Role of the Efferent System in Auditory Performance in Background Noise
Utah Speech-Language Hearing Association, 2015
Skyler G. Jennings Ph.D., Au.D. CCC-A
Outline
• Hearing in a noisy background
• Normal vs. hearing impaired listeners
• The medial olivocochlear (MOC) system
• Effects on basilar membrane responses
• Time course of the MOC reflex
• The effects of the MOC reflex on perception
• Improved signal-to-noise ratio
• Improved peak-valley contrast
• Perceptual evidence for the role of the MOC reflex
• Auditory masking
• Auditory intensity discrimination
• Speech-in-noise performance
• Clinical applications
• Conclusions
Learning objectives
• Understand the anatomy and physiology of the auditory efferent system
• Understand the role of the medial olivocochlear reflex in regulating outer hair cell amplification
• Understand recent research on how the auditory efferent system may be dysfunctional in listeners with cochlear hearing loss, leading to altered
auditory perception.
Hearing in a noisy background
Normal vs. hearing impaired listeners
Listening in background noise is difficult for
hearing-impaired individuals
Normal-hearing listeners do quite well
understanding speech in a noisy background
Many factors may contribute to effectively understanding speech in a noisy background
• Peripheral factors
• Audibility
• Clear signal (healthy OHCs/IHCs)
• Redundancy among neural pathways
• Efferent function
Many factors may contribute to effectively understanding speech in a noisy background
• Central factors
• Auditory stream segregation
• Pitch
• Common fate
• Location
• Decoding the speech message from an
impoverished signal
• Brain noise may
increase with age
and HI
Medial olivocochlear anatomy / physiology
A brief review
Medial olivocochlear neurons innervate the outer hair cells
10
from Maison and Liberman (2000)
Innervation of OHCs is primarily efferent
OHC
Medial olivocochlear reflex
pathway
Detour: review of
cochlear mechanics
The basilar membrane exhibits tonotopic traveling motion
Traveling wave demo from Rick Rabbitt in bioengineering
The response of the cochlea depends on the state of the outer hair cells
• When OHCs are impaired, the cochlear response is:
• Insensitive (high thresholds)
• Broadly tuned
• Linear
• When OHCs are healthy , the cochlear response is:
• Sensitive
• Sharply tuned
• Compressive
*Outer hair cells amplify BM motion and sharpen the peak of the traveling wave.
Active and passive cochlear processes
• Cochlear motion is the sum of passive and active processes-
• Passive process: motion due to the physical
properties of the basilar membrane (e.g., stiffness and mass)
• Active process:
amplification introduced by the OHCs to motion of the basilar membrane.
*The active process is decreased with sensorineural hearing loss and absent after death.
The interaction of passive and active processes results in “cochlear compression.”
17
This graph of the basilar membrane output as a function of stimulus level is called a cochlear
“input/output”
function.
Signal going in to the cochlea Signal coming
out of cochlea
Compression facilitates a large
perceptual dynamic range (but…)
Modified from Ruggero et al (1997)
Large Range of Input Levels Compressed
Output
Byproducts of compression: reduced SNR
N S
Favorable input SNR Poorer post-cochlear SNR
Noise Speech Noise
Speech
*Cochlear compression may limit speech understanding in
background noise.
The speech envelope is important for understanding speech
Speech envelope: has gross fluctuations characterized by peaks and valleys
*Early cochlear implant studies showed that the speech envelope must be faithfully coded for speech understanding (e.g., Shannon, 1995).
Byproducts of compression:
reduced peak-valley contrast
Valley Peak
V P
Favorable input peak-valley contrast Poorer post-cochlear
peak-valley contrast
Valley Peak
*Cochlear compression may limit the contrast between speech peaks and valleys of the speech envelope. This may negatively influence speech understanding.
Summary of cochlear mechanics
• Cochlear motion is determined by active and passive processes
• The interaction of active and passive processes results in cochlear compression
• Compression may lead to a reduced post-cochlear SNR
• Compression may lead to a reduced post-cochlear
peak-valley contrast
Back to MOC efferents…
Nature’s solution to avoiding the byproducts of cochlear
compression
Efferent (MOC) Effects on Basilar Membrane Responses (Cooper and Guinan, 2006)
Brainstem slice where MOC
neurons originate
MOC neurons connect to OHCs
Basilar membrane motion measured
MOC neurons stimulated by electric shock
Efferent (MOC) Effects on Basilar Membrane Responses (Cooper and Guinan, 2006)
The influence of
stimulating the MOC bundle is to reduce the amplification provided by OHCs.
*MOC stimulation results in decreased basilar membrane displacement, especially at low sound levels
(no shocks)
(shocks)
The MOC reflex is elicited by sound and
its response grows with sound level
The MOC timecourse includes onset, delay, build-up, offset delay, and decay stages
Based on Backus and Guinan (2006)
Onset delay: ~25 ms Build-up: ~200 ms Offset delay: ~25 ms Decay: ~100-200 ms
*This suggests that there is a slight lag between when the stimulus is turned on and off and when the MOC system effects
MOC stimulation decompresses the cochlear response and may improve SNR
Without the MOC (MOC-):
• Post-cochlear SNR is small
• Post-cochlear contrast is poor
With the MOC (MOC+):
• Post-cochlear SNR is improved
• Post-cochlear contrast is greater
Signal coming out of the cochlea
Signal going in to the cochlea
Potential roles of the MOC reflex in perception
• Reduction in masking by improving SNR (Guinan, 2006)
• Facilitate selective attention (Scharf et al, 1997)
• Protection against noise-induced hearing loss (Maison and Liberman, 2000)
• Protection against loss of spiral ganglion neurons
(Liberman and Maison, 2014)
Listeners with sensorineural hearing loss may have reduced MOC function
• Damage to cochlear structures disrupts the MOC pathway
• This may reduce the ability of the MOC
reflex to regulate OHC amplification
• This suggests that the hearing-impaired
system may have
difficulty adapting to a
noisy background.
Interim conclusions
• Sensorineural hearing loss results in difficulty listening in background noise
• Hearing aids currently do not address this issue
• The MOC efferent system regulates the amplification of the outer hair cells
• Regulation of OHC amplification can improve SNR and peak-valley contrast
• Listeners with sensorineural hearing loss may lose
partial function of the MOC reflex, resulting in the
inability to adapt to a noisy background
MOC effects in human
perception
Perceptual studies on the MOC reflex
• Simple stimuli
• Masking
• Intensity increment/decrement detection
• Complex stimuli
• Speech in noise
Framework for masking experiments
• Assumption #1: The probe is detected through an auditory filter centered on the cochlear location that responds best to the probe
• Assumption #2: The probe energy through the auditory filter must be greater than the masker energy through the same filter by some criterion amount (criterion post-
cochlear SNR).
34
Auditory Filterbank
…
probe masker
criterion post-cochlear SNR
A perceptual task that takes advantage of the sluggish start of the MOC reflex: Masking
Masking Stimulus Basilar Membrane Response
MOC Time course onset
Temporal center
onset
temporal center
Detection threshold improves by up to 20 dB when the probe is moved from the onset to the temporal center
onset
Temporal center
0 10 20 30 40 50 60 70 80
60 dB SPL Masker
Probe Level (dB SPL)
Onset Temporal Center
Improvement called
“overshoot”
Normal Hearing Listeners
Hearing impaired listeners show little or no improvement in threshold when the probe is moved (i.e, small
overshoot)
onset
Temporal center
0 10 20 30 40 50 60 70 80
60 dB SPL Masker
Probe Level (dB SPL)
Onset Temporal Center
Small overshoot
Hearing-Impaired Listeners
Overshoot in NH listeners who ingest aspirin show very little improvement in threshold
• High aspirin ingestion produces a temporary hearing loss by
temporarily impairing the OHCs
• Overshoot decreases during an aspirin
regimen, while
temporary hearing loss increases
McFadden and Champlin (1990)
Before aspirin
Weeks after aspirin Days during
aspirin regimen
Overshoot can be explained with an
auditory model that includes MOC effects
OHC component of the model was used to manually regulated OHC amplification
Jennings et al (2011)
Model predicts reduced overshoot in HI listeners
Normal hearing simulations Hearing impaired simulations
Jennings et al (2011)
MOC reflex magnitude and growth rate may be reduced in HI listeners
• OHC amplification is reduced at a rate of -1 dB/dB with increasing masker level in YNH and ONH subjects.
• OHC amplification is reduced changes at a slower rate in OHI
subjects (-0.56 dB/dB).
• On average the largest reduction in OHC
amplification was roughly -45 dB in normal-hearing listeners and about -25 dB in hearing-impaired
listeners.
Jennings et al (in preparation) Remember MOC strength depends on sound levelFramework for decrement detection experiments
• Assumption #1: The
decrement is detected through an auditory filter centered on the cochlear location that responds best to the pedestal
• Assumption #2: The peak- valley contrast through the auditory filter must reach some criterion amount (criterion PV contrast).
42
Auditory Filterbank
…
decrement
criterion peak-valley ratio
A perceptual task that takes advantage of the sluggish start of the MOC reflex: Decrement Detection
Decrement Stimulus Basilar Membrane Response
MOC Time course onset
Temporal center
Decrement detection improves as the decrement is move to the temporal center of the pedestal
Lower numbers = better performance
Chen and Jennings, ARO 2015
Summary of simple perceptual experiments
• Detection thresholds improve as a tone is moved to a center of a noise
• This improvement only occurs in NH listeners
• This improvement can be explained by an increase in SNR during the course of the masker
• Decrement detection threshold improve as the decrement is moved to the center of the pedestal
• This improvement can be explained by a relatively better
peak-valley contrast.
MOC effects in speech perception
• Contralateral suppression of OAEs is a technique for
assessing MOC strength
• Kumar and Vanaja (2004) found a significant
correlation between speech identification and
contralateral suppression of OAEs.
• They speculated that the relatively better speech
identification in individuals
with stronger OAE inhibition
was due to the MOC reflex
regulating OHC amplification
MOC effects in speech perception (cont…)
• ABR latency shift in the presence of noise can predict the degree of masking
• Longer latencies more masking
• ABR latency shift and consonant discrimination was measured in the same listeners
• Consonant were discriminated on a continuum from “ba” to “ga”
• The consonant discrimination thresholds is the distance along the continuum
before “ba” is clearly distinguished from
• Lower scores are better.“ga”
• Consonant discrimination is correlated with ABR latency shift
• This latency shift was also correlated with contralateral suppression of OAEs
• The authors concluded that the
unmasking effect may be due to the
MOC regulation of OHC amplification de Boer et al. (2012)
Potential applications
and conclusions
Potential applications: MOC inspired noise reduction
• Speech in noise with linear compression
• Speech in noise with
MOC-inspired adjustment in OHC amplification
Speech in noise sound clip from:
http://www.ece.rochester.edu/~zduan/is2012/examples.html
Conclusions
• Robust speech perception in noise may be facilitated by the MOC reflex in NH listeners
• The MOC reflex improves speech understanding in noise by improving the SNR and increasing peak-valley contrast
• HI listener may suffer from a partially dysfunctional MOC reflex
• Behavioral studies in masking, decrement detection, and consonant identification support the potential role of the MOC reflex in speech perception
• An MOC inspired processing algorithm may improve the
benefit derived from hearing aids and cochlear implants
when listening to speech in a noisy background
references
• Backus, B. C., & Guinan, J. J., Jr. (2006). Time-course of the human medial olivocochlear reflex. J Acoust Soc Am, 119(5 Pt 1), 2889- 2904.
• Bacon, S. P. (1990). Effect of masker level on overshoot. J Acoust Soc Am, 88(2), 698-702.
• Cooper, N. P., & Guinan, J. J., Jr. (2006). Efferent-mediated control of basilar membrane motion. J Physiol, 576(Pt 1), 49-54.
• Guinan, J. J., Jr. (2006). Olivocochlear efferents: anatomy, physiology, function, and the measurement of efferent effects in humans.
Ear Hear, 27(6), 589-607.
• Jennings, S. G., Heinz, M. G., & Strickland, E. A. (2011). Evaluating adaptation and olivocochlear efferent feedback as potential explanations of psychophysical overshoot. J Assoc Res Otolaryngol, 12(3), 345-360. doi: 10.1007/s10162-011-0256-5
• Killion, M. C., & Niquette, P. A. (2000). What can the pure-tone audiogram tell us about a patient's SNR loss?. The Hearing Journal, 53(3), 46-48.
• Neely, S. T., & Kim, D. O. (1983). An active cochlear model showing sharp tuning and high sensitivity. Hearing Research, 9(2), 123- 130.
• Maison, S., Micheyl, C., Andeol, G., Gallego, S., & Collet, L. (2000). Activation of medial olivocochlear efferent system in humans:
influence of stimulus bandwidth. Hear Res, 140(1-2), 111-125.
• Maison, S. F., Usubuchi, H., & Liberman, M. C. (2013). Efferent feedback minimizes cochlear neuropathy from moderate noise exposure. J Neurosci, 33(13), 5542-5552. doi: 10.1523/JNEUROSCI.5027-12.2013
• McFadden, D., & Champlin, C. A. (1990). Reductions in overshoot during aspirin use. J Acoust Soc Am, 87(6), 2634-2642.
• Ruggero, M. A., Rich, N. C., Recio, A., Narayan, S. S., & Robles, L. (1997). Basilar-membrane responses to tones at the base of the chinchilla cochlea. J Acoust Soc Am, 101(4), 2151-2163.
• Scharf, B., Magnan, J., & Chays, A. (1997). On the role of the olivocochlear bundle in hearing: 16 case studies. Hear Res, 103(1-2), 101-122.
• Shannon, R. V., Zeng, F. G., Kamath, V., Wygonski, J., & Ekelid, M. (1995). Speech recognition with primarily temporal cues. Science, 270(5234), 303-304.
• Spoendlin, H. (1985). Anatomy of cochlear innervation. American journal of otolaryngology, 6(6), 453-467.
• Warr, W. B. (1992). Organization of olivocochlear efferent systems in mammals. In The mammalian auditory pathway:
Neuroanatomy (pp. 410-448). Springer New York.