Cochlear neural degeneration disrupts hearing in background noise by increasing auditory cortex internal noise

Neuron ◽  
2021 ◽  
Author(s):  
Jennifer Resnik ◽  
Daniel B. Polley
2012 ◽  
Vol 39 (11) ◽  
pp. 1082-1088
Author(s):  
Yin-Ting PENG ◽  
Qing PU ◽  
Xin-De SUN ◽  
Ji-Ping ZHANG

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Antonio Elia Forte ◽  
Octave Etard ◽  
Tobias Reichenbach

Humans excel at selectively listening to a target speaker in background noise such as competing voices. While the encoding of speech in the auditory cortex is modulated by selective attention, it remains debated whether such modulation occurs already in subcortical auditory structures. Investigating the contribution of the human brainstem to attention has, in particular, been hindered by the tiny amplitude of the brainstem response. Its measurement normally requires a large number of repetitions of the same short sound stimuli, which may lead to a loss of attention and to neural adaptation. Here we develop a mathematical method to measure the auditory brainstem response to running speech, an acoustic stimulus that does not repeat and that has a high ecological validity. We employ this method to assess the brainstem's activity when a subject listens to one of two competing speakers, and show that the brainstem response is consistently modulated by attention.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Bahar Khalighinejad ◽  
Jose L. Herrero ◽  
Ashesh D. Mehta ◽  
Nima Mesgarani

2017 ◽  
Vol 118 (2) ◽  
pp. 1034-1054 ◽  
Author(s):  
B. J. Malone ◽  
Marc A. Heiser ◽  
Ralph E. Beitel ◽  
Christoph E. Schreiner

The ability to detect and discriminate sounds in background noise is critical for our ability to communicate. The neural basis of robust perceptual performance in noise is not well understood. We identified neuronal populations in core auditory cortex of squirrel monkeys that differ in how they process foreground signals in background noise and that may contribute to robust signal representation and discrimination in acoustic environments with prominent background noise.


2002 ◽  
Vol 88 (3) ◽  
pp. 1545-1558 ◽  
Author(s):  
Huib Versnel ◽  
Jennifer E. Mossop ◽  
Thomas D. Mrsic-Flogel ◽  
Bashir Ahmed ◽  
David R. Moore

This paper describes optical imaging of the auditory cortex in the anesthetized ferret, particularly addressing optimization of narrowband stimuli. The types of sound stimuli used were tone-pip trains and sinusoidal frequency and amplitude modulated (SFM and SAM) tones. By employing short illumination wavelengths (546 nm), we have successfully characterized the tonotopic arrangement, in agreement with the well-established electrophysiological tonotopic maps of the ferret auditory primary field (AI). The magnitude of the optical signal increased with sound level, was maximal for a modulation frequency (MF) of 2–4 Hz, and was larger for tone-pip trains and SFM sounds than for SAM sounds. Accordingly, an optimal narrowband stimulus was defined. Thus optical imaging can be used successfully to obtain frequency maps in auditory cortex by an appropriate choice of stimulus parameters. In addition, background noise consisting of 0.1-Hz oscillations could be reduced by introduction of blood pressure enhancing drugs. The optical maps were largely independent of 1) the type of narrowband stimulus, 2) the sound level, and 3) the MF. This stability of the optical maps was not predicted from the electrophysiological literature.


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