Behavioral tinnitus in gerbils is associated with reduced spontaneous rates in single auditory-nerve fibers
Heeringa, A.
Show abstract
Tinnitus is often initiated by damage to the peripheral auditory system, for example by overexposure to loud sounds. Animal studies have shown that such noise-induced tinnitus is related to increased spontaneous activity in the brainstem dorsal cochlear nucleus as well as further along the central auditory pathway. However, the role of spontaneous activity of the auditory nerve, connecting the peripheral and central auditory systems, in tinnitus and brainstem hyperactivity remains unknown. In the current study, tinnitus was induced by exposing anesthetized Mongolian gerbils to a 115-dB SPL narrowband noise. After one day of recovery, animals were behaviorally tested for gap detection deficits using a gap-prepulse inhibition of the acoustic startle reflex (GPIAS) paradigm, indicative of tinnitus. Ipsilateral noise-induced threshold shifts did not differ between animals with and without signs of tinnitus. Interestingly, single auditory nerve fibers that were recorded from animals with signs of tinnitus had significantly reduced spontaneous rates compared to both noise-exposed animals without signs of tinnitus and sham-exposed animals. Furthermore, spontaneous rate reduction was specific to fibers with a best frequency within the frequency bands that showed gap detection deficits. On the other hand, inter-spike interval variability and bursting behavior increased in fibers from noise-exposed compared to sham-exposed animals but did not differ with gap detection deficits. These findings suggest that tinnitus-related central hyperactivity may be provoked by reduced spontaneous rates of its innervating auditory nerve fibers. This is consistent with current models explaining the central manifestation of tinnitus, such as the stochastic resonance and central gain models, and allows for a more detailed definition of specifically tinnitus-related deafferentation.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Optimizing auditory brainstem response acquisition using interleaved frequencies 95%
- Enhanced Place Specificity of the Parallel Auditory Brainstem Response: An Electrophysiological Study 94%
- Predicting cochlear synaptopathy in mice with varying degrees of outer hair cell dysfunction using auditory evoked potentials 94%
Similar papers in this journal
- Increased vulnerability to noise exposure of low spontaneous rate type 1C spiral ganglion neuron synapses with inner hair cells (Pre-Print) 97%
- The role of hidden hearing loss in tinnitus: insights from early markers of peripheral hearing damage 95%
- Cochlear histopathology in macaques after noise-induced temporary threshold shifts 95%
Similar papers in this journal
- Auditory decision-making deficits after permanent noise-induced hearing loss 96%
- On the Use of Envelope Following Responses to Estimate Peripheral Level Compression in the Auditory System 95%
- Exposure to 1800 MHz LTE electromagnetic fields under proinflammatory conditions decreases the response strength and increases the acoustic threshold of auditory cortical neurons. 94%
Similar papers in this journal
- A new method of recording from the giant fiber of Drosophila melanogaster shows that the strength of its auditory inputs remains constant with age 92%
- Supra-threshold perception and neural representation of tones presented in noise in conditions of masking release 92%
- Pterostilbene Protects Cochlea from Ototoxicity in Streptozotocin-Induced Diabetic Rats by Inhibiting the Apoptosis 92%
Similar papers in this journal
- Sound-Evoked Plasticity Differentiates Tinnitus from Non-Tinnitus Mice 97%
- Characterization of developmental changes in spontaneous electrical activity of superior olivary neurons before hearing onset under injectable or volatile anesthesia 94%
- Acute and long-term circuit-level effects in the auditory cortex after sound trauma 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.