Evidence map›Paper›PMID 22457465›Full record

ArticleJournal of neurophysiology2012

Time course of dynamic range adaptation in the auditory nerve.

Bo Wen, Grace I Wang, Isabel Dean, Bertrand Delgutte

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Dynamic range adaptation to spectral stimulus statistics in human auditory cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Adaptation in auditory processing.Physiological reviews · 2023
    Review
  9. Article
  10. Article
  11. Neuromodulatory Mechanisms Underlying Contrast Gain Control in Mouse Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  12. Firing Rate Adaptation of the Human Auditory Nerve Optimizes Neural Signal-to-Noise Ratios.Journal of the Association for Research in Otolaryngology : JARO · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Adaptation to Noise in Human Speech Recognition Depends on Noise-Level Statistics and Fast Dynamic-Range Compression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  19. Article
  20. Adaptation in the auditory system of a beluga whale: effect of adapting sound parameters.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bo WenEaton-Peabody Laboratories, Massachusetts Eye and Ear Infirmary, Boston, MA 02114, USA. bo_wen@meei.harvard.edu
Grace I Wang
Isabel Dean
Bertrand Delgutte

Funding

Imaging Core PlanP30DC005209 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI LIBERMAN, M. CHARLES · 2002 to 2016
$12.0M
NEURAL CODING OF SPEECHR01DC002258 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI DELGUTTE, BERTRAND · 1995 to 2022
$8.0M
Neural Mechanisms of Dynamic Range AdaptationR03DC011156 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI WEN, BO · 2010 to 2012
$460k
NIDCD NIH HHS P30 DC005209NIDCD NIH HHS R01 DC002258NIDCD NIH HHS R03 DC011156
6 · The paper itself

Abstract

Auditory adaptation to sound-level statistics occurs as early as in the auditory nerve (AN), the first stage of neural auditory processing. In addition to firing rate adaptation characterized by a rate decrement dependent on previous spike activity, AN fibers show dynamic range adaptation, which is characterized by a shift of the rate-level function or dynamic range toward the most frequently occurring levels in a dynamic stimulus, thereby improving the precision of coding of the most common sound levels (Wen B, Wang GI, Dean I, Delgutte B. J Neurosci 29: 13797-13808, 2009). We investigated the time course of dynamic range adaptation by recording from AN fibers with a stimulus in which the sound levels periodically switch from one nonuniform level distribution to another (Dean I, Robinson BL, Harper NS, McAlpine D. J Neurosci 28: 6430-6438, 2008). Dynamic range adaptation occurred rapidly, but its exact time course was difficult to determine directly from the data because of the concomitant firing rate adaptation. To characterize the time course of dynamic range adaptation without the confound of firing rate adaptation, we developed a phenomenological "dual adaptation" model that accounts for both forms of AN adaptation. When fitted to the data, the model predicts that dynamic range adaptation occurs as rapidly as firing rate adaptation, over 100-400 ms, and the time constants of the two forms of adaptation are correlated. These findings suggest that adaptive processing in the auditory periphery in response to changes in mean sound level occurs rapidly enough to have significant impact on the coding of natural sounds.

Indexed as

Models, BiologicalNonlinear DynamicsAcoustic StimulationAction PotentialsAdaptation, PhysiologicalAnimalsAttentionCatsCochlear NerveFunctional LateralityPsychoacousticsTime Factors

Identifiers

PMID22457465
PMCPMC3434618

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.