Literature DB >> 12087130

Plastic changes in the central auditory system after hearing loss, restoration of function, and during learning.

Josef Syka1.   

Abstract

Traditionally the auditory system was considered a hard-wired sensory system; this view has been challenged in recent years in light of the plasticity of other sensory systems, particularly the visual and somatosensory systems. Practical experience in clinical audiology together with the use of prosthetic devices, such as cochlear implants, contributed significantly to the present view on the plasticity of the central auditory system, which was originally based on data obtained in animal experiments. The loss of auditory receptors, the hair cells, results in profound changes in the structure and function of the central auditory system, typically demonstrated by a reorganization of the projection maps in the auditory cortex. These plastic changes occur not only as a consequence of mechanical lesions of the cochlea or biochemical lesions of the hair cells by ototoxic drugs, but also as a consequence of the loss of hair cells in connection with aging or noise exposure. In light of the aging world population and the increasing amount of noise in the modern world, understanding the plasticity of the central auditory system has its practical consequences and urgency. In most of these situations, a common denominator of central plastic changes is a deterioration of inhibition in the subcortical auditory nuclei and the auditory cortex. In addition to the processes that are elicited by decreased or lost receptor function, the function of nerve cells in the adult central auditory system may dynamically change in the process of learning. A better understanding of the plastic changes in the central auditory system after sensory deafferentation, sensory stimulation, and learning may contribute significantly to improvement in the rehabilitation of damaged or lost auditory function and consequently to improved speech processing and production.

Entities:  

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Year:  2002        PMID: 12087130     DOI: 10.1152/physrev.00002.2002

Source DB:  PubMed          Journal:  Physiol Rev        ISSN: 0031-9333            Impact factor:   37.312


  108 in total

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Journal:  Hear Res       Date:  2006-04-19       Impact factor: 3.208

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Authors:  S C Bledsoe; S E Shore; M J Guitton
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4.  The gap-startle paradigm for tinnitus screening in animal models: limitations and optimization.

Authors:  Edward Lobarinas; Sarah H Hayes; Brian L Allman
Journal:  Hear Res       Date:  2012-06-21       Impact factor: 3.208

5.  Hearing thresholds and FMRI of auditory cortex following eighth cranial nerve surgery.

Authors:  Harold Burton; Jill B Firszt; Timothy Holden
Journal:  Otolaryngol Head Neck Surg       Date:  2013-06-26       Impact factor: 3.497

6.  Impact of sound exposure and aging on brain-derived neurotrophic factor and tyrosine kinase B receptors levels in dorsal cochlear nucleus 80 days following sound exposure.

Authors:  H Wang; T J Brozoski; L Ling; L F Hughes; D M Caspary
Journal:  Neuroscience       Date:  2010-10-27       Impact factor: 3.590

7.  Changes in glycine immunoreactivity in the rat superior olivary complex following deafness.

Authors:  Eric D Buras; Avril Genene Holt; Ronald D Griffith; Mikiya Asako; Richard A Altschuler
Journal:  J Comp Neurol       Date:  2006-01-01       Impact factor: 3.215

8.  Quantitative changes in calretinin immunostaining in the cochlear nuclei after unilateral cochlear removal in young ferrets.

Authors:  Verónica Fuentes-Santamaria; Juan Carlos Alvarado; Anna R Taylor; Judy K Brunso-Bechtold; Craig K Henkel
Journal:  J Comp Neurol       Date:  2005-03-21       Impact factor: 3.215

9.  Hearing loss raises excitability in the auditory cortex.

Authors:  Vibhakar C Kotak; Sho Fujisawa; Fanyee Anja Lee; Omkar Karthikeyan; Chiye Aoki; Dan H Sanes
Journal:  J Neurosci       Date:  2005-04-13       Impact factor: 6.167

10.  Age-related GABAA receptor changes in rat auditory cortex.

Authors:  Donald M Caspary; Larry F Hughes; Lynne L Ling
Journal:  Neurobiol Aging       Date:  2012-12-17       Impact factor: 4.673

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