Literature DB >> 29126650

Plasticity in the auditory system.

Dexter R F Irvine1.   

Abstract

Over the last 30 years a wide range of manipulations of auditory input and experience have been shown to result in plasticity in auditory cortical and subcortical structures. The time course of plasticity ranges from very rapid stimulus-specific adaptation to longer-term changes associated with, for example, partial hearing loss or perceptual learning. Evidence for plasticity as a consequence of these and a range of other manipulations of auditory input and/or its significance is reviewed, with an emphasis on plasticity in adults and in the auditory cortex. The nature of the changes in auditory cortex associated with attention, memory and perceptual learning depend critically on task structure, reward contingencies, and learning strategy. Most forms of auditory system plasticity are adaptive, in that they serve to optimize auditory performance, prompting attempts to harness this plasticity for therapeutic purposes. However, plasticity associated with cochlear trauma and partial hearing loss appears to be maladaptive, and has been linked to tinnitus. Three important forms of human learning-related auditory system plasticity are those associated with language development, musical training, and improvement in performance with a cochlear implant. Almost all forms of plasticity involve changes in synaptic excitatory - inhibitory balance within existing patterns of connectivity. An attractive model applicable to a number of forms of learning-related plasticity is dynamic multiplexing by individual neurons, such that learning involving a particular stimulus attribute reflects a particular subset of the diverse inputs to a given neuron being gated by top-down influences. The plasticity evidence indicates that auditory cortex is a component of complex distributed networks that integrate the representation of auditory stimuli with attention, decision and reward processes.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Attention; Hearing loss; Neuromodulators; Perceptual learning; Stimulus-specific adaptation; Synaptic weights

Mesh:

Year:  2017        PMID: 29126650     DOI: 10.1016/j.heares.2017.10.011

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  20 in total

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3.  Value-Biased Competition in the Auditory System of the Brain.

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4.  The Neural Bases of Tinnitus: Lessons from Deafness and Cochlear Implants.

Authors:  Marlies Knipper; Pim van Dijk; Holger Schulze; Birgit Mazurek; Patrick Krauss; Verena Scheper; Athanasia Warnecke; Winfried Schlee; Kerstin Schwabe; Wibke Singer; Christoph Braun; Paul H Delano; Andreas J Fallgatter; Ann-Christine Ehlis; Grant D Searchfield; Matthias H J Munk; David M Baguley; Lukas Rüttiger
Journal:  J Neurosci       Date:  2020-09-16       Impact factor: 6.167

5.  The Influence of the Type of Background Noise on Perceptual Learning of Speech in Noise.

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6.  Dissociation between Cerebellar and Cerebral Neural Activities in Humans with Long-Term Bilateral Sensorineural Hearing Loss.

Authors:  Xiao-Min Xu; Yun Jiao; Tian-Yu Tang; Jian Zhang; Chun-Qiang Lu; Ying Luan; Richard Salvi; Gao-Jun Teng
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Journal:  PLoS One       Date:  2019-04-18       Impact factor: 3.240

Review 8.  Recent advances in understanding the auditory cortex.

Authors:  Andrew J King; Sundeep Teki; Ben D B Willmore
Journal:  F1000Res       Date:  2018-09-26

9.  A Preliminary Study of the Effects of Attentive Music Listening on Cochlear Implant Users' Speech Perception, Quality of Life, and Behavioral and Objective Measures of Frequency Change Detection.

Authors:  Gabrielle M Firestone; Kelli McGuire; Chun Liang; Nanhua Zhang; Chelsea M Blankenship; Jing Xiang; Fawen Zhang
Journal:  Front Hum Neurosci       Date:  2020-03-31       Impact factor: 3.169

10.  Social isolation improves the performance of rodents in a novel cognitive flexibility task.

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Journal:  Front Zool       Date:  2019-11-15       Impact factor: 3.172

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