Literature DB >> 23804092

The brain dynamics of rapid perceptual adaptation to adverse listening conditions.

Julia Erb1, Molly J Henry, Frank Eisner, Jonas Obleser.   

Abstract

Listeners show a remarkable ability to quickly adjust to degraded speech input. Here, we aimed to identify the neural mechanisms of such short-term perceptual adaptation. In a sparse-sampling, cardiac-gated functional magnetic resonance imaging (fMRI) acquisition, human listeners heard and repeated back 4-band-vocoded sentences (in which the temporal envelope of the acoustic signal is preserved, while spectral information is highly degraded). Clear-speech trials were included as baseline. An additional fMRI experiment on amplitude modulation rate discrimination quantified the convergence of neural mechanisms that subserve coping with challenging listening conditions for speech and non-speech. First, the degraded speech task revealed an "executive" network (comprising the anterior insula and anterior cingulate cortex), parts of which were also activated in the non-speech discrimination task. Second, trial-by-trial fluctuations in successful comprehension of degraded speech drove hemodynamic signal change in classic "language" areas (bilateral temporal cortices). Third, as listeners perceptually adapted to degraded speech, downregulation in a cortico-striato-thalamo-cortical circuit was observable. The present data highlight differential upregulation and downregulation in auditory-language and executive networks, respectively, with important subcortical contributions when successfully adapting to a challenging listening situation.

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Year:  2013        PMID: 23804092      PMCID: PMC6618499          DOI: 10.1523/JNEUROSCI.4596-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  58 in total

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Authors:  Kenneth I Vaden; Stefanie E Kuchinsky; Stephanie L Cute; Jayne B Ahlstrom; Judy R Dubno; Mark A Eckert
Journal:  J Neurosci       Date:  2013-11-27       Impact factor: 6.167

2.  An fMRI study investigating effects of conceptually related sentences on the perception of degraded speech.

Authors:  Sara Guediche; Megan Reilly; Carolina Santiago; Patryk Laurent; Sheila E Blumstein
Journal:  Cortex       Date:  2016-03-25       Impact factor: 4.027

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Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

4.  Listening under difficult conditions: An activation likelihood estimation meta-analysis.

Authors:  Claude Alain; Yi Du; Lori J Bernstein; Thijs Barten; Karen Banai
Journal:  Hum Brain Mapp       Date:  2018-03-13       Impact factor: 5.038

5.  Scale-Free Amplitude Modulation of Neuronal Oscillations Tracks Comprehension of Accelerated Speech.

Authors:  Ana Filipa Teixeira Borges; Anne-Lise Giraud; Huibert D Mansvelder; Klaus Linkenkaer-Hansen
Journal:  J Neurosci       Date:  2017-12-07       Impact factor: 6.167

6.  Acoustic richness modulates the neural networks supporting intelligible speech processing.

Authors:  Yune-Sang Lee; Nam Eun Min; Arthur Wingfield; Murray Grossman; Jonathan E Peelle
Journal:  Hear Res       Date:  2015-12-23       Impact factor: 3.208

7.  Getting the Cocktail Party Started: Masking Effects in Speech Perception.

Authors:  Samuel Evans; Carolyn McGettigan; Zarinah K Agnew; Stuart Rosen; Sophie K Scott
Journal:  J Cogn Neurosci       Date:  2015-12-22       Impact factor: 3.225

8.  The relationship between maternal education and the neural substrates of phoneme perception in children: Interactions between socioeconomic status and proficiency level.

Authors:  Lisa L Conant; Einat Liebenthal; Anjali Desai; Jeffrey R Binder
Journal:  Brain Lang       Date:  2017-04-21       Impact factor: 2.381

9.  Neural responses to grammatically and lexically degraded speech.

Authors:  Alexa Bautista; Stephen M Wilson
Journal:  Lang Cogn Neurosci       Date:  2016-01-20       Impact factor: 2.331

10.  Neural Systems Underlying Perceptual Adjustment to Non-Standard Speech Tokens.

Authors:  Emily B Myers; Laura M Mesite
Journal:  J Mem Lang       Date:  2014-10-01       Impact factor: 3.059

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