Literature DB >> 23466938

Electrophysiological correlates of auditory change detection and change deafness in complex auditory scenes.

Sebastian Puschmann1, Pascale Sandmann2, Janina Ahrens3, Jeremy Thorne2, Riklef Weerda3, Georg Klump4, Stefan Debener5, Christiane M Thiel6.   

Abstract

Change deafness describes the failure to perceive even intense changes within complex auditory input, if the listener does not attend to the changing sound. Remarkably, previous psychophysical data provide evidence that this effect occurs independently of successful stimulus encoding, indicating that undetected changes are processed to some extent in auditory cortex. Here we investigated cortical representations of detected and undetected auditory changes using electroencephalographic (EEG) recordings and a change deafness paradigm. We applied a one-shot change detection task, in which participants listened successively to three complex auditory scenes, each of them consisting of six simultaneously presented auditory streams. Listeners had to decide whether all scenes were identical or whether the pitch of one stream was changed between the last two presentations. Our data show significantly increased middle-latency Nb responses for both detected and undetected changes as compared to no-change trials. In contrast, only successfully detected changes were associated with a later mismatch response in auditory cortex, followed by increased N2, P3a and P3b responses, originating from hierarchically higher non-sensory brain regions. These results strengthen the view that undetected changes are successfully encoded at sensory level in auditory cortex, but fail to trigger later change-related cortical responses that lead to conscious perception of change.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23466938     DOI: 10.1016/j.neuroimage.2013.02.037

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  11 in total

Review 1.  Recent advances in exploring the neural underpinnings of auditory scene perception.

Authors:  Joel S Snyder; Mounya Elhilali
Journal:  Ann N Y Acad Sci       Date:  2017-02-15       Impact factor: 5.691

Review 2.  A roadmap for the study of conscious audition and its neural basis.

Authors:  Andrew R Dykstra; Peter A Cariani; Alexander Gutschalk
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-02       Impact factor: 6.237

3.  Context-dependent role of selective attention for change detection in multi-speaker scenes.

Authors:  Christian Starzynski; Alexander Gutschalk
Journal:  Hum Brain Mapp       Date:  2018-07-12       Impact factor: 5.038

4.  Encoding of nested levels of acoustic regularity in hierarchically organized areas of the human auditory cortex.

Authors:  Marc Recasens; Sabine Grimm; Andreas Wollbrink; Christo Pantev; Carles Escera
Journal:  Hum Brain Mapp       Date:  2014-07-04       Impact factor: 5.038

5.  Disruption in neural phase synchrony is related to identification of inattentional deafness in real-world setting.

Authors:  Daniel E Callan; Thibault Gateau; Gautier Durantin; Nicolas Gonthier; Frédéric Dehais
Journal:  Hum Brain Mapp       Date:  2018-02-26       Impact factor: 5.038

6.  Neural signature of inattentional deafness.

Authors:  Gautier Durantin; Frederic Dehais; Nicolas Gonthier; Cengiz Terzibas; Daniel E Callan
Journal:  Hum Brain Mapp       Date:  2017-07-26       Impact factor: 5.038

7.  Change deafness can be reduced, but not eliminated, using brief training interventions.

Authors:  Vanessa C Irsik; Joel S Snyder
Journal:  Psychol Res       Date:  2019-09-06

Review 8.  Did you hear that? The role of stimulus similarity and uncertainty in auditory change deafness.

Authors:  Kelly Dickerson; Jeremy R Gaston
Journal:  Front Psychol       Date:  2014-10-02

9.  Change deafness for real spatialized environmental scenes.

Authors:  Jeremy Gaston; Kelly Dickerson; Daniel Hipp; Peter Gerhardstein
Journal:  Cogn Res Princ Implic       Date:  2017-06-28

10.  Neural dynamics of change detection in crowded acoustic scenes.

Authors:  Ediz Sohoglu; Maria Chait
Journal:  Neuroimage       Date:  2015-11-26       Impact factor: 6.556

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