Literature DB >> 21867734

Early electrophysiological indicators for predictive processing in audition: a review.

Alexandra Bendixen1, Iria SanMiguel, Erich Schröger.   

Abstract

The auditory system essentially deals with sequential type of input and thus requires processing that is particularly suited to extract stimulus relations within a sequence. Evidence from a variety of paradigms converges to show that the auditory system automatically uses stimulus predictability for facilitating its sequential processing. This type of predictive processing does not require attentional processing of the sounds or cognitive control of the predictions, nor does it involve the preparation of motor responses to the auditory stimuli. We will present a taxonomy of paradigms and resulting electrophysiological indicators for such automatic predictive processing in terms of event-related potential components and oscillatory activity. These indicators will include signals of fulfilled predictions (match signals such as N1 attenuation, repetition positivity, and early evoked gamma band response enhancement) as well as signals of violated predictions (mismatch signals such as the mismatch negativity and stimulus omission responses). We will show how recent approaches have revealed particularly early indicators of predictive processing down to the level of the auditory middle-latency responses. We will discuss the strength of the various indicators in terms of a truly predictive account of auditory processing (as opposed to, e.g., a retrospective verification of predictions). Finally, we will discuss the benefits of a predictive system within and beyond auditory processing. In conclusion, we argue in favor of the overwhelming evidence for predictions in audition, flexibly instantiated on different levels and timescales, and we aim to provide guidance along a variety of research paradigms illustrating the existence of these predictions.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 21867734     DOI: 10.1016/j.ijpsycho.2011.08.003

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  78 in total

Review 1.  Multistability in auditory stream segregation: a predictive coding view.

Authors:  István Winkler; Susan Denham; Robert Mill; Tamás M Bohm; Alexandra Bendixen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-04-05       Impact factor: 6.237

Review 2.  Attention and prediction in human audition: a lesson from cognitive psychophysiology.

Authors:  Erich Schröger; Anna Marzecová; Iria SanMiguel
Journal:  Eur J Neurosci       Date:  2015-03       Impact factor: 3.386

Review 3.  The cognitive determinants of behavioral distraction by deviant auditory stimuli: a review.

Authors:  Fabrice B R Parmentier
Journal:  Psychol Res       Date:  2013-12-21

4.  Neuronal phase consistency tracks dynamic changes in acoustic spectral regularity.

Authors:  Adam M Gifford; Michael R Sperling; Ashwini Sharan; Richard J Gorniak; Ryan B Williams; Kathryn Davis; Michael J Kahana; Yale E Cohen
Journal:  Eur J Neurosci       Date:  2018-11-29       Impact factor: 3.386

5.  Cerebellum, temporal predictability and the updating of a mental model.

Authors:  Sonja A Kotz; Anika Stockert; Michael Schwartze
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-12-19       Impact factor: 6.237

6.  Cross-modal decoupling in temporal attention between audition and touch.

Authors:  Stefanie Mühlberg; Salvador Soto-Faraco
Journal:  Psychol Res       Date:  2018-05-17

7.  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

Review 8.  Brain correlates of music-evoked emotions.

Authors:  Stefan Koelsch
Journal:  Nat Rev Neurosci       Date:  2014-03       Impact factor: 34.870

9.  Transitional Probabilities Are Prioritized over Stimulus/Pattern Probabilities in Auditory Deviance Detection: Memory Basis for Predictive Sound Processing.

Authors:  Maria Mittag; Rika Takegata; István Winkler
Journal:  J Neurosci       Date:  2016-09-14       Impact factor: 6.167

10.  Hearing silences: human auditory processing relies on preactivation of sound-specific brain activity patterns.

Authors:  Iria SanMiguel; Andreas Widmann; Alexandra Bendixen; Nelson Trujillo-Barreto; Erich Schröger
Journal:  J Neurosci       Date:  2013-05-15       Impact factor: 6.167

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