Cargando…

Intention-based predictive information modulates auditory deviance processing

The human brain is highly responsive to (deviant) sounds violating an auditory regularity. Respective brain responses are usually investigated in situations when the sounds were produced by the experimenter. Acknowledging that humans also actively produce sounds, the present event-related potential...

Descripción completa

Detalles Bibliográficos
Autores principales: Widmann, Andreas, Schröger, Erich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554204/
https://www.ncbi.nlm.nih.gov/pubmed/36248631
http://dx.doi.org/10.3389/fnins.2022.995119
_version_ 1784806639504719872
author Widmann, Andreas
Schröger, Erich
author_facet Widmann, Andreas
Schröger, Erich
author_sort Widmann, Andreas
collection PubMed
description The human brain is highly responsive to (deviant) sounds violating an auditory regularity. Respective brain responses are usually investigated in situations when the sounds were produced by the experimenter. Acknowledging that humans also actively produce sounds, the present event-related potential study tested for differences in the brain responses to deviants that were produced by the listeners by pressing one of two buttons. In one condition, deviants were unpredictable with respect to the button-sound association. In another condition, deviants were predictable with high validity yielding correctly predicted deviants and incorrectly predicted (mispredicted) deviants. Temporal principal component analysis revealed deviant-specific N1 enhancement, mismatch negativity (MMN) and P3a. N1 enhancements were highly similar for each deviant type, indicating that the underlying neural mechanism is not affected by intention-based expectation about the self-produced forthcoming sound. The MMN was abolished for predictable deviants, suggesting that the intention-based prediction for a deviant can overwrite the prediction derived from the auditory regularity (predicting a standard). The P3a was present for each deviant type but was largest for mispredicted deviants. It is argued that the processes underlying P3a not only evaluate the deviant with respect to the fact that it violates an auditory regularity but also with respect to the intended sensorial effect of an action. Overall, our results specify current theories of auditory predictive processing, as they reveal that intention-based predictions exert different effects on different deviance-specific brain responses.
format Online
Article
Text
id pubmed-9554204
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95542042022-10-13 Intention-based predictive information modulates auditory deviance processing Widmann, Andreas Schröger, Erich Front Neurosci Neuroscience The human brain is highly responsive to (deviant) sounds violating an auditory regularity. Respective brain responses are usually investigated in situations when the sounds were produced by the experimenter. Acknowledging that humans also actively produce sounds, the present event-related potential study tested for differences in the brain responses to deviants that were produced by the listeners by pressing one of two buttons. In one condition, deviants were unpredictable with respect to the button-sound association. In another condition, deviants were predictable with high validity yielding correctly predicted deviants and incorrectly predicted (mispredicted) deviants. Temporal principal component analysis revealed deviant-specific N1 enhancement, mismatch negativity (MMN) and P3a. N1 enhancements were highly similar for each deviant type, indicating that the underlying neural mechanism is not affected by intention-based expectation about the self-produced forthcoming sound. The MMN was abolished for predictable deviants, suggesting that the intention-based prediction for a deviant can overwrite the prediction derived from the auditory regularity (predicting a standard). The P3a was present for each deviant type but was largest for mispredicted deviants. It is argued that the processes underlying P3a not only evaluate the deviant with respect to the fact that it violates an auditory regularity but also with respect to the intended sensorial effect of an action. Overall, our results specify current theories of auditory predictive processing, as they reveal that intention-based predictions exert different effects on different deviance-specific brain responses. Frontiers Media S.A. 2022-09-28 /pmc/articles/PMC9554204/ /pubmed/36248631 http://dx.doi.org/10.3389/fnins.2022.995119 Text en Copyright © 2022 Widmann and Schröger. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Widmann, Andreas
Schröger, Erich
Intention-based predictive information modulates auditory deviance processing
title Intention-based predictive information modulates auditory deviance processing
title_full Intention-based predictive information modulates auditory deviance processing
title_fullStr Intention-based predictive information modulates auditory deviance processing
title_full_unstemmed Intention-based predictive information modulates auditory deviance processing
title_short Intention-based predictive information modulates auditory deviance processing
title_sort intention-based predictive information modulates auditory deviance processing
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554204/
https://www.ncbi.nlm.nih.gov/pubmed/36248631
http://dx.doi.org/10.3389/fnins.2022.995119
work_keys_str_mv AT widmannandreas intentionbasedpredictiveinformationmodulatesauditorydevianceprocessing
AT schrogererich intentionbasedpredictiveinformationmodulatesauditorydevianceprocessing