Mapping adaptation, deviance detection, and prediction error in auditory processing.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 02 2020
Historique:
received: 04 07 2019
revised: 13 11 2019
accepted: 01 12 2019
pubmed: 7 12 2019
medline: 4 3 2021
entrez: 7 12 2019
Statut: ppublish

Résumé

Various studies have suggested that auditory deviance detection is organized in a hierarchical manner with ascending levels of complexity. Event-related potentials (ERP) are considered to reflect different cortical processing stages. In the current electroencephalographic study, we employed an auditory sequence oddball paradigm to investigate different levels of cortical auditory processing and the contribution of neuronal habituation and prediction error mechanism to N1 and Mismatch Negativity (MMN). Our findings suggest that N1 reflects a lower cortical process primarily involved in the encoding of simple physical features and is thus mainly modulated by neuronal attenuation and not complex top-down mechanisms. By analyzing within-sequence signal differences, we divided the MMN into distinct subcomponents reflecting different hierachical levels of auditory processing. We determined a "first-order" MMN that reflects the processing of simple deviant features (such as frequency) and "higher-order" MMNs that occur at regularity violation of complex patterns or unexpected inputs that do not allow further predictions. In our source localization analysis, both the primary auditory cortex and left IFG were primarily involved in the detection of simple, physically deviant features, while the right IFG was associated with the processing of novel, unexpected auditory inputs and the ACC with regularity violation of known patterns. Summarizing, our results might contribute to a better understanding of the different complexities of neuronal habituation and prediction error mechanisms at different levels of cortical auditory processing.

Identifiants

pubmed: 31809886
pii: S1053-8119(19)31023-7
doi: 10.1016/j.neuroimage.2019.116432
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116432

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest There is no conflict of interest, financial or otherwise, related to this work for any of the authors.

Auteurs

Christina Hofmann-Shen (C)

Department of Psychiatry, Charité University Medicine, Berlin, Germany; Department of Neurology, Charité University Medicine, Berlin, Germany. Electronic address: christina.hofmann@charite.de.

Bob O Vogel (BO)

Department of Psychiatry, Charité University Medicine, Berlin, Germany.

Maximillian Kaffes (M)

Department of Neurology, Charité University Medicine, Berlin, Germany.

Armin Rudolph (A)

Department of Psychiatry, Charité University Medicine, Berlin, Germany.

Elliot C Brown (EC)

Department of Decision Neuroscience and Nutrition, German Institute of Human Nutrition, Potsdam, Rehbruecke, Germany.

Cumhur Tas (C)

Department of Psychology, Faculty of Humanities and Social Sciences, Uskudar University, Istanbul, Turkey.

Martin Brüne (M)

Department of Psychiatry, Ruhr University, Bochum, Germany.

Andres H Neuhaus (AH)

Department of Psychiatry, Charité University Medicine, Berlin, Germany; Department of Psychiatry, Medical School, Brandenburg, Neuruppin, Germany.

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Classifications MeSH