Mapping adaptation, deviance detection, and prediction error in auditory processing.
Deviance detection
Mismatch negativity
N1
Prediction error
Repetition suppression
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 02 2020
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
116432Informations 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.