Violation of auditory regularities is reflected in pupil dynamics.

Autor: Basgol H; Department of Computer Science, University of Tübingen, Tübingen, Germany; Experimental Cognitive Science, University of Tübingen, Tübingen, Germany; The Graduate Training Centre of Neuroscience, University of Tübingen, Tübingen, Germany. Electronic address: hamit.basgoel@uni-tuebingen.de., Dayan P; Department of Computer Science, University of Tübingen, Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany. Electronic address: dayan@tue.mpg.de., Franz VH; Department of Computer Science, University of Tübingen, Tübingen, Germany; Experimental Cognitive Science, University of Tübingen, Tübingen, Germany. Electronic address: volker.franz@uni-tuebingen.de.
Jazyk: angličtina
Zdroj: Cortex; a journal devoted to the study of the nervous system and behavior [Cortex] 2024 Nov 22; Vol. 183, pp. 66-86. Date of Electronic Publication: 2024 Nov 22.
DOI: 10.1016/j.cortex.2024.10.023
Abstrakt: The brain builds and maintains internal models and uses them to make predictions. When predictions are violated, the current model can either be updated or replaced by a new model. The latter is accompanied by pupil dilation responses (PDRs) related to locus coeruleus activity/norepinephrine release (LC-NE). Following earlier research, we investigated PDRs associated with transitions between regular and random patterns of tones in auditory sequences. We presented these sequences to participants and instructed them to find gaps (to maintain attention). Transitions from regular to random patterns induced PDRs, suggesting that an internal model attuned to the regular pattern is reset. Transitions from one regular pattern to another regular pattern also induced PDRs, suggesting that they also led to a model reset. In contrast, transitions from random patterns to regular patterns did not induce PDRs, suggesting a gradual update of model parameters. We modelled these findings, using pupil response functions to show how ongoing PDRs and pupil event rates were sensitive to the trial-by-trial changes in the information content of the auditory sequences. Expanding on previous research, we suggest that PDRs-as biomarkers for LC-NE activation-may indicate the extent of prediction violations.
(Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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