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  “What” and “when” predictions modulate auditory processing in a mutually congruent manner

Cappotto, D., Luo, D., Lai, H. W., Peng, F., Melloni, L., Schnupp, J. W. H., et al. (2023). “What” and “when” predictions modulate auditory processing in a mutually congruent manner. Frontiers in Neuroscience, 17: 1180066. doi:10.3389/fnins.2023.1180066.

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Copyright © 2023 Cappotto, Luo, Lai, Peng, Melloni, Schnupp and Auksztulewicz. 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.

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 Creators:
Cappotto, Drew1, 2, Author
Luo, Dan1, Author
Lai, Hiu Wai1, Author
Peng, Fei1, Author
Melloni, Lucia3, 4, Author                 
Schnupp, Jan Wilbert Hendrik1, Author
Auksztulewicz, Ryszard1, 3, 5, Author                 
Affiliations:
1Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong SAR, China, ou_persistent22              
2Ear Institute, University College London, London, United Kingdom, ou_persistent22              
3Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421697              
4Department of Neurology, NYU Grossman School of Medicine, New York, NY, United States, ou_persistent22              
5Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany, ou_persistent22              

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Free keywords: auditory neuroscience, predictive coding, temporal processing, electroencephalography, dynamic causal modeling
 Abstract: Introduction: Extracting regularities from ongoing stimulus streams to form predictions is crucial for adaptive behavior. Such regularities exist in terms of the content of the stimuli and their timing, both of which are known to interactively modulate sensory processing. In real-world stimulus streams such as music, regularities can occur at multiple levels, both in terms of contents (e.g., predictions relating to individual notes vs. their more complex groups) and timing (e.g., pertaining to timing between intervals vs. the overall beat of a musical phrase). However, it is unknown whether the brain integrates predictions in a manner that is mutually congruent (e.g., if “beat” timing predictions selectively interact with “what” predictions falling on pulses which define the beat), and whether integrating predictions in different timing conditions relies on dissociable neural correlates.

Methods: To address these questions, our study manipulated “what” and “when” predictions at different levels – (local) interval-defining and (global) beat-defining – within the same stimulus stream, while neural activity was recorded using electroencephalogram (EEG) in participants (N = 20) performing a repetition detection task.

Results: Our results reveal that temporal predictions based on beat or interval timing modulated mismatch responses to violations of “what” predictions happening at the predicted time points, and that these modulations were shared between types of temporal predictions in terms of the spatiotemporal distribution of EEG signals. Effective connectivity analysis using dynamic causal modeling showed that the integration of “what” and “when” predictions selectively increased connectivity at relatively late cortical processing stages, between the superior temporal gyrus and the fronto-parietal network.

Discussion: Taken together, these results suggest that the brain integrates different predictions with a high degree of mutual congruence, but in a shared and distributed cortical network. This finding contrasts with recent studies indicating separable mechanisms for beat-based and memory-based predictive processing.

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Language(s): eng - English
 Dates: 2023-03-052023-08-042023-09-15
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fnins.2023.1180066
 Degree: -

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Title: Frontiers in Neuroscience
  Other : Front Neurosci
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 17 Sequence Number: 1180066 Start / End Page: - Identifier: ISSN: 1662-4548
ISSN: 1662-453X
CoNE: https://pure.mpg.de/cone/journals/resource/1662-4548