Low-frequency oscillatory correlates of auditory predictive processing in cortical-subcortical networks: a MEG-study

Recasens, M., Gross, J. and Uhlhaas, P. J. (2018) Low-frequency oscillatory correlates of auditory predictive processing in cortical-subcortical networks: a MEG-study. Scientific Reports, 8, 14007. (doi: 10.1038/s41598-018-32385-3) (PMID:30228366) (PMCID:PMC6143554)

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Abstract

Emerging evidence supports the role of neural oscillations as a mechanism for predictive information processing across large-scale networks. However, the oscillatory signatures underlying auditory mismatch detection and information flow between brain regions remain unclear. To address this issue, we examined the contribution of oscillatory activity at theta/alpha-bands (4–8/8–13 Hz) and assessed directed connectivity in magnetoencephalographic data while 17 human participants were presented with sound sequences containing predictable repetitions and order manipulations that elicited prediction-error responses. We characterized the spectro-temporal properties of neural generators using a minimum-norm approach and assessed directed connectivity using Granger Causality analysis. Mismatching sequences elicited increased theta power and phase-locking in auditory, hippocampal and prefrontal cortices, suggesting that theta-band oscillations underlie prediction-error generation in cortical-subcortical networks. Furthermore, enhanced feedforward theta/alpha-band connectivity was observed in auditory-prefrontal networks during mismatching sequences, while increased feedback connectivity in the alpha-band was observed between hippocampus and auditory regions during predictable sounds. Our findings highlight the involvement of hippocampal theta/alpha-band oscillations towards auditory prediction-error generation and suggest a spectral dissociation between inter-areal feedforward vs. feedback signalling, thus providing novel insights into the oscillatory mechanisms underlying auditory predictive processing.

Item Type:Articles
Additional Information:This work was supported by a research grant from Lilly UK to P. Uhlhaas.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Uhlhaas, Professor Peter and Recasens, Dr Marc and Gross, Professor Joachim
Authors: Recasens, M., Gross, J., and Uhlhaas, P. J.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:Scientific Reports
Publisher:Nature Publishing Group
ISSN:2045-2322
ISSN (Online):2045-2322
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Scientific Reports 8:14007
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
717411PREDAMEGPeter UhlhaasEuropean Commission (EC)708138RI NEUROSCIENCE & PSYCHOLOGY