Literature DB >> 34645605

Broadband Dynamics Rather than Frequency-Specific Rhythms Underlie Prediction Error in the Primate Auditory Cortex.

Andrés Canales-Johnson1,2, Ana Filipa Teixeira Borges3, Misako Komatsu4, Naotaka Fujii4, Johannes J Fahrenfort5,6, Kai J Miller7, Valdas Noreika8.   

Abstract

Detection of statistical irregularities, measured as a prediction error response, is fundamental to the perceptual monitoring of the environment. We studied whether prediction error response is associated with neural oscillations or asynchronous broadband activity. Electrocorticography was conducted in three male monkeys, who passively listened to the auditory roving oddball stimuli. Local field potentials (LFPs) recorded over the auditory cortex underwent spectral principal component analysis, which decoupled broadband and rhythmic components of the LFP signal. We found that the broadband component captured the prediction error response, whereas none of the rhythmic components were associated with statistical irregularities of sounds. The broadband component displayed more stochastic, asymmetrical multifractal properties than the rhythmic components, which revealed more self-similar dynamics. We thus conclude that the prediction error response is captured by neuronal populations generating asynchronous broadband activity, defined by irregular dynamic states, which, unlike oscillatory rhythms, appear to enable the neural representation of auditory prediction error response.SIGNIFICANCE STATEMENT This study aimed to examine the contribution of oscillatory and asynchronous components of auditory local field potentials in the generation of prediction error responses to sensory irregularities, as this has not been directly addressed in the previous studies. Here, we show that mismatch negativity-an auditory prediction error response-is driven by the asynchronous broadband component of potentials recorded in the auditory cortex. This finding highlights the importance of nonoscillatory neural processes in the predictive monitoring of the environment. At a more general level, the study demonstrates that stochastic neural processes, which are often disregarded as neural noise, do have a functional role in the processing of sensory information.
Copyright © 2021 the authors.

Entities:  

Keywords:  auditory cortex; broadband response; mismatch negativity; multiscale multifractal analysis; prediction error; rhythmic components

Mesh:

Year:  2021        PMID: 34645605      PMCID: PMC8580146          DOI: 10.1523/JNEUROSCI.0367-21.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  116 in total

1.  Demonstration of mismatch negativity in the monkey.

Authors:  D C Javitt; C E Schroeder; M Steinschneider; J C Arezzo; H G Vaughan
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1992-07

2.  Detection of muscle artefact in the normal human awake EEG.

Authors:  M van de Velde; G van Erp; P J Cluitmans
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1998-08

3.  Event-related gamma band activity during passive and active oddball tasks.

Authors:  L Marshall; M Mölle; P Bartsch
Journal:  Neuroreport       Date:  1996-06-17       Impact factor: 1.837

4.  Large-Scale Cortical Networks for Hierarchical Prediction and Prediction Error in the Primate Brain.

Authors:  Zenas C Chao; Kana Takaura; Liping Wang; Naotaka Fujii; Stanislas Dehaene
Journal:  Neuron       Date:  2018-10-25       Impact factor: 17.173

5.  Hierarchy of prediction errors for auditory events in human temporal and frontal cortex.

Authors:  Stefan Dürschmid; Erik Edwards; Christoph Reichert; Callum Dewar; Hermann Hinrichs; Hans-Jochen Heinze; Heidi E Kirsch; Sarang S Dalal; Leon Y Deouell; Robert T Knight
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-31       Impact factor: 11.205

6.  Temporo-frontal phase synchronization supports hierarchical network for mismatch negativity.

Authors:  Shannon E MacLean; Lawrence M Ward
Journal:  Clin Neurophysiol       Date:  2014-01-11       Impact factor: 3.708

7.  Early selective-attention effect on evoked potential reinterpreted.

Authors:  R Näätänen; A W Gaillard; S Mäntysalo
Journal:  Acta Psychol (Amst)       Date:  1978-07

8.  Event-related brain potential correlates of human auditory sensory memory-trace formation.

Authors:  Corinna Haenschel; David J Vernon; Prabuddh Dwivedi; John H Gruzelier; Torsten Baldeweg
Journal:  J Neurosci       Date:  2005-11-09       Impact factor: 6.167

9.  The asynchronous state in cortical circuits.

Authors:  Alfonso Renart; Jaime de la Rocha; Peter Bartho; Liad Hollender; Néstor Parga; Alex Reyes; Kenneth D Harris
Journal:  Science       Date:  2010-01-29       Impact factor: 47.728

10.  Attention, uncertainty, and free-energy.

Authors:  Harriet Feldman; Karl J Friston
Journal:  Front Hum Neurosci       Date:  2010-12-02       Impact factor: 3.169

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  2 in total

1.  Stimulus-induced changes in 1/f-like background activity in EEG.

Authors:  Máté Gyurkovics; Grace M Clements; Kathy A Low; Monica Fabiani; Gabriele Gratton
Journal:  J Neurosci       Date:  2022-08-12       Impact factor: 6.709

2.  Predictive coding of natural images by V1 firing rates and rhythmic synchronization.

Authors:  Cem Uran; Alina Peter; Andreea Lazar; William Barnes; Johanna Klon-Lipok; Katharine A Shapcott; Rasmus Roese; Pascal Fries; Wolf Singer; Martin Vinck
Journal:  Neuron       Date:  2022-02-03       Impact factor: 18.688

  2 in total

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