A predictive coding perspective on beta oscillations during sentence-level language comprehension

Ashley G. Lewis, Jan-Mathijs Schoffelen, Herbert Schriefers, Marcel Bastiaansen

Research output: Contribution to journalArticleScientificpeer-review

61 Downloads (Pure)

Abstract

Oscillatory neural dynamics have been steadily receiving more attention as a robust and temporally precise signature of network activity related to language processing. We have recently proposed that oscillatory dynamics in the beta and gamma frequency ranges measured during sentence-level comprehension might be best explained from a predictive coding perspective. Under our proposal we related beta oscillations to both the maintenance/change of the neural network configuration responsible for the construction and representation of sentence-level meaning, and to top–down predictions about upcoming linguistic input based on that sentence-level meaning. Here we zoom in on these particular aspects of our proposal, and discuss both old and new supporting evidence. Finally, we present some preliminary magnetoencephalography data from an experiment comparing Dutch subject- and object-relative clauses that was specifically designed to test our predictive coding framework. Initial results support the first of the two suggested roles for beta oscillations in sentence-level language comprehension.
Original languageEnglish
JournalFrontiers in Human Neuroscience
Volume10
DOIs
Publication statusPublished - 2016

Keywords

  • language comprehension
  • neural oscillations
  • beta
  • predictive coding
  • EEG
  • MEG

Cite this

@article{13bb80b660084233b87af04c26c137bb,
title = "A predictive coding perspective on beta oscillations during sentence-level language comprehension",
abstract = "Oscillatory neural dynamics have been steadily receiving more attention as a robust and temporally precise signature of network activity related to language processing. We have recently proposed that oscillatory dynamics in the beta and gamma frequency ranges measured during sentence-level comprehension might be best explained from a predictive coding perspective. Under our proposal we related beta oscillations to both the maintenance/change of the neural network configuration responsible for the construction and representation of sentence-level meaning, and to top–down predictions about upcoming linguistic input based on that sentence-level meaning. Here we zoom in on these particular aspects of our proposal, and discuss both old and new supporting evidence. Finally, we present some preliminary magnetoencephalography data from an experiment comparing Dutch subject- and object-relative clauses that was specifically designed to test our predictive coding framework. Initial results support the first of the two suggested roles for beta oscillations in sentence-level language comprehension.",
keywords = "language comprehension, neural oscillations, beta, predictive coding, EEG, MEG",
author = "Lewis, {Ashley G.} and Jan-Mathijs Schoffelen and Herbert Schriefers and Marcel Bastiaansen",
note = "Affiliatie: 1. Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands 2. Academy for Leisure, NHTV Breda University of Applied Sciences, Breda, Netherlands",
year = "2016",
doi = "10.3389/fnhum.2016.00085",
language = "English",
volume = "10",
journal = "Frontiers in Human Neuroscience",
issn = "1662-5161",
publisher = "Frontiers Media S.A.",

}

A predictive coding perspective on beta oscillations during sentence-level language comprehension. / Lewis, Ashley G.; Schoffelen, Jan-Mathijs; Schriefers, Herbert; Bastiaansen, Marcel.

In: Frontiers in Human Neuroscience, Vol. 10, 2016.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A predictive coding perspective on beta oscillations during sentence-level language comprehension

AU - Lewis, Ashley G.

AU - Schoffelen, Jan-Mathijs

AU - Schriefers, Herbert

AU - Bastiaansen, Marcel

N1 - Affiliatie: 1. Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands 2. Academy for Leisure, NHTV Breda University of Applied Sciences, Breda, Netherlands

PY - 2016

Y1 - 2016

N2 - Oscillatory neural dynamics have been steadily receiving more attention as a robust and temporally precise signature of network activity related to language processing. We have recently proposed that oscillatory dynamics in the beta and gamma frequency ranges measured during sentence-level comprehension might be best explained from a predictive coding perspective. Under our proposal we related beta oscillations to both the maintenance/change of the neural network configuration responsible for the construction and representation of sentence-level meaning, and to top–down predictions about upcoming linguistic input based on that sentence-level meaning. Here we zoom in on these particular aspects of our proposal, and discuss both old and new supporting evidence. Finally, we present some preliminary magnetoencephalography data from an experiment comparing Dutch subject- and object-relative clauses that was specifically designed to test our predictive coding framework. Initial results support the first of the two suggested roles for beta oscillations in sentence-level language comprehension.

AB - Oscillatory neural dynamics have been steadily receiving more attention as a robust and temporally precise signature of network activity related to language processing. We have recently proposed that oscillatory dynamics in the beta and gamma frequency ranges measured during sentence-level comprehension might be best explained from a predictive coding perspective. Under our proposal we related beta oscillations to both the maintenance/change of the neural network configuration responsible for the construction and representation of sentence-level meaning, and to top–down predictions about upcoming linguistic input based on that sentence-level meaning. Here we zoom in on these particular aspects of our proposal, and discuss both old and new supporting evidence. Finally, we present some preliminary magnetoencephalography data from an experiment comparing Dutch subject- and object-relative clauses that was specifically designed to test our predictive coding framework. Initial results support the first of the two suggested roles for beta oscillations in sentence-level language comprehension.

KW - language comprehension

KW - neural oscillations

KW - beta

KW - predictive coding

KW - EEG

KW - MEG

U2 - 10.3389/fnhum.2016.00085

DO - 10.3389/fnhum.2016.00085

M3 - Article

VL - 10

JO - Frontiers in Human Neuroscience

JF - Frontiers in Human Neuroscience

SN - 1662-5161

ER -