Literature DB >> 31606386

Neural Entrainment and Attentional Selection in the Listening Brain.

Jonas Obleser1, Christoph Kayser2.   

Abstract

The streams of sounds we typically attend to abound in acoustic regularities. Neural entrainment is seen as an important mechanism that the listening brain exploits to attune to these regularities and to enhance the representation of attended sounds. We delineate the neurophysiology underlying this mechanism and review entrainment alongside its more pragmatic signature, often called 'speech tracking'. The latter has become a popular analytical approach to trace the reflection of acoustic and linguistic information at different levels of granularity, from neurophysiology to neuroimaging. As we discuss, the concept of entrainment offers both a putative neurophysiological mechanism for selective listening and a versatile window onto the neural basis of hearing and speech comprehension.
Copyright © 2019 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Keywords:  attention; auditory cortex; hearing; low-frequency oscillations; phase coding; speech tracking

Year:  2019        PMID: 31606386     DOI: 10.1016/j.tics.2019.08.004

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  67 in total

1.  Effects of auditory selective attention on neural phase: individual differences and short-term training.

Authors:  Aeron Laffere; Fred Dick; Adam Tierney
Journal:  Neuroimage       Date:  2020-03-10       Impact factor: 6.556

2.  Entrainment revisited: a commentary on.

Authors:  Saskia Haegens
Journal:  Lang Cogn Neurosci       Date:  2020-05-12       Impact factor: 2.331

3.  Spatial Attention and Temporal Expectation Exert Differential Effects on Visual and Auditory Discrimination.

Authors:  Anna Wilsch; Manuel R Mercier; Jonas Obleser; Charles E Schroeder; Saskia Haegens
Journal:  J Cogn Neurosci       Date:  2020-04-22       Impact factor: 3.225

4.  Oscillatory Entrainment of the Frequency-following Response in Auditory Cortical and Subcortical Structures.

Authors:  Emily B J Coffey; Isabelle Arseneau-Bruneau; Xiaochen Zhang; Sylvain Baillet; Robert J Zatorre
Journal:  J Neurosci       Date:  2021-03-17       Impact factor: 6.167

5.  An oscillating computational model can track pseudo-rhythmic speech by using linguistic predictions.

Authors:  Sanne Ten Oever; Andrea E Martin
Journal:  Elife       Date:  2021-08-02       Impact factor: 8.140

6.  Linguistic Structure and Meaning Organize Neural Oscillations into a Content-Specific Hierarchy.

Authors:  Greta Kaufeld; Hans Rutger Bosker; Sanne Ten Oever; Phillip M Alday; Antje S Meyer; Andrea E Martin
Journal:  J Neurosci       Date:  2020-10-23       Impact factor: 6.167

7.  Classical music, educational learning, and slow wave sleep: A targeted memory reactivation experiment.

Authors:  Chenlu Gao; Paul Fillmore; Michael K Scullin
Journal:  Neurobiol Learn Mem       Date:  2020-03-04       Impact factor: 2.877

8.  Dynamic Time-Locking Mechanism in the Cortical Representation of Spoken Words.

Authors:  A Nora; A Faisal; J Seol; H Renvall; E Formisano; R Salmelin
Journal:  eNeuro       Date:  2020-08-31

9.  Rapid computations of spectrotemporal prediction error support perception of degraded speech.

Authors:  Ediz Sohoglu; Matthew H Davis
Journal:  Elife       Date:  2020-11-04       Impact factor: 8.140

10.  Frequency Selectivity of Persistent Cortical Oscillatory Responses to Auditory Rhythmic Stimulation.

Authors:  Jacques Pesnot Lerousseau; Agnès Trébuchon; Benjamin Morillon; Daniele Schön
Journal:  J Neurosci       Date:  2021-07-22       Impact factor: 6.167

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