Literature DB >> 29102808

Causal cortical dynamics of a predictive enhancement of speech intelligibility.

Giovanni M Di Liberto1, Edmund C Lalor2, Rebecca E Millman3.   

Abstract

Speech perception may be underpinned by a hierarchical cortical system, which attempts to match "external" incoming sensory inputs with "internal" top-down predictions. Prior knowledge modulates internal predictions of an upcoming stimulus and exerts its effects in temporal and inferior frontal cortex. Here, we used source-space magnetoencephalography (MEG) to study the spatiotemporal dynamics underpinning the integration of prior knowledge in the speech processing network. Prior knowledge was manipulated to i) increase the perceived intelligibility of speech sentences, and ii) dissociate the perceptual effects of changes in speech intelligibility from acoustical differences in speech stimuli. Cortical entrainment to the speech temporal envelope, which accounts for neural activity specifically related to sensory information, was affected by prior knowledge: This effect emerged early (∼50 ms) in left inferior frontal gyrus (IFG) and then (∼100 ms) in Heschl's gyrus (HG), and was sustained until latencies of ∼250 ms. Directed transfer function (DTF) measures were used for estimating direct Granger causal relations between locations of interest. In line with the cortical entrainment result, this analysis indicated that prior knowledge enhanced top-down connections from left IFG to all the left temporal areas of interest - namely HG, superior temporal sulcus (STS), and middle temporal gyrus (MTG). In addition, intelligible speech increased top-down information flow between left STS and left HG, and increased bottom-up flow in higher-order temporal cortex, specifically between STS and MTG. These results are compatible with theories that explain this mechanism as a result of both ascending and descending cortical interactions, such as predictive coding. Altogether, this study provides a detailed view of how, where and when prior knowledge influences continuous speech perception.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Beamforming; Entrainment; Magnetoencephalography; Speech intelligibility

Mesh:

Year:  2017        PMID: 29102808     DOI: 10.1016/j.neuroimage.2017.10.066

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  21 in total

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Authors:  Gavin M Bidelman; Breya Walker
Journal:  Neuroimage       Date:  2019-07-13       Impact factor: 6.556

2.  Envelope reconstruction of speech and music highlights stronger tracking of speech at low frequencies.

Authors:  Nathaniel J Zuk; Jeremy W Murphy; Richard B Reilly; Edmund C Lalor
Journal:  PLoS Comput Biol       Date:  2021-09-17       Impact factor: 4.475

3.  NLGC: Network localized Granger causality with application to MEG directional functional connectivity analysis.

Authors:  Behrad Soleimani; Proloy Das; I M Dushyanthi Karunathilake; Stefanie E Kuchinsky; Jonathan Z Simon; Behtash Babadi
Journal:  Neuroimage       Date:  2022-07-21       Impact factor: 7.400

4.  Speech Understanding Oppositely Affects Acoustic and Linguistic Neural Tracking in a Speech Rate Manipulation Paradigm.

Authors:  Eline Verschueren; Marlies Gillis; Lien Decruy; Jonas Vanthornhout; Tom Francart
Journal:  J Neurosci       Date:  2022-08-29       Impact factor: 6.709

5.  Modulation masking and fine structure shape neural envelope coding to predict speech intelligibility across diverse listening conditions.

Authors:  Vibha Viswanathan; Hari M Bharadwaj; Barbara G Shinn-Cunningham; Michael G Heinz
Journal:  J Acoust Soc Am       Date:  2021-09       Impact factor: 2.482

6.  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

7.  Focal versus distributed temporal cortex activity for speech sound category assignment.

Authors:  Sophie Bouton; Valérian Chambon; Rémi Tyrand; Adrian G Guggisberg; Margitta Seeck; Sami Karkar; Dimitri van de Ville; Anne-Lise Giraud
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-23       Impact factor: 11.205

8.  Infant-directed speech facilitates seven-month-old infants' cortical tracking of speech.

Authors:  Marina Kalashnikova; Varghese Peter; Giovanni M Di Liberto; Edmund C Lalor; Denis Burnham
Journal:  Sci Rep       Date:  2018-09-13       Impact factor: 4.379

9.  Using Coherence-based spectro-spatial filters for stimulus features prediction from electro-corticographic recordings.

Authors:  Jaime Delgado Saa; Andy Christen; Stephanie Martin; Brian N Pasley; Robert T Knight; Anne-Lise Giraud
Journal:  Sci Rep       Date:  2020-05-06       Impact factor: 4.379

10.  Tracking Temporal Hazard in the Human Electroencephalogram Using a Forward Encoding Model.

Authors:  Sophie K Herbst; Lorenz Fiedler; Jonas Obleser
Journal:  eNeuro       Date:  2018-05-08
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