Literature DB >> 34732519

Neural Markers of Speech Comprehension: Measuring EEG Tracking of Linguistic Speech Representations, Controlling the Speech Acoustics.

Marlies Gillis1, Jonas Vanthornhout2, Jonathan Z Simon3, Tom Francart1, Christian Brodbeck4.   

Abstract

When listening to speech, our brain responses time lock to acoustic events in the stimulus. Recent studies have also reported that cortical responses track linguistic representations of speech. However, tracking of these representations is often described without controlling for acoustic properties. Therefore, the response to these linguistic representations might reflect unaccounted acoustic processing rather than language processing. Here, we evaluated the potential of several recently proposed linguistic representations as neural markers of speech comprehension. To do so, we investigated EEG responses to audiobook speech of 29 participants (22 females). We examined whether these representations contribute unique information over and beyond acoustic neural tracking and each other. Indeed, not all of these linguistic representations were significantly tracked after controlling for acoustic properties. However, phoneme surprisal, cohort entropy, word surprisal, and word frequency were all significantly tracked over and beyond acoustic properties. We also tested the generality of the associated responses by training on one story and testing on another. In general, the linguistic representations are tracked similarly across different stories spoken by different readers. These results suggests that these representations characterize the processing of the linguistic content of speech.SIGNIFICANCE STATEMENT For clinical applications, it would be desirable to develop a neural marker of speech comprehension derived from neural responses to continuous speech. Such a measure would allow for behavior-free evaluation of speech understanding; this would open doors toward better quantification of speech understanding in populations from whom obtaining behavioral measures may be difficult, such as young children or people with cognitive impairments, to allow better targeted interventions and better fitting of hearing devices.
Copyright © 2021 the authors.

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Year:  2021        PMID: 34732519      PMCID: PMC8672699          DOI: 10.1523/JNEUROSCI.0812-21.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  35 in total

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Journal:  Nat Rev Neurosci       Date:  2008-12       Impact factor: 34.870

3.  Prediction During Natural Language Comprehension.

Authors:  Roel M Willems; Stefan L Frank; Annabel D Nijhof; Peter Hagoort; Antal van den Bosch
Journal:  Cereb Cortex       Date:  2015-04-22       Impact factor: 5.357

4.  EEG can predict speech intelligibility.

Authors:  Ivan Iotzov; Lucas C Parra
Journal:  J Neural Eng       Date:  2019-02-18       Impact factor: 5.379

5.  Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG.

Authors:  James A O'Sullivan; Alan J Power; Nima Mesgarani; Siddharth Rajaram; John J Foxe; Barbara G Shinn-Cunningham; Malcolm Slaney; Shihab A Shamma; Edmund C Lalor
Journal:  Cereb Cortex       Date:  2014-01-15       Impact factor: 5.357

6.  The effect of head-related filtering and ear-specific decoding bias on auditory attention detection.

Authors:  Neetha Das; Wouter Biesmans; Alexander Bertrand; Tom Francart
Journal:  J Neural Eng       Date:  2016-09-13       Impact factor: 5.379

7.  Functional parallelism in spoken word-recognition.

Authors:  W D Marslen-Wilson
Journal:  Cognition       Date:  1987-03

Review 8.  Thirty years and counting: finding meaning in the N400 component of the event-related brain potential (ERP).

Authors:  Marta Kutas; Kara D Federmeier
Journal:  Annu Rev Psychol       Date:  2011       Impact factor: 24.137

9.  Human cortical responses to the speech envelope.

Authors:  Steven J Aiken; Terence W Picton
Journal:  Ear Hear       Date:  2008-04       Impact factor: 3.570

10.  Neural speech restoration at the cocktail party: Auditory cortex recovers masked speech of both attended and ignored speakers.

Authors:  Christian Brodbeck; Alex Jiao; L Elliot Hong; Jonathan Z Simon
Journal:  PLoS Biol       Date:  2020-10-22       Impact factor: 8.029

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  7 in total

1.  A hierarchy of linguistic predictions during natural language comprehension.

Authors:  Micha Heilbron; Kristijan Armeni; Jan-Mathijs Schoffelen; Peter Hagoort; Floris P de Lange
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-03       Impact factor: 12.779

2.  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

3.  Research Hotspots and Trends of Peripheral Nerve Injuries Based on Web of Science From 2017 to 2021: A Bibliometric Analysis.

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4.  Editorial: Neural Tracking: Closing the Gap Between Neurophysiology and Translational Medicine.

Authors:  Giovanni M Di Liberto; Jens Hjortkjær; Nima Mesgarani
Journal:  Front Neurosci       Date:  2022-03-16       Impact factor: 5.152

5.  The neural response at the fundamental frequency of speech is modulated by word-level acoustic and linguistic information.

Authors:  Mikolaj Kegler; Hugo Weissbart; Tobias Reichenbach
Journal:  Front Neurosci       Date:  2022-07-22       Impact factor: 5.152

6.  Cortical tracking of voice pitch in the presence of multiple speakers depends on selective attention.

Authors:  Christian Brodbeck; Jonathan Z Simon
Journal:  Front Neurosci       Date:  2022-08-08       Impact factor: 5.152

7.  Parallel processing in speech perception with local and global representations of linguistic context.

Authors:  Christian Brodbeck; Shohini Bhattasali; Aura A L Cruz Heredia; Philip Resnik; Jonathan Z Simon; Ellen Lau
Journal:  Elife       Date:  2022-01-21       Impact factor: 8.140

  7 in total

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