Literature DB >> 30292959

Cortical correlates of speech intelligibility measured using functional near-infrared spectroscopy (fNIRS).

Rachael J Lawrence1, Ian M Wiggins2, Carly A Anderson3, Jodie Davies-Thompson4, Douglas E H Hartley5.   

Abstract

Functional neuroimaging has identified that the temporal, frontal and parietal cortex support core aspects of speech processing. An objective measure of speech intelligibility based on cortical activation in these brain regions would be extremely useful to speech communication and hearing device applications. In the current study, we used noise-vocoded speech to examine cortical correlates of speech intelligibility in normally-hearing listeners using functional near-infrared spectroscopy (fNIRS), a non-invasive, neuroimaging technique that is fully-compatible with hearing devices, including cochlear implants. In twenty-three normally-hearing adults we measured (1) activation in superior temporal, inferior frontal and inferior parietal cortex bilaterally and (2) behavioural speech intelligibility. Listeners heard noise-vocoded sentences targeting five equally spaced levels of intelligibility between 0 and 100% correct. Activation in superior temporal regions increased linearly with intelligibility. This relationship appears to have been driven in part by changing acoustic properties across stimulation conditions, rather than solely by intelligibility per se. Superior temporal activation was also predictive of individual differences in intelligibility in a challenging listening condition. Beyond superior temporal cortex, we identified regions in which activation varied non-linearly with intelligibility. For example, in left inferior frontal cortex, activation peaked in response to heavily degraded, yet still somewhat intelligible, speech. Activation in this region was linearly related to response time on a simultaneous behavioural task, suggesting it may contribute to decision making. Our results indicate that fNIRS has the potential to provide an objective measure of speech intelligibility in normally-hearing listeners. Should these results be found to apply similarly in the case of individuals listening through a cochlear implant, fNIRS would demonstrate potential for a clinically useful measure not only of speech intelligibility, but also of listening effort. Crown
Copyright © 2018. Published by Elsevier B.V. All rights reserved.

Keywords:  Auditory cortex; Functional near-infrared spectroscopy; Neuroimaging; Speech comprehension; fNIRS

Mesh:

Year:  2018        PMID: 30292959     DOI: 10.1016/j.heares.2018.09.005

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  11 in total

1.  Prefrontal cortex supports speech perception in listeners with cochlear implants.

Authors:  Arefeh Sherafati; Noel Dwyer; Aahana Bajracharya; Mahlega Samira Hassanpour; Adam T Eggebrecht; Jill B Firszt; Joseph P Culver; Jonathan E Peelle
Journal:  Elife       Date:  2022-06-06       Impact factor: 8.713

2.  Neural Activity During Audiovisual Speech Processing: Protocol For a Functional Neuroimaging Study.

Authors:  András Bálint; Wilhelm Wimmer; Marco Caversaccio; Stefan Weder
Journal:  JMIR Res Protoc       Date:  2022-06-21

3.  Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm.

Authors:  Robert Luke; Eric Larson; Maureen J Shader; Hamish Innes-Brown; Lindsey Van Yper; Adrian K C Lee; Paul F Sowman; David McAlpine
Journal:  Neurophotonics       Date:  2021-05-22       Impact factor: 3.593

4.  Cortical imbalance following delayed restoration of bilateral hearing in deaf adolescents.

Authors:  Carly A Anderson; Sharon L Cushing; Blake C Papsin; Karen A Gordon
Journal:  Hum Brain Mapp       Date:  2022-04-15       Impact factor: 5.399

5.  Effects of degraded speech processing and binaural unmasking investigated using functional near-infrared spectroscopy (fNIRS).

Authors:  Xin Zhou; Gabriel S Sobczak; Colette M McKay; Ruth Y Litovsky
Journal:  PLoS One       Date:  2022-04-25       Impact factor: 3.752

6.  Evaluating time-reversed speech and signal-correlated noise as auditory baselines for isolating speech-specific processing using fNIRS.

Authors:  Faizah Mushtaq; Ian M Wiggins; Pádraig T Kitterick; Carly A Anderson; Douglas E H Hartley
Journal:  PLoS One       Date:  2019-07-17       Impact factor: 3.240

7.  Functional Near-Infrared Spectroscopy as a Measure of Listening Effort in Older Adults Who Use Hearing Aids.

Authors:  Joseph Rovetti; Huiwen Goy; M Kathleen Pichora-Fuller; Frank A Russo
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

8.  Comparing fNIRS signal qualities between approaches with and without short channels.

Authors:  Xin Zhou; Gabriel Sobczak; Colette M McKay; Ruth Y Litovsky
Journal:  PLoS One       Date:  2020-12-23       Impact factor: 3.240

9.  Evaluating cortical responses to speech in children: A functional near-infrared spectroscopy (fNIRS) study.

Authors:  Rachael J Lawrence; Ian M Wiggins; Jessica C Hodgson; Douglas E H Hartley
Journal:  Hear Res       Date:  2020-12-15       Impact factor: 3.208

10.  fNIRS Assessment of Speech Comprehension in Children with Normal Hearing and Children with Hearing Aids in Virtual Acoustic Environments: Pilot Data and Practical Recommendations.

Authors:  Laura Bell; Z Ellen Peng; Florian Pausch; Vanessa Reindl; Christiane Neuschaefer-Rube; Janina Fels; Kerstin Konrad
Journal:  Children (Basel)       Date:  2020-11-07
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