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Detecting cortical responses to continuous running speech using EEG data from only one channel

Detecting cortical responses to continuous running speech using EEG data from only one channel
Detecting cortical responses to continuous running speech using EEG data from only one channel
Objective: To explore the detection of cortical responses to continuous speech using a single EEG channel. Particularly, to compare detection rates and times using a cross-correlation approach and parameters extracted from the temporal response function (TRF).

Design: EEG from 32-channels were recorded whilst presenting 25-min continuous English speech. Detection parameters were cross-correlation between speech and EEG (XCOR), peak value and power of the TRF filter (TRF-peak and TRF-power), and correlation between predicted TRF and true EEG (TRF-COR). A bootstrap analysis was used to determine response statistical significance. Different electrode configurations were compared: Using single channels Cz or Fz, or selecting channels with the highest correlation value.

Study sample: Seventeen native English-speaking subjects with mild-to-moderate hearing loss.

Results: Significant cortical responses were detected from all subjects at Fz channel with XCOR and TRFCOR. Lower detection time was seen for XCOR (mean ¼ 4.8 min) over TRF parameters (best TRF-COR, mean ¼ 6.4 min), with significant time differences from XCOR to TRF-peak and TRF-power. Analysing multiple EEG channels and testing channels with the highest correlation between envelope and EEG reduced detection sensitivity compared to Fz alone.

Conclusions: Cortical responses to continuous speech can be detected from a single channel with recording times that may be suitable for clinical application.
Electrophysiology, bootstrapping, continuous speech, cortical responses, cross-correlation, temporal response function
1499-2027
Aljarboa, Ghadah, Salem
27b9a056-1941-423b-a3f2-87f851cbbf6c
Bell, Steven
91de0801-d2b7-44ba-8e8e-523e672aed8a
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Aljarboa, Ghadah, Salem
27b9a056-1941-423b-a3f2-87f851cbbf6c
Bell, Steven
91de0801-d2b7-44ba-8e8e-523e672aed8a
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a

Aljarboa, Ghadah, Salem, Bell, Steven and Simpson, David (2022) Detecting cortical responses to continuous running speech using EEG data from only one channel. International Journal of Audiology. (doi:10.1080/14992027.2022.2035832).

Record type: Article

Abstract

Objective: To explore the detection of cortical responses to continuous speech using a single EEG channel. Particularly, to compare detection rates and times using a cross-correlation approach and parameters extracted from the temporal response function (TRF).

Design: EEG from 32-channels were recorded whilst presenting 25-min continuous English speech. Detection parameters were cross-correlation between speech and EEG (XCOR), peak value and power of the TRF filter (TRF-peak and TRF-power), and correlation between predicted TRF and true EEG (TRF-COR). A bootstrap analysis was used to determine response statistical significance. Different electrode configurations were compared: Using single channels Cz or Fz, or selecting channels with the highest correlation value.

Study sample: Seventeen native English-speaking subjects with mild-to-moderate hearing loss.

Results: Significant cortical responses were detected from all subjects at Fz channel with XCOR and TRFCOR. Lower detection time was seen for XCOR (mean ¼ 4.8 min) over TRF parameters (best TRF-COR, mean ¼ 6.4 min), with significant time differences from XCOR to TRF-peak and TRF-power. Analysing multiple EEG channels and testing channels with the highest correlation between envelope and EEG reduced detection sensitivity compared to Fz alone.

Conclusions: Cortical responses to continuous speech can be detected from a single channel with recording times that may be suitable for clinical application.

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14992027.2022 (1) - Version of Record
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More information

Accepted/In Press date: 24 January 2022
Published date: 13 February 2022
Additional Information: Funding Information: This project was funded by the Engineering and Physical Sciences Research Council, United Kingdom (Grant No. EP/M026728/1). Publisher Copyright: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.
Keywords: Electrophysiology, bootstrapping, continuous speech, cortical responses, cross-correlation, temporal response function

Identifiers

Local EPrints ID: 455636
URI: http://eprints.soton.ac.uk/id/eprint/455636
ISSN: 1499-2027
PURE UUID: 3c1176c1-4557-4f8d-967f-22cffbf2cb5d
ORCID for David Simpson: ORCID iD orcid.org/0000-0001-9072-5088

Catalogue record

Date deposited: 29 Mar 2022 16:48
Last modified: 07 Sep 2022 01:39

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Contributors

Author: Ghadah, Salem Aljarboa
Author: Steven Bell
Author: David Simpson ORCID iD

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