Ear-EEG Measures of Auditory Attention to Continuous Speech.

around-the-ear EEG auditory attention auditory attention decoding (AAD) cEEGrid intersubject correlation (ISC) spectral entropy speech envelope tracking

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2022
Historique:
received: 04 02 2022
accepted: 25 03 2022
entrez: 20 5 2022
pubmed: 21 5 2022
medline: 21 5 2022
Statut: epublish

Résumé

Auditory attention is an important cognitive function used to separate relevant from irrelevant auditory information. However, most findings on attentional selection have been obtained in highly controlled laboratory settings using bulky recording setups and unnaturalistic stimuli. Recent advances in electroencephalography (EEG) facilitate the measurement of brain activity outside the laboratory, and around-the-ear sensors such as the cEEGrid promise unobtrusive acquisition. In parallel, methods such as speech envelope tracking, intersubject correlations and spectral entropy measures emerged which allow us to study attentional effects in the neural processing of natural, continuous auditory scenes. In the current study, we investigated whether these three attentional measures can be reliably obtained when using around-the-ear EEG. To this end, we analyzed the cEEGrid data of 36 participants who attended to one of two simultaneously presented speech streams. Speech envelope tracking results confirmed a reliable identification of the attended speaker from cEEGrid data. The accuracies in identifying the attended speaker increased when fitting the classification model to the individual. Artifact correction of the cEEGrid data with artifact subspace reconstruction did not increase the classification accuracy. Intersubject correlations were higher for those participants attending to the same speech stream than for those attending to different speech streams, replicating previously obtained results with high-density cap-EEG. We also found that spectral entropy decreased over time, possibly reflecting the decrease in the listener's level of attention. Overall, these results support the idea of using ear-EEG measurements to unobtrusively monitor auditory attention to continuous speech. This knowledge may help to develop assistive devices that support listeners separating relevant from irrelevant information in complex auditory environments.

Identifiants

pubmed: 35592265
doi: 10.3389/fnins.2022.869426
pmc: PMC9111016
doi:

Types de publication

Journal Article

Langues

eng

Pagination

869426

Informations de copyright

Copyright © 2022 Holtze, Rosenkranz, Jaeger, Debener and Mirkovic.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Cell Rep. 2021 Sep 14;36(11):109692
pubmed: 34525363
Front Hum Neurosci. 2016 Nov 30;10:604
pubmed: 27965557
Front Hum Neurosci. 2012 May 16;6:112
pubmed: 22623915
Front Hum Neurosci. 2017 Apr 07;11:163
pubmed: 28439233
Eur J Neurosci. 2012 May;35(9):1497-503
pubmed: 22462504
J Neural Eng. 2022 Jan 06;18(6):
pubmed: 34902846
Hear Res. 2019 Jun;377:260-270
pubmed: 31003037
Neuroimage. 2014 Feb 15;87:96-110
pubmed: 24239590
Lang Cogn Neurosci. 2018 Jul 22;35(5):573-582
pubmed: 32656294
IEEE Pulse. 2012 Nov-Dec;3(6):32-42
pubmed: 23247157
Science. 2004 Mar 12;303(5664):1634-40
pubmed: 15016991
Neuron. 2013 Mar 6;77(5):980-91
pubmed: 23473326
Cereb Cortex. 2015 Jul;25(7):1697-706
pubmed: 24429136
Front Digit Health. 2021 Jun 30;3:688122
pubmed: 34713159
Front Neurosci. 2016 Jul 27;10:349
pubmed: 27512364
Front Syst Neurosci. 2017 Sep 26;11:61
pubmed: 29018336
Sci Rep. 2020 Apr 24;10(1):6922
pubmed: 32332791
J Neural Eng. 2015 Aug;12(4):046007
pubmed: 26035345
Acta Anaesthesiol Scand. 2004 Feb;48(2):154-61
pubmed: 14995936
Sci Rep. 2015 Nov 17;5:16743
pubmed: 26572314
Nat Neurosci. 2012 Mar 18;15(4):511-7
pubmed: 22426255
Psychophysiology. 2012 Nov;49(11):1617-21
pubmed: 23013047
Trends Cogn Sci. 2012 Dec;16(12):606-17
pubmed: 23141428
J Neurosci. 2016 Mar 9;36(10):3092-101
pubmed: 26961961
Mind Brain Educ. 2021 Nov;15(4):354-370
pubmed: 35875415
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:1242-1245
pubmed: 30440615
Front Neurosci. 2020 Jun 16;14:603
pubmed: 32612507
Front Neurosci. 2021 Jun 14;15:685774
pubmed: 34194296
BMC Bioinformatics. 2006 Feb 23;7:91
pubmed: 16504092
Ear Hear. 2008 Apr;29(2):139-57
pubmed: 18595182
Sci Rep. 2017 Mar 07;7:43916
pubmed: 28266588
Soc Cogn Affect Neurosci. 2019 Aug 7;14(6):667-685
pubmed: 31099394
Brain Topogr. 2020 Nov;33(6):665-676
pubmed: 32833181
Neuropsychologia. 2017 Nov;106:371-382
pubmed: 29061491
Front Neurosci. 2019 Jul 18;13:720
pubmed: 31379479
Trends Amplif. 2008 Dec;12(4):283-99
pubmed: 18974202
IEEE Trans Biomed Eng. 2015 Nov;62(11):2553-67
pubmed: 26415149
Front Psychol. 2011 Jul 05;2:154
pubmed: 21779269
Electroencephalogr Clin Neurophysiol. 1974 Feb;36(2):191-9
pubmed: 4129631
Front Neurosci. 2021 Mar 22;15:643705
pubmed: 33828451
IEEE J Biomed Health Inform. 2021 Oct;25(10):3955-3966
pubmed: 33905338
Scand Audiol. 1990;19(3):175-82
pubmed: 2237257
Sleep Med. 2021 Jul;83:175-181
pubmed: 34022494
Behav Res Methods. 2021 Oct;53(5):2025-2036
pubmed: 33721208
Biol Psychol. 2014 Feb;96:57-65
pubmed: 24309160
J Neural Eng. 2020 Aug 12;17(4):046028
pubmed: 32698177
eNeuro. 2016 Nov 10;3(6):
pubmed: 27844062
Bioinformatics. 2020 May 1;36(10):3093-3098
pubmed: 31985777
Clin EEG Neurosci. 2018 Mar;49(2):122-135
pubmed: 27821482
Front Neurosci. 2018 Aug 07;12:531
pubmed: 30131670
J Neurosci Methods. 2004 Mar 15;134(1):9-21
pubmed: 15102499
Sci Rep. 2019 Nov 14;9(1):16771
pubmed: 31728002
J Neural Eng. 2016 Dec;13(6):066004
pubmed: 27705963

Auteurs

Björn Holtze (B)

Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany.

Marc Rosenkranz (M)

Neurophysiology of Everyday Life Group, Department of Psychology, University of Oldenburg, Oldenburg, Germany.

Manuela Jaeger (M)

Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany.
Division Hearing, Speech and Audio Technology, Fraunhofer Institute for Digital Media Technology IDMT, Oldenburg, Germany.

Stefan Debener (S)

Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany.
Research Center for Neurosensory Science, University of Oldenburg, Oldenburg, Germany.
Cluster of Excellence Hearing4all, University of Oldenburg, Oldenburg, Germany.

Bojana Mirkovic (B)

Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany.

Classifications MeSH