Literature DB >> 28384124

Single-channel in-ear-EEG detects the focus of auditory attention to concurrent tone streams and mixed speech.

Lorenz Fiedler1, Malte Wöstmann, Carina Graversen, Alex Brandmeyer, Thomas Lunner, Jonas Obleser.   

Abstract

OBJECTIVE: Conventional, multi-channel scalp electroencephalography (EEG) allows the identification of the attended speaker in concurrent-listening ('cocktail party') scenarios. This implies that EEG might provide valuable information to complement hearing aids with some form of EEG and to install a level of neuro-feedback. APPROACH: To investigate whether a listener's attentional focus can be detected from single-channel hearing-aid-compatible EEG configurations, we recorded EEG from three electrodes inside the ear canal ('in-Ear-EEG') and additionally from 64 electrodes on the scalp. In two different, concurrent listening tasks, participants (n  =  7) were fitted with individualized in-Ear-EEG pieces and were either asked to attend to one of two dichotically-presented, concurrent tone streams or to one of two diotically-presented, concurrent audiobooks. A forward encoding model was trained to predict the EEG response at single EEG channels. MAIN
RESULTS: Each individual participants' attentional focus could be detected from single-channel EEG response recorded from short-distance configurations consisting only of a single in-Ear-EEG electrode and an adjacent scalp-EEG electrode. The differences in neural responses to attended and ignored stimuli were consistent in morphology (i.e. polarity and latency of components) across subjects. SIGNIFICANCE: In sum, our findings show that the EEG response from a single-channel, hearing-aid-compatible configuration provides valuable information to identify a listener's focus of attention.

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Year:  2017        PMID: 28384124     DOI: 10.1088/1741-2552/aa66dd

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  24 in total

1.  Neural decoding of attentional selection in multi-speaker environments without access to clean sources.

Authors:  James O'Sullivan; Zhuo Chen; Jose Herrero; Guy M McKhann; Sameer A Sheth; Ashesh D Mehta; Nima Mesgarani
Journal:  J Neural Eng       Date:  2017-08-04       Impact factor: 5.379

Review 2.  Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.

Authors:  Blake S Wilson; Debara L Tucci; David A Moses; Edward F Chang; Nancy M Young; Fan-Gang Zeng; Nicholas A Lesica; Andrés M Bur; Hannah Kavookjian; Caroline Mussatto; Joseph Penn; Sara Goodwin; Shannon Kraft; Guanghui Wang; Jonathan M Cohen; Geoffrey S Ginsburg; Geraldine Dawson; Howard W Francis
Journal:  J Assoc Res Otolaryngol       Date:  2022-04-20

3.  Physiological artifacts in scalp EEG and ear-EEG.

Authors:  Simon L Kappel; David Looney; Danilo P Mandic; Preben Kidmose
Journal:  Biomed Eng Online       Date:  2017-08-11       Impact factor: 2.819

4.  Decoding the Attended Speaker From EEG Using Adaptive Evaluation Intervals Captures Fluctuations in Attentional Listening.

Authors:  Manuela Jaeger; Bojana Mirkovic; Martin G Bleichner; Stefan Debener
Journal:  Front Neurosci       Date:  2020-06-16       Impact factor: 4.677

5.  On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface.

Authors:  Soo-In Choi; Chang-Hee Han; Ga-Young Choi; Jaeyoung Shin; Kwang Soup Song; Chang-Hwan Im; Han-Jeong Hwang
Journal:  Sensors (Basel)       Date:  2018-08-29       Impact factor: 3.576

6.  Cortical encoding of melodic expectations in human temporal cortex.

Authors:  Claire Pelofi; Roberta Bianco; Giovanni M Di Liberto; Prachi Patel; Ashesh D Mehta; Jose L Herrero; Alain de Cheveigné; Shihab Shamma; Nima Mesgarani
Journal:  Elife       Date:  2020-03-03       Impact factor: 8.140

7.  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

8.  Unilateral Acoustic Degradation Delays Attentional Separation of Competing Speech.

Authors:  Frauke Kraus; Sarah Tune; Anna Ruhe; Jonas Obleser; Malte Wöstmann
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

9.  Sensorineural hearing loss degrades behavioral and physiological measures of human spatial selective auditory attention.

Authors:  Lengshi Dai; Virginia Best; Barbara G Shinn-Cunningham
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-19       Impact factor: 11.205

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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