Literature DB >> 24963838

Envelope responses in single-trial EEG indicate attended speaker in a 'cocktail party'.

Cort Horton1, Ramesh Srinivasan, Michael D'Zmura.   

Abstract

OBJECTIVE: Recent studies have shown that auditory cortex better encodes the envelope of attended speech than that of unattended speech during multi-speaker ('cocktail party') situations. We investigated whether these differences were sufficiently robust within single-trial electroencephalographic (EEG) data to accurately determine where subjects attended. Additionally, we compared this measure to other established EEG markers of attention. APPROACH: High-resolution EEG was recorded while subjects engaged in a two-speaker 'cocktail party' task. Cortical responses to speech envelopes were extracted by cross-correlating the envelopes with each EEG channel. We also measured steady-state responses (elicited via high-frequency amplitude modulation of the speech) and alpha-band power, both of which have been sensitive to attention in previous studies. Using linear classifiers, we then examined how well each of these features could be used to predict the subjects' side of attention at various epoch lengths. MAIN
RESULTS: We found that the attended speaker could be determined reliably from the envelope responses calculated from short periods of EEG, with accuracy improving as a function of sample length. Furthermore, envelope responses were far better indicators of attention than changes in either alpha power or steady-state responses. SIGNIFICANCE: These results suggest that envelope-related signals recorded in EEG data can be used to form robust auditory BCI's that do not require artificial manipulation (e.g., amplitude modulation) of stimuli to function.

Entities:  

Mesh:

Year:  2014        PMID: 24963838      PMCID: PMC4143116          DOI: 10.1088/1741-2560/11/4/046015

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


  33 in total

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2.  The effect of attention on the auditory steady-state response.

Authors:  B Ross; T W Picton; A T Herdman; C Pantev
Journal:  Neurol Clin Neurophysiol       Date:  2004-11-30

3.  Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex.

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Journal:  Neuron       Date:  2007-06-21       Impact factor: 17.173

4.  Right-hemisphere auditory cortex is dominant for coding syllable patterns in speech.

Authors:  Daniel A Abrams; Trent Nicol; Steven Zecker; Nina Kraus
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5.  Cortical oscillations and speech processing: emerging computational principles and operations.

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6.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

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7.  Effect of reducing slow temporal modulations on speech reception.

Authors:  R Drullman; J M Festen; R Plomp
Journal:  J Acoust Soc Am       Date:  1994-05       Impact factor: 1.840

8.  Semantic and acoustic analysis of speech by functional networks with distinct time scales.

Authors:  Siyi Deng; Ramesh Srinivasan
Journal:  Brain Res       Date:  2010-05-16       Impact factor: 3.252

9.  Mechanisms underlying selective neuronal tracking of attended speech at a "cocktail party".

Authors:  Elana M Zion Golumbic; Nai Ding; Stephan Bickel; Peter Lakatos; Catherine A Schevon; Guy M McKhann; Robert R Goodman; Ronald Emerson; Ashesh D Mehta; Jonathan Z Simon; David Poeppel; Charles E Schroeder
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10.  Suppression of competing speech through entrainment of cortical oscillations.

Authors:  Cort Horton; Michael D'Zmura; Ramesh Srinivasan
Journal:  J Neurophysiol       Date:  2013-03-20       Impact factor: 2.714

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  17 in total

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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

2.  Effects of Spectral Degradation on Attentional Modulation of Cortical Auditory Responses to Continuous Speech.

Authors:  Ying-Yee Kong; Ala Somarowthu; Nai Ding
Journal:  J Assoc Res Otolaryngol       Date:  2015-09-11

3.  Speech Intelligibility Predicted from Neural Entrainment of the Speech Envelope.

Authors:  Jonas Vanthornhout; Lien Decruy; Jan Wouters; Jonathan Z Simon; Tom Francart
Journal:  J Assoc Res Otolaryngol       Date:  2018-02-20

4.  A Graphical Model for Online Auditory Scene Modulation Using EEG Evidence for Attention.

Authors:  Marzieh Haghighi; Mohammad Moghadamfalahi; Murat Akcakaya; Barbara G Shinn-Cunningham; Deniz Erdogmus
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-06-06       Impact factor: 3.802

5.  The effects of selective attention and speech acoustics on neural speech-tracking in a multi-talker scene.

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Journal:  Cortex       Date:  2015-01-07       Impact factor: 4.027

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

Authors:  Marlies Gillis; Jonas Vanthornhout; Jonathan Z Simon; Tom Francart; Christian Brodbeck
Journal:  J Neurosci       Date:  2021-11-03       Impact factor: 6.709

7.  Reliability of Neural Entrainment in the Human Auditory System.

Authors:  Yuranny Cabral-Calderin; Molly J Henry
Journal:  J Neurosci       Date:  2021-12-10       Impact factor: 6.709

8.  Attention selectively modulates cortical entrainment in different regions of the speech spectrum.

Authors:  Lucas S Baltzell; Cort Horton; Yi Shen; Virginia M Richards; Michael D'Zmura; Ramesh Srinivasan
Journal:  Brain Res       Date:  2016-05-16       Impact factor: 3.252

9.  Identifying the Attended Speaker Using Electrocorticographic (ECoG) Signals.

Authors:  K Dijkstra; P Brunner; A Gunduz; W Coon; A L Ritaccio; J Farquhar; G Schalk
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2015-08-26

10.  Cortical Response Similarities Predict which Audiovisual Clips Individuals Viewed, but Are Unrelated to Clip Preference.

Authors:  David A Bridwell; Cullen Roth; Cota Navin Gupta; Vince D Calhoun
Journal:  PLoS One       Date:  2015-06-01       Impact factor: 3.240

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