Literature DB >> 30367953

Late cortical tracking of ignored speech facilitates neural selectivity in acoustically challenging conditions.

Lorenz Fiedler1, Malte Wöstmann2, Sophie K Herbst2, Jonas Obleser3.   

Abstract

Listening requires selective neural processing of the incoming sound mixture, which in humans is borne out by a surprisingly clean representation of attended-only speech in auditory cortex. How this neural selectivity is achieved even at negative signal-to-noise ratios (SNR) remains unclear. We show that, under such conditions, a late cortical representation (i.e., neural tracking) of the ignored acoustic signal is key to successful separation of attended and distracting talkers (i.e., neural selectivity). We recorded and modeled the electroencephalographic response of 18 participants who attended to one of two simultaneously presented stories, while the SNR between the two talkers varied dynamically between +6 and -6 dB. The neural tracking showed an increasing early-to-late attention-biased selectivity. Importantly, acoustically dominant (i.e., louder) ignored talkers were tracked neurally by late involvement of fronto-parietal regions, which contributed to enhanced neural selectivity. This neural selectivity, by way of representing the ignored talker, poses a mechanistic neural account of attention under real-life acoustic conditions.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Attention; Auditory cortex; EEG; Fronto-parietal attention network; SNR; Speech encoding

Mesh:

Year:  2018        PMID: 30367953     DOI: 10.1016/j.neuroimage.2018.10.057

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  17 in total

1.  Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent.

Authors:  Bradley Voytek; Jonas Obleser; Leonhard Waschke; Thomas Donoghue; Lorenz Fiedler; Sydney Smith; Douglas D Garrett
Journal:  Elife       Date:  2021-10-21       Impact factor: 8.140

2.  Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task.

Authors:  Joshua P Kulasingham; Neha H Joshi; Mohsen Rezaeizadeh; Jonathan Z Simon
Journal:  J Neurosci       Date:  2021-08-16       Impact factor: 6.167

3.  Generalizable EEG Encoding Models with Naturalistic Audiovisual Stimuli.

Authors:  Maansi Desai; Jade Holder; Cassandra Villarreal; Nat Clark; Brittany Hoang; Liberty S Hamilton
Journal:  J Neurosci       Date:  2021-09-09       Impact factor: 6.167

4.  Spatial release from informational masking enhances the early cortical representation of speech sounds.

Authors:  Benjamin H Zobel; Richard L Freyman; Lisa D Sanders
Journal:  Audit Percept Cogn       Date:  2022-06-14

5.  Endogenous sources of interbrain synchrony in duetting pianists.

Authors:  Katarzyna Gugnowska; Giacomo Novembre; Natalie Kohler; Arno Villringer; Peter E Keller; Daniela Sammler
Journal:  Cereb Cortex       Date:  2022-09-04       Impact factor: 4.861

6.  Cognitive and neural predictors of speech comprehension in noisy backgrounds in older adults.

Authors:  Megan C Fitzhugh; Sydney Y Schaefer; Leslie C Baxter; Corianne Rogalsky
Journal:  Lang Cogn Neurosci       Date:  2020-10-04       Impact factor: 2.331

7.  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

8.  Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech.

Authors:  Christoph Daube; Robin A A Ince; Joachim Gross
Journal:  Curr Biol       Date:  2019-05-23       Impact factor: 10.834

9.  Poor early cortical differentiation of speech predicts perceptual difficulties of severely hearing-impaired listeners in multi-talker environments.

Authors:  Brandon T Paul; Mila Uzelac; Emmanuel Chan; Andrew Dimitrijevic
Journal:  Sci Rep       Date:  2020-04-09       Impact factor: 4.379

10.  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

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