Literature DB >> 28821680

Cortical Representations of Speech in a Multitalker Auditory Scene.

Krishna C Puvvada1, Jonathan Z Simon2,3,4.   

Abstract

The ability to parse a complex auditory scene into perceptual objects is facilitated by a hierarchical auditory system. Successive stages in the hierarchy transform an auditory scene of multiple overlapping sources, from peripheral tonotopically based representations in the auditory nerve, into perceptually distinct auditory-object-based representations in the auditory cortex. Here, using magnetoencephalography recordings from men and women, we investigate how a complex acoustic scene consisting of multiple speech sources is represented in distinct hierarchical stages of the auditory cortex. Using systems-theoretic methods of stimulus reconstruction, we show that the primary-like areas in the auditory cortex contain dominantly spectrotemporal-based representations of the entire auditory scene. Here, both attended and ignored speech streams are represented with almost equal fidelity, and a global representation of the full auditory scene with all its streams is a better candidate neural representation than that of individual streams being represented separately. We also show that higher-order auditory cortical areas, by contrast, represent the attended stream separately and with significantly higher fidelity than unattended streams. Furthermore, the unattended background streams are more faithfully represented as a single unsegregated background object rather than as separated objects. Together, these findings demonstrate the progression of the representations and processing of a complex acoustic scene up through the hierarchy of the human auditory cortex.SIGNIFICANCE STATEMENT Using magnetoencephalography recordings from human listeners in a simulated cocktail party environment, we investigate how a complex acoustic scene consisting of multiple speech sources is represented in separate hierarchical stages of the auditory cortex. We show that the primary-like areas in the auditory cortex use a dominantly spectrotemporal-based representation of the entire auditory scene, with both attended and unattended speech streams represented with almost equal fidelity. We also show that higher-order auditory cortical areas, by contrast, represent an attended speech stream separately from, and with significantly higher fidelity than, unattended speech streams. Furthermore, the unattended background streams are represented as a single undivided background object rather than as distinct background objects.
Copyright © 2017 the authors 0270-6474/17/379189-08$15.00/0.

Entities:  

Keywords:  attention; auditory cortex; cocktail party problem; magnetoencephalography; stimulus reconstruction; temporal response function

Mesh:

Year:  2017        PMID: 28821680      PMCID: PMC5607465          DOI: 10.1523/JNEUROSCI.0938-17.2017

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  49 in total

1.  Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex.

Authors:  Jonathan Fritz; Shihab Shamma; Mounya Elhilali; David Klein
Journal:  Nat Neurosci       Date:  2003-10-28       Impact factor: 24.884

2.  Sound processing hierarchy within human auditory cortex.

Authors:  Hidehiko Okamoto; Henning Stracke; Patrick Bermudez; Christo Pantev
Journal:  J Cogn Neurosci       Date:  2010-06-03       Impact factor: 3.225

3.  Low-Frequency Cortical Entrainment to Speech Reflects Phoneme-Level Processing.

Authors:  Giovanni M Di Liberto; James A O'Sullivan; Edmund C Lalor
Journal:  Curr Biol       Date:  2015-09-24       Impact factor: 10.834

4.  Hierarchical organization of human auditory cortex: evidence from acoustic invariance in the response to intelligible speech.

Authors:  Kayoko Okada; Feng Rong; Jon Venezia; William Matchin; I-Hui Hsieh; Kourosh Saberi; John T Serences; Gregory Hickok
Journal:  Cereb Cortex       Date:  2010-01-25       Impact factor: 5.357

5.  Influence of context and behavior on stimulus reconstruction from neural activity in primary auditory cortex.

Authors:  Nima Mesgarani; Stephen V David; Jonathan B Fritz; Shihab A Shamma
Journal:  J Neurophysiol       Date:  2009-09-16       Impact factor: 2.714

Review 6.  Joint decorrelation, a versatile tool for multichannel data analysis.

Authors:  Alain de Cheveigné; Lucas C Parra
Journal:  Neuroimage       Date:  2014-06-02       Impact factor: 6.556

7.  Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG.

Authors:  James A O'Sullivan; Alan J Power; Nima Mesgarani; Siddharth Rajaram; John J Foxe; Barbara G Shinn-Cunningham; Malcolm Slaney; Shihab A Shamma; Edmund C Lalor
Journal:  Cereb Cortex       Date:  2014-01-15       Impact factor: 5.357

8.  Reconstructing speech from human auditory cortex.

Authors:  Brian N Pasley; Stephen V David; Nima Mesgarani; Adeen Flinker; Shihab A Shamma; Nathan E Crone; Robert T Knight; Edward F Chang
Journal:  PLoS Biol       Date:  2012-01-31       Impact factor: 8.029

9.  Differential activation of human core, non-core and auditory-related cortex during speech categorization tasks as revealed by intracranial recordings.

Authors:  Mitchell Steinschneider; Kirill V Nourski; Ariane E Rhone; Hiroto Kawasaki; Hiroyuki Oya; Matthew A Howard
Journal:  Front Neurosci       Date:  2014-08-11       Impact factor: 4.677

10.  Neurons and objects: the case of auditory cortex.

Authors:  Israel Nelken; Omer Bar-Yosef
Journal:  Front Neurosci       Date:  2008-07-07       Impact factor: 4.677

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  28 in total

1.  Rapid Transformation from Auditory to Linguistic Representations of Continuous Speech.

Authors:  Christian Brodbeck; L Elliot Hong; Jonathan Z Simon
Journal:  Curr Biol       Date:  2018-11-29       Impact factor: 10.834

2.  Cortical Tracking of Speech-in-Noise Develops from Childhood to Adulthood.

Authors:  Marc Vander Ghinst; Mathieu Bourguignon; Maxime Niesen; Vincent Wens; Sergio Hassid; Georges Choufani; Veikko Jousmäki; Riitta Hari; Serge Goldman; Xavier De Tiège
Journal:  J Neurosci       Date:  2019-02-11       Impact factor: 6.167

3.  Musicians at the Cocktail Party: Neural Substrates of Musical Training During Selective Listening in Multispeaker Situations.

Authors:  Sebastian Puschmann; Sylvain Baillet; Robert J Zatorre
Journal:  Cereb Cortex       Date:  2019-07-22       Impact factor: 5.357

4.  Pitch, Timbre and Intensity Interdependently Modulate Neural Responses to Salient Sounds.

Authors:  Emine Merve Kaya; Nicolas Huang; Mounya Elhilali
Journal:  Neuroscience       Date:  2020-05-21       Impact factor: 3.590

5.  Hierarchical Encoding of Attended Auditory Objects in Multi-talker Speech Perception.

Authors:  James O'Sullivan; Jose Herrero; Elliot Smith; Catherine Schevon; Guy M McKhann; Sameer A Sheth; Ashesh D Mehta; Nima Mesgarani
Journal:  Neuron       Date:  2019-10-21       Impact factor: 17.173

6.  Cognitive resources are distributed among the entire auditory landscape in auditory scene analysis.

Authors:  Renee M Symonds; Juin W Zhou; Sally L Cole; Kelin M Brace; Elyse S Sussman
Journal:  Psychophysiology       Date:  2019-10-02       Impact factor: 4.016

7.  Decoding Object-Based Auditory Attention from Source-Reconstructed MEG Alpha Oscillations.

Authors:  Ingmar E J de Vries; Giorgio Marinato; Daniel Baldauf
Journal:  J Neurosci       Date:  2021-08-24       Impact factor: 6.167

8.  Neural dynamics differentially encode phrases and sentences during spoken language comprehension.

Authors:  Fan Bai; Antje S Meyer; Andrea E Martin
Journal:  PLoS Biol       Date:  2022-07-14       Impact factor: 9.593

9.  Paying attention to speech: The role of working memory capacity and professional experience.

Authors:  Bar Lambez; Galit Agmon; Paz Har-Shai Yahav; Yuri Rassovsky; Elana Zion Golumbic
Journal:  Atten Percept Psychophys       Date:  2020-10       Impact factor: 2.199

10.  Neural Signatures of the Processing of Temporal Patterns in Sound.

Authors:  Björn Herrmann; Ingrid S Johnsrude
Journal:  J Neurosci       Date:  2018-05-17       Impact factor: 6.167

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