Literature DB >> 24841996

The encoding of auditory objects in auditory cortex: insights from magnetoencephalography.

Jonathan Z Simon1.   

Abstract

Auditory objects, like their visual counterparts, are perceptually defined constructs, but nevertheless must arise from underlying neural circuitry. Using magnetoencephalography (MEG) recordings of the neural responses of human subjects listening to complex auditory scenes, we review studies that demonstrate that auditory objects are indeed neurally represented in auditory cortex. The studies use neural responses obtained from different experiments in which subjects selectively listen to one of two competing auditory streams embedded in a variety of auditory scenes. The auditory streams overlap spatially and often spectrally. In particular, the studies demonstrate that selective attentional gain does not act globally on the entire auditory scene, but rather acts differentially on the separate auditory streams. This stream-based attentional gain is then used as a tool to individually analyze the different neural representations of the competing auditory streams. The neural representation of the attended stream, located in posterior auditory cortex, dominates the neural responses. Critically, when the intensities of the attended and background streams are separately varied over a wide intensity range, the neural representation of the attended speech adapts only to the intensity of that speaker, irrespective of the intensity of the background speaker. This demonstrates object-level intensity gain control in addition to the above object-level selective attentional gain. Overall, these results indicate that concurrently streaming auditory objects, even if spectrally overlapping and not resolvable at the auditory periphery, are individually neurally encoded in auditory cortex, as separate objects.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Auditory object; Cortical representation; MEG; Neural representation; Speech

Mesh:

Year:  2014        PMID: 24841996      PMCID: PMC4233196          DOI: 10.1016/j.ijpsycho.2014.05.005

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  28 in total

1.  Auditory M50 and M100 responses to broadband noise: functional implications.

Authors:  Maria Chait; Jonathan Z Simon; David Poeppel
Journal:  Neuroreport       Date:  2004-11-15       Impact factor: 1.837

2.  Fully complex magnetoencephalography.

Authors:  Jonathan Z Simon; Yadong Wang
Journal:  J Neurosci Methods       Date:  2005-07-18       Impact factor: 2.390

3.  Sensor noise suppression.

Authors:  Alain de Cheveigné; Jonathan Z Simon
Journal:  J Neurosci Methods       Date:  2007-09-19       Impact factor: 2.390

4.  Object-based auditory and visual attention.

Authors:  Barbara G Shinn-Cunningham
Journal:  Trends Cogn Sci       Date:  2008-04-07       Impact factor: 20.229

5.  High-precision neuromagnetic study of the functional organization of the human auditory cortex.

Authors:  B Lütkenhöner; O Steinsträter
Journal:  Audiol Neurootol       Date:  1998 Mar-Jun       Impact factor: 1.854

6.  Object representation in the human auditory system.

Authors:  István Winkler; Titia L van Zuijen; Elyse Sussman; János Horváth; Risto Näätänen
Journal:  Eur J Neurosci       Date:  2006-07-12       Impact factor: 3.386

7.  Competing streams at the cocktail party: exploring the mechanisms of attention and temporal integration.

Authors:  Juanjuan Xiang; Jonathan Simon; Mounya Elhilali
Journal:  J Neurosci       Date:  2010-09-08       Impact factor: 6.167

8.  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
Journal:  Neuron       Date:  2013-03-06       Impact factor: 17.173

9.  Attention, awareness, and the perception of auditory scenes.

Authors:  Joel S Snyder; Melissa K Gregg; David M Weintraub; Claude Alain
Journal:  Front Psychol       Date:  2012-02-07

10.  Interaction between attention and bottom-up saliency mediates the representation of foreground and background in an auditory scene.

Authors:  Mounya Elhilali; Juanjuan Xiang; Shihab A Shamma; Jonathan Z Simon
Journal:  PLoS Biol       Date:  2009-06-16       Impact factor: 8.029

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  13 in total

1.  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

2.  Neural tracking of attended versus ignored speech is differentially affected by hearing loss.

Authors:  Eline Borch Petersen; Malte Wöstmann; Jonas Obleser; Thomas Lunner
Journal:  J Neurophysiol       Date:  2016-10-05       Impact factor: 2.714

3.  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

Review 4.  The Role of High-Level Processes for Oscillatory Phase Entrainment to Speech Sound.

Authors:  Benedikt Zoefel; Rufin VanRullen
Journal:  Front Hum Neurosci       Date:  2015-12-02       Impact factor: 3.169

Review 5.  Computational Models of Auditory Scene Analysis: A Review.

Authors:  Beáta T Szabó; Susan L Denham; István Winkler
Journal:  Front Neurosci       Date:  2016-11-15       Impact factor: 4.677

6.  Magnified Neural Envelope Coding Predicts Deficits in Speech Perception in Noise.

Authors:  Rebecca E Millman; Sven L Mattys; André D Gouws; Garreth Prendergast
Journal:  J Neurosci       Date:  2017-07-10       Impact factor: 6.167

7.  Intracranial Electrophysiology of Auditory Selective Attention Associated with Speech Classification Tasks.

Authors:  Kirill V Nourski; Mitchell Steinschneider; Ariane E Rhone; Matthew A Howard Iii
Journal:  Front Hum Neurosci       Date:  2017-01-10       Impact factor: 3.169

8.  Listening Into 2030 Workshop: An Experiment in Envisioning the Future of Hearing and Communication Science.

Authors:  Simon Carlile; Gregory Ciccarelli; Jane Cockburn; Anna C Diedesch; Megan K Finnegan; Ervin Hafter; Simon Henin; Sridhar Kalluri; Alexander J E Kell; Erol J Ozmeral; Casey L Roark; Jessica E Sagers
Journal:  Trends Hear       Date:  2017 Jan-Dec       Impact factor: 3.293

9.  Object-based attention in complex, naturalistic auditory streams.

Authors:  Giorgio Marinato; Daniel Baldauf
Journal:  Sci Rep       Date:  2019-02-27       Impact factor: 4.379

10.  Left Superior Temporal Gyrus Is Coupled to Attended Speech in a Cocktail-Party Auditory Scene.

Authors:  Marc Vander Ghinst; Mathieu Bourguignon; Marc Op de Beeck; Vincent Wens; Brice Marty; Sergio Hassid; Georges Choufani; Veikko Jousmäki; Riitta Hari; Patrick Van Bogaert; Serge Goldman; Xavier De Tiège
Journal:  J Neurosci       Date:  2016-02-03       Impact factor: 6.167

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