Literature DB >> 19799877

Asymmetrical representation of auditory space in human cortex.

Nelli H Salminen1, Hannu Tiitinen, Ismo Miettinen, Paavo Alku, Patrick J C May.   

Abstract

Recent single-neuron recordings in monkeys and magnetoencephalography (MEG) data on humans suggest that auditory space is represented in cortex as a population rate code whereby spatial receptive fields are wide and centered at locations to the far left or right of the subject. To explore the details of this code in the human brain, we conducted an MEG study utilizing realistic spatial sound stimuli presented in a stimulus-specific adaptation paradigm. In this paradigm, the spatial selectivity of cortical neurons is measured as the effect the location of a preceding adaptor has on the response to a subsequent probe sound. Two types of stimuli were used: a wideband noise sound and a speech sound. The cortical hemispheres differed in the effects the adaptors had on the response to a probe sound presented in front of the subject. The right-hemispheric responses were attenuated more by an adaptor to the left than by an adaptor to the right of the subject. In contrast, the left-hemispheric responses were similarly affected by adaptors in these two locations. When interpreted in terms of single-neuron spatial receptive fields, these results support a population rate code model where neurons in the right hemisphere are more often tuned to the left than to the right of the perceiver while in the left hemisphere these two neuronal populations are of equal size.

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Year:  2009        PMID: 19799877     DOI: 10.1016/j.brainres.2009.09.095

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  18 in total

Review 1.  Psychophysics and neuronal bases of sound localization in humans.

Authors:  Jyrki Ahveninen; Norbert Kopčo; Iiro P Jääskeläinen
Journal:  Hear Res       Date:  2013-07-22       Impact factor: 3.208

2.  Evoked and intrinsic asymmetries during auditory attention: implications for the contralateral and neglect models of functioning.

Authors:  Terri M Teshiba; Josef Ling; David A Ruhl; Bronwyn S Bedrick; Amanda Peña; Andrew R Mayer
Journal:  Cereb Cortex       Date:  2012-02-27       Impact factor: 5.357

3.  Reduced temporal processing in older, normal-hearing listeners evident from electrophysiological responses to shifts in interaural time difference.

Authors:  Erol J Ozmeral; David A Eddins; Ann C Eddins
Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

4.  Tuning to Binaural Cues in Human Auditory Cortex.

Authors:  Susan A McLaughlin; Nathan C Higgins; G Christopher Stecker
Journal:  J Assoc Res Otolaryngol       Date:  2016-02

5.  The Encoding of Sound Source Elevation in the Human Auditory Cortex.

Authors:  Régis Trapeau; Marc Schönwiesner
Journal:  J Neurosci       Date:  2018-03-05       Impact factor: 6.167

6.  Evidence for opponent-channel coding of interaural time differences in human auditory cortex.

Authors:  David A Magezi; Katrin Krumbholz
Journal:  J Neurophysiol       Date:  2010-08-11       Impact factor: 2.714

7.  Cortical Representation of Interaural Time Difference Is Impaired by Deafness in Development: Evidence from Children with Early Long-term Access to Sound through Bilateral Cochlear Implants Provided Simultaneously.

Authors:  Vijayalakshmi Easwar; Hiroshi Yamazaki; Michael Deighton; Blake Papsin; Karen Gordon
Journal:  J Neurosci       Date:  2017-01-25       Impact factor: 6.167

8.  Evidence for opponent process analysis of sound source location in humans.

Authors:  Paul M Briley; Pádraig T Kitterick; A Quentin Summerfield
Journal:  J Assoc Res Otolaryngol       Date:  2012-10-23

9.  Spinal and Cerebral Integration of Noxious Inputs in Left-handed Individuals.

Authors:  Stéphane Northon; Zoha Deldar; Mathieu Piché
Journal:  Brain Topogr       Date:  2021-08-02       Impact factor: 3.020

10.  Lateralized parietotemporal oscillatory phase synchronization during auditory selective attention.

Authors:  Samantha Huang; Wei-Tang Chang; John W Belliveau; Matti Hämäläinen; Jyrki Ahveninen
Journal:  Neuroimage       Date:  2013-10-31       Impact factor: 6.556

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