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EEG sensorimotor correlates of translating sounds into actions
Understanding the actions of others is a necessary foundational cornerstone for effective and affective social interactions. Such understanding may result from a mapping of observed actions as well as heard sounds onto one's own motor representations of those events. To examine the electrophysi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3858667/ https://www.ncbi.nlm.nih.gov/pubmed/24376395 http://dx.doi.org/10.3389/fnins.2013.00203 |
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author | Pineda, Jaime A. Grichanik, Mark Williams, Vanessa Trieu, Michelle Chang, Hailey Keysers, Christian |
author_facet | Pineda, Jaime A. Grichanik, Mark Williams, Vanessa Trieu, Michelle Chang, Hailey Keysers, Christian |
author_sort | Pineda, Jaime A. |
collection | PubMed |
description | Understanding the actions of others is a necessary foundational cornerstone for effective and affective social interactions. Such understanding may result from a mapping of observed actions as well as heard sounds onto one's own motor representations of those events. To examine the electrophysiological basis of action-related sounds, EEG data were collected in two studies from adults who were exposed to auditory events in one of three categories: action (either hand- or mouth-based sounds), non-action (environmental sounds), and control sounds (scrambled versions of action sounds). In both studies, triplets of sounds of the same category were typically presented, although occasionally, to ensure an attentive state, trials containing a sound from a different category were presented within the triplet and participants were asked to respond to this oddball event either covertly in one study or overtly in another. Additionally, participants in both studies were asked to mimic hand- and mouth-based motor actions associated with the sounds (motor task). Action sounds elicited larger EEG mu rhythm (8–13 Hz) suppression, relative to control sounds, primarily over left hemisphere, while non-action sounds showed larger mu suppression primarily over right hemisphere. Furthermore, hand-based sounds elicited greater mu suppression over the hand area in sensorimotor cortex compared to mouth-based sounds. These patterns of mu suppression across cortical regions to different categories of sounds and to effector-specific sounds suggest differential engagement of a mirroring system in the human brain when processing sounds. |
format | Online Article Text |
id | pubmed-3858667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38586672013-12-27 EEG sensorimotor correlates of translating sounds into actions Pineda, Jaime A. Grichanik, Mark Williams, Vanessa Trieu, Michelle Chang, Hailey Keysers, Christian Front Neurosci Neuroscience Understanding the actions of others is a necessary foundational cornerstone for effective and affective social interactions. Such understanding may result from a mapping of observed actions as well as heard sounds onto one's own motor representations of those events. To examine the electrophysiological basis of action-related sounds, EEG data were collected in two studies from adults who were exposed to auditory events in one of three categories: action (either hand- or mouth-based sounds), non-action (environmental sounds), and control sounds (scrambled versions of action sounds). In both studies, triplets of sounds of the same category were typically presented, although occasionally, to ensure an attentive state, trials containing a sound from a different category were presented within the triplet and participants were asked to respond to this oddball event either covertly in one study or overtly in another. Additionally, participants in both studies were asked to mimic hand- and mouth-based motor actions associated with the sounds (motor task). Action sounds elicited larger EEG mu rhythm (8–13 Hz) suppression, relative to control sounds, primarily over left hemisphere, while non-action sounds showed larger mu suppression primarily over right hemisphere. Furthermore, hand-based sounds elicited greater mu suppression over the hand area in sensorimotor cortex compared to mouth-based sounds. These patterns of mu suppression across cortical regions to different categories of sounds and to effector-specific sounds suggest differential engagement of a mirroring system in the human brain when processing sounds. Frontiers Media S.A. 2013-12-11 /pmc/articles/PMC3858667/ /pubmed/24376395 http://dx.doi.org/10.3389/fnins.2013.00203 Text en Copyright © 2013 Pineda, Grichanik, Williams, Trieu, Chang and Keysers. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Pineda, Jaime A. Grichanik, Mark Williams, Vanessa Trieu, Michelle Chang, Hailey Keysers, Christian EEG sensorimotor correlates of translating sounds into actions |
title | EEG sensorimotor correlates of translating sounds into actions |
title_full | EEG sensorimotor correlates of translating sounds into actions |
title_fullStr | EEG sensorimotor correlates of translating sounds into actions |
title_full_unstemmed | EEG sensorimotor correlates of translating sounds into actions |
title_short | EEG sensorimotor correlates of translating sounds into actions |
title_sort | eeg sensorimotor correlates of translating sounds into actions |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3858667/ https://www.ncbi.nlm.nih.gov/pubmed/24376395 http://dx.doi.org/10.3389/fnins.2013.00203 |
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