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Changes in Oscillatory Brain Networks after Lexical Tone Training

Learning foreign speech contrasts involves creating new representations of sound categories in memory. This formation of new memory representations is likely to involve changes in neural networks as reflected by oscillatory brain activity. To explore this, we conducted time-frequency analyses of ele...

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Detalles Bibliográficos
Autores principales: Kaan, Edith, Wayland, Ratree, Keil, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061855/
https://www.ncbi.nlm.nih.gov/pubmed/24961423
http://dx.doi.org/10.3390/brainsci3020757
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author Kaan, Edith
Wayland, Ratree
Keil, Andreas
author_facet Kaan, Edith
Wayland, Ratree
Keil, Andreas
author_sort Kaan, Edith
collection PubMed
description Learning foreign speech contrasts involves creating new representations of sound categories in memory. This formation of new memory representations is likely to involve changes in neural networks as reflected by oscillatory brain activity. To explore this, we conducted time-frequency analyses of electro-encephalography (EEG) data recorded in a passive auditory oddball paradigm using Thai language tones. We compared native speakers of English (a non-tone language) and native speakers of Mandarin Chinese (a tone language), before and after a two-day laboratory training. Native English speakers showed a larger gamma-band power and stronger alpha-band synchrony across EEG channels than the native Chinese speakers, especially after training. This is compatible with the view that forming new speech categories on the basis of unfamiliar perceptual dimensions involves stronger gamma activity and more coherent activity in alpha-band networks than forming new categories on the basis of familiar dimensions.
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spelling pubmed-40618552014-06-19 Changes in Oscillatory Brain Networks after Lexical Tone Training Kaan, Edith Wayland, Ratree Keil, Andreas Brain Sci Article Learning foreign speech contrasts involves creating new representations of sound categories in memory. This formation of new memory representations is likely to involve changes in neural networks as reflected by oscillatory brain activity. To explore this, we conducted time-frequency analyses of electro-encephalography (EEG) data recorded in a passive auditory oddball paradigm using Thai language tones. We compared native speakers of English (a non-tone language) and native speakers of Mandarin Chinese (a tone language), before and after a two-day laboratory training. Native English speakers showed a larger gamma-band power and stronger alpha-band synchrony across EEG channels than the native Chinese speakers, especially after training. This is compatible with the view that forming new speech categories on the basis of unfamiliar perceptual dimensions involves stronger gamma activity and more coherent activity in alpha-band networks than forming new categories on the basis of familiar dimensions. MDPI 2013-05-03 /pmc/articles/PMC4061855/ /pubmed/24961423 http://dx.doi.org/10.3390/brainsci3020757 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Kaan, Edith
Wayland, Ratree
Keil, Andreas
Changes in Oscillatory Brain Networks after Lexical Tone Training
title Changes in Oscillatory Brain Networks after Lexical Tone Training
title_full Changes in Oscillatory Brain Networks after Lexical Tone Training
title_fullStr Changes in Oscillatory Brain Networks after Lexical Tone Training
title_full_unstemmed Changes in Oscillatory Brain Networks after Lexical Tone Training
title_short Changes in Oscillatory Brain Networks after Lexical Tone Training
title_sort changes in oscillatory brain networks after lexical tone training
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061855/
https://www.ncbi.nlm.nih.gov/pubmed/24961423
http://dx.doi.org/10.3390/brainsci3020757
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