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Changes in oscillatory brain networks after lexical tone training.

Kaan E, Wayland R, Keil A - Brain Sci (2013)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Linguistics, University of Florida, P.O. Box 115454, Gainesville, FL 32611, USA. kaan@ufl.edu.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Mean spectral power in the alpha band (100–500 ms from stimulus onset) for the three language groups, before (pre, upper row) and after training (post, bottom row), collapsed over tone and condition. The large values at the extreme frontal sites are an artifact of the interpolation.
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brainsci-03-00757-f003: Mean spectral power in the alpha band (100–500 ms from stimulus onset) for the three language groups, before (pre, upper row) and after training (post, bottom row), collapsed over tone and condition. The large values at the extreme frontal sites are an artifact of the interpolation.

Mentions: The upper row of Figure 3 displays the results for the alpha-band power before training. Means for lateral electrodes are given in Figure 1B. Alpha-band power before training was strongest over central and left centro-parietal lateral sites. Alpha-band power was stronger for standard than deviant trials (lateral sites, F(1,28) = 68.37, p < 0.001; midline sites, F(1,28) = 32.55, p < 0.001), replicating previous studies using oddball-paradigms, e.g., [63,64]. The language groups differed significantly (lateral, F(1,28) = 64.55, p < 0.001; midline, F(1,28) = 8.37, p < 0.001). The Thai speakers showed a stronger alpha-band power than the English and Chinese groups (p < 0.05 over midline sites; p < 0.001 over lateral sites), whereas the latter groups did not differ before training overall. The groups differed as to the effect of condition and tone, leading to a three-way interaction between tone, condition and language at midline sites (F(1,28) = 4.00, p < 0.05). Follow-up comparisons showed that the difference in alpha-band power between standard and deviant trials was larger for the low-falling than high-rising tones in the English speakers (F(1,9) = 6.20, p < 0.05), but did not differ significantly for the two tones in the Thai and Chinese participants (p > 0.17), see Table 1. This result patterns with the findings from the ERP analysis [12], in which the English speakers showed a larger mismatch negativity compared with the other groups for the low-falling deviant versus standard tones before training.


Changes in oscillatory brain networks after lexical tone training.

Kaan E, Wayland R, Keil A - Brain Sci (2013)

Mean spectral power in the alpha band (100–500 ms from stimulus onset) for the three language groups, before (pre, upper row) and after training (post, bottom row), collapsed over tone and condition. The large values at the extreme frontal sites are an artifact of the interpolation.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4061855&req=5

brainsci-03-00757-f003: Mean spectral power in the alpha band (100–500 ms from stimulus onset) for the three language groups, before (pre, upper row) and after training (post, bottom row), collapsed over tone and condition. The large values at the extreme frontal sites are an artifact of the interpolation.
Mentions: The upper row of Figure 3 displays the results for the alpha-band power before training. Means for lateral electrodes are given in Figure 1B. Alpha-band power before training was strongest over central and left centro-parietal lateral sites. Alpha-band power was stronger for standard than deviant trials (lateral sites, F(1,28) = 68.37, p < 0.001; midline sites, F(1,28) = 32.55, p < 0.001), replicating previous studies using oddball-paradigms, e.g., [63,64]. The language groups differed significantly (lateral, F(1,28) = 64.55, p < 0.001; midline, F(1,28) = 8.37, p < 0.001). The Thai speakers showed a stronger alpha-band power than the English and Chinese groups (p < 0.05 over midline sites; p < 0.001 over lateral sites), whereas the latter groups did not differ before training overall. The groups differed as to the effect of condition and tone, leading to a three-way interaction between tone, condition and language at midline sites (F(1,28) = 4.00, p < 0.05). Follow-up comparisons showed that the difference in alpha-band power between standard and deviant trials was larger for the low-falling than high-rising tones in the English speakers (F(1,9) = 6.20, p < 0.05), but did not differ significantly for the two tones in the Thai and Chinese participants (p > 0.17), see Table 1. This result patterns with the findings from the ERP analysis [12], in which the English speakers showed a larger mismatch negativity compared with the other groups for the low-falling deviant versus standard tones before training.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Linguistics, University of Florida, P.O. Box 115454, Gainesville, FL 32611, USA. kaan@ufl.edu.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus