Title |
Resting-state qEEG predicts rate of second language learning in adults
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Published in |
Brain & Language, May 2016
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DOI | 10.1016/j.bandl.2016.04.007 |
Pubmed ID | |
Authors |
Chantel S. Prat, Brianna L. Yamasaki, Reina A. Kluender, Andrea Stocco |
Abstract |
Understanding the neurobiological basis of individual differences in second language acquisition (SLA) is important for research on bilingualism, learning, and neural plasticity. The current study used quantitative electroencephalography (qEEG) to predict SLA in college-aged individuals. Baseline, eyes-closed resting-state qEEG was used to predict language learning rate during eight weeks of French exposure using an immersive, virtual scenario software. Individual qEEG indices predicted up to 60% of the variability in SLA, whereas behavioral indices of fluid intelligence, executive functioning, and working-memory capacity were not correlated with learning rate. Specifically, power in beta and low-gamma frequency ranges over right temporoparietal regions were strongly positively correlated with SLA. These results highlight the utility of resting-state EEG for studying the neurobiological basis of SLA in a relatively construct-free, paradigm-independent manner. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 16% |
United Kingdom | 3 | 16% |
Saudi Arabia | 2 | 11% |
Spain | 1 | 5% |
Mexico | 1 | 5% |
Unknown | 9 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 74% |
Scientists | 3 | 16% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 1% |
France | 1 | <1% |
Italy | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Canada | 1 | <1% |
Spain | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 210 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 16% |
Student > Master | 33 | 15% |
Researcher | 28 | 13% |
Student > Bachelor | 20 | 9% |
Student > Doctoral Student | 15 | 7% |
Other | 48 | 22% |
Unknown | 39 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 64 | 29% |
Linguistics | 34 | 16% |
Neuroscience | 22 | 10% |
Social Sciences | 9 | 4% |
Medicine and Dentistry | 8 | 4% |
Other | 30 | 14% |
Unknown | 52 | 24% |