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Second Language Word Learning through Repetition and Imitation: Functional Networks as a Function of Learning Phase and Language Distance

Overview of attention for article published in Frontiers in Human Neuroscience, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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2 news outlets
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4 X users
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2 Facebook pages
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1 YouTube creator

Citations

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21 Dimensions

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142 Mendeley
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Title
Second Language Word Learning through Repetition and Imitation: Functional Networks as a Function of Learning Phase and Language Distance
Published in
Frontiers in Human Neuroscience, September 2017
DOI 10.3389/fnhum.2017.00463
Pubmed ID
Authors

Ladan Ghazi-Saidi, Ana Ines Ansaldo

Abstract

Introduction and Aim: Repetition and imitation are among the oldest second language (L2) teaching approaches and are frequently used in the context of L2 learning and language therapy, despite some heavy criticism. Current neuroimaging techniques allow the neural mechanisms underlying repetition and imitation to be examined. This fMRI study examines the influence of verbal repetition and imitation on network configuration. Integration changes within and between the cognitive control and language networks were studied, in a pair of linguistically close languages (Spanish and French), and compared to our previous work on a distant language pair (Ghazi-Saidi et al., 2013). Methods: Twelve healthy native Spanish-speaking (L1) adults, and 12 healthy native Persian-speaking adults learned 130 new French (L2) words, through a computerized audiovisual repetition and imitation program. The program presented colored photos of objects. Participants were instructed to look at each photo and pronounce its name as closely as possible to the native template (imitate). Repetition was encouraged as many times as necessary to learn the object's name; phonological cues were provided if necessary. Participants practiced for 15 min, over 30 days, and were tested while naming the same items during fMRI scanning, at week 1 (shallow learning phase) and week 4 (consolidation phase) of training. To compare this set of data with our previous work on Persian speakers, a similar data analysis plan including accuracy rates (AR), response times (RT), and functional integration values for the language and cognitive control network at each measure point was included, with further L1-L2 direct comparisons across the two populations. Results and Discussion: The evidence shows that learning L2 words through repetition induces neuroplasticity at the network level. Specifically, L2 word learners showed increased network integration after 3 weeks of training, with both close and distant language pairs. Moreover, higher network integration was observed in the learners with the close language pair, suggesting that repetition effects on network configuration vary as a function of task complexity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 15%
Student > Master 20 14%
Student > Bachelor 19 13%
Researcher 9 6%
Student > Doctoral Student 7 5%
Other 26 18%
Unknown 40 28%
Readers by discipline Count As %
Psychology 24 17%
Linguistics 21 15%
Neuroscience 13 9%
Social Sciences 11 8%
Nursing and Health Professions 5 4%
Other 23 16%
Unknown 45 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2023.
All research outputs
#1,487,539
of 24,736,359 outputs
Outputs from Frontiers in Human Neuroscience
#698
of 7,542 outputs
Outputs of similar age
#29,744
of 325,839 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#13
of 134 outputs
Altmetric has tracked 24,736,359 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,839 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.