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Maturation of the Language Network: From Inter- to Intrahemispheric Connectivities

Overview of attention for article published in PLOS ONE, June 2011
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Title
Maturation of the Language Network: From Inter- to Intrahemispheric Connectivities
Published in
PLOS ONE, June 2011
DOI 10.1371/journal.pone.0020726
Pubmed ID
Authors

Angela D. Friederici, Jens Brauer, Gabriele Lohmann

Abstract

Language development must go hand-in-hand with brain maturation. Little is known about how the brain develops to serve language processing, in particular, the processing of complex syntax, a capacity unique to humans. Behavioral reports indicate that the ability to process complex syntax is not yet adult-like by the age of seven years. Here, we apply a novel method to demonstrate that the basic neural basis of language, as revealed by low frequency fluctuation stemming from functional MRI data, differs between six-year-old children and adults in crucial aspects. Although the classical language regions are actively in place by the age of six, the functional connectivity between these regions clearly is not. In contrast to adults who show strong connectivities between frontal and temporal language regions within the left hemisphere, children's default language network is characterized by a strong functional interhemispheric connectivity, mainly between the superior temporal regions. These data indicate a functional reorganization of the neural network underlying language development towards a system that allows a close interplay between frontal and temporal regions within the left hemisphere.

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The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 3 1%
Germany 2 <1%
Colombia 2 <1%
Italy 2 <1%
Australia 1 <1%
Switzerland 1 <1%
China 1 <1%
Chile 1 <1%
Other 0 0%
Unknown 193 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 23%
Researcher 30 14%
Student > Master 27 13%
Professor 15 7%
Student > Doctoral Student 12 6%
Other 45 21%
Unknown 33 16%
Readers by discipline Count As %
Psychology 56 27%
Neuroscience 26 12%
Medicine and Dentistry 21 10%
Agricultural and Biological Sciences 16 8%
Linguistics 12 6%
Other 35 17%
Unknown 45 21%