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  Neural language networks at birth

Perani, D., Saccuman, M., Scifo, P., Anwander, A., Spada, D., Baldoli, C., et al. (2011). Neural language networks at birth. Proceedings of the National Academy of Sciences of the United States of America, 108(38), 16056-16061. doi:10.1073/pnas.1102991108.

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 Creators:
Perani, D, Author
Saccuman, MC, Author
Scifo, P, Author
Anwander, A, Author
Spada, D, Author
Baldoli, C, Author
Poloniato, A, Author
Lohmann, G1, Author           
Friederici, AD, Author
Affiliations:
1Max Planck Institute for Human Cognitive and Brain Sciences, ou_persistent22              

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Free keywords: Brain activity; Newborns; Dorsal pathway; Ventral pathway
 Abstract: The ability to learn language is a human trait. In adults and children, brain imaging studies have shown that auditory language activates a bilateral frontotemporal network with a left hemispheric dominance. It is an open question whether these activations represent the complete neural basis for language present at birth. Here we demonstrate that in 2-d-old infants, the language-related neural substrate is fully active in both hemispheres with a preponderance in the right auditory cortex. Functional and structural connectivities within this neural network, however, are immature, with strong connectivities only between the two hemispheres, contrasting with the adult pattern of prevalent intrahemispheric connectivities. Thus, although the brain responds to spoken language already at birth, thereby providing a strong biological basis to acquire language, progressive maturation of intrahemispheric functional connectivity is yet to be established with language exposure as the brain develops.

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Language(s): eng - English
 Dates: 2011-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1073/pnas.1102991108
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington : National Academy of Sciences
Pages: - Volume / Issue: 108 (38) Sequence Number: - Start / End Page: 16056 - 16061 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230