Strength of Temporal White Matter Pathways Predicts Semantic Learning
SIGNIFICANCE STATEMENT
The language-processing network is cortically (i.e., gray matter) well defined. However, the role of the white matter pathways that support novel word learning within this network remains unclear. In this work, we dissected language-related (arcuate, uncinate, inferior-fronto-occipital, and inferior-longitudinal) fasciculi using manual and automatic tracking. We found the left inferior-longitudinal fasciculus to be predictive of word-learning success in two word-to-meaning tasks: contextual and cross-situational learning paradigms. The left uncinate was predictive of cross-situational word learning. No significant correlations were found for the arcuate or the inferior-fronto-occipital fasciculus. While previous results showed that learning new phonological word forms is supported by the arcuate fasciculus, these findings demonstrate that learning new word-to-meaning associations is mainly dependent on temporal white matter pathways.
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John Ashburner
David Badre, Anthony D. Wagner
Peter J. Basser, Sinisa Pajevic, Carlo Pierpaoli et al.
M CATANI, M THIEBAUTDESCHOTTEN
Marco Catani, Derek K. Jones, Dominic H. ffytche
R. Douglas Fields
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- Published
- Oct 12, 2017
- Vol/Issue
- 37(46)
- Pages
- 11101-11113
- License
- View
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