Inter-Parietal White Matter Development Predicts Numerical Performance in Young Children.

Abstract

In an effort to understand the role of interhemispheric transfer in numerical development, we investigated the relationship between children's developing knowledge of numbers and the integrity of their white matter connections between the cerebral hemispheres (the corpus callosum). We used diffusion tensor imaging (DTI) tractography analyses to test the link between the development of the corpus callosum and performance on symbolic and non-symbolic numerical judgment tasks. We were especially interested in the interhemispheric connections of parietal cortex in 6-year-old children, because regions of parietal cortex have been implicated in the development of numerical skills by several prior studies. Our results revealed significant structural differences between children and adults in the fibers of the corpus callosum connecting the left and right parietal lobes. Importantly, these structural differences were predictive of individual differences among children in performance on numerical judgment tasks: children with poor numerical performance relative to their peers exhibited reduced white matter coherence in the fibers passing through the isthmus of the corpus callosum, which connects the parietal hemispheres.

Department

Description

Provenance

Subjects

Citation

Published Version (Please cite this version)

10.1016/j.lindif.2011.09.003

Publication Info

Cantlon, Jessica F, Simon W Davis, Melissa E Libertus, Jill Kahane, Elizabeth M Brannon and Kevin A Pelphrey (2011). Inter-Parietal White Matter Development Predicts Numerical Performance in Young Children. Learn Individ Differ, 21(6). pp. 672–680. 10.1016/j.lindif.2011.09.003 Retrieved from https://hdl.handle.net/10161/13479.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.