Inter-Parietal White Matter Development Predicts Numerical Performance in Young Children.
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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.
Published Version (Please cite this version)10.1016/j.lindif.2011.09.003
Publication InfoBrannon, Elizabeth M; Cantlon, JF; Davis, Simon Wilton; Kahane, J; Libertus, ME; & Pelphrey, Kevin A (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 http://hdl.handle.net/10161/13479.
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Professor in the Department of Psychology and Neuroscience
Dr. Brannon's research program examines the evolution and development of quantitative cognition. She studies how number, time, and spatial extent are represented by adult humans, infants, young children and nonhuman animals without language. With her many collaborators at Duke she applies behavioral techniques, event-related potentials, functional magnetic resonance imaging, and single-unit physiology to explore the cognitive and neural underpinnings of numerical cognition in nonhuman primates
This author no longer has a Scholars@Duke profile, so the information shown here reflects their Duke status at the time this item was deposited.
Assistant Professor in Neurology
My research centers around the use of structural and functional imaging measures to study the shifts in network architecture in the aging brain. I am specifically interested in changes in how changes in structural and functional connectivity associated with aging impact the semantic retrieval of word or fact knowledge. Currently this involves asking why older adults have particular difficulty in certain kinds of semantic retrieval, despite the fact that vocabularies and knowledge stores typic
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