Wayne Lee
University of Toronto
25 Papers
85 Citations
Wayne Lee is an academic researcher from University of Toronto. The author has contributed to research in topics: Medicine & Posterior cingulate. The author has an hindex of 16, co-authored 23 publications.
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Papers
The neural correlates of visuo-spatial working memory in children with autism spectrum disorder: effects of cognitive load.
Vanessa M. Vogan,Benjamin R. Morgan,Wayne Lee,Tamara L. Powell,Mary Lou Smith,Margot J. Taylor,Margot J. Taylor +6 more
TL;DR: The data suggest that children with ASD rely mainly on posterior brain regions associated with visual and lower level processing, whereas controls showed activity in frontal lobes related to the classic WM network.
Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children.
Julia M. Young,Tamara L. Powell,Benjamin R. Morgan,Dallas Card,Wayne Lee,Mary Lou Smith,John G. Sled,Margot J. Taylor +7 more
TL;DR: Deep grey matter growth rates are highlighted as promising biomarkers of long-term outcomes following very preterm birth, and contribute to the understanding of the brain-behaviour relations in these children.
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The development of regional functional connectivity in preterm infants into early childhood
Wayne Lee,Benjamin R. Morgan,Manohar Shroff,John G. Sled,John G. Sled,Margot J. Taylor,Margot J. Taylor +6 more
TL;DR: Differences in developmental trajectory between preterm-born and term-born infants are small and, if present, would require a large sample from both populations to be detected.
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B1 mapping for bias-correction in quantitative T1 imaging of the brain at 3T using standard pulse sequences.
TL;DR: The aim of this work was to demonstrate that B1 mapping implemented using standard scanner product pulse sequences can produce B1 (and VFA T1) maps comparable in quality and acquisition time to advanced techniques.
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White matter microstructural differences identified using multi-shell diffusion imaging in six-year-old children born very preterm.
Julia M. Young,Marlee M. Vandewouw,Sarah I. Mossad,Benjamin R. Morgan,Wayne Lee,Mary Lou Smith,John G. Sled,Margot J. Taylor +7 more
TL;DR: Children born very preterm exhibit lower FA and higher ODI than full-term children and NODDI metrics provide more biologically specific information beyond DTI metrics as well as additional information of the impact of prematurity and white matter microstructure on cognitive outcomes at six years of age.
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