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White Matter Development in Early Puberty: A Longitudinal Volumetric and Diffusion Tensor Imaging Twin Study

Overview of attention for article published in PLOS ONE, April 2012
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Title
White Matter Development in Early Puberty: A Longitudinal Volumetric and Diffusion Tensor Imaging Twin Study
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0032316
Pubmed ID
Authors

Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Inge L. C. van Soelen, G. Caroline van Baal, Jiska S. Peper, René S. Kahn, Dorret I. Boomsma, H. E. Hulshoff Pol

Abstract

White matter microstructure and volume show synchronous developmental patterns in children. White matter volume increases considerably during development. Fractional anisotropy, a measure for white matter microstructural directionality, also increases with age. Development of white matter volume and development of white matter microstructure seem to go hand in hand. The extent to which the same or different genetic and/or environmental factors drive these two aspects of white matter maturation is currently unknown. We mapped changes in white matter volume, surface area and diffusion parameters in mono- and dizygotic twins who were scanned at age 9 (203 individuals) and again at age 12 (126 individuals). Over the three-year interval, white matter volume (+6.0%) and surface area (+1.7%) increased, fiber bundles expanded (most pronounced in the left arcuate fasciculus and splenium), and fractional anisotropy increased (+3.0%). Genes influenced white matter volume (heritability ~85%), surface area (~85%), and fractional anisotropy (locally 7% to 50%) at both ages. Finally, volumetric white matter growth was negatively correlated with fractional anisotropy increase (r = -0.62) and this relationship was driven by environmental factors. In children who showed the most pronounced white matter growth, fractional anisotropy increased the least and vice-versa. Thus, white matter development in childhood may reflect a process of both expansion and fiber optimization.

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Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Netherlands 2 2%
Germany 1 <1%
Unknown 107 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 23%
Researcher 21 18%
Student > Master 13 11%
Student > Bachelor 11 10%
Professor > Associate Professor 8 7%
Other 20 17%
Unknown 16 14%
Readers by discipline Count As %
Neuroscience 26 23%
Psychology 22 19%
Medicine and Dentistry 15 13%
Agricultural and Biological Sciences 13 11%
Sports and Recreations 3 3%
Other 11 10%
Unknown 25 22%