Growth patterns in the developing brain detected by using continuum mechanical tensor maps

Paul M. Thompson, Jay N. Giedd, Roger P. Woods, David MacDonald, Alan C. Evans and Arthur W. Toga ()
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Paul M. Thompson: Laboratory of Neuro Imaging, UCLA School of Medicine
Jay N. Giedd: Child Psychiatry Branch, National Institute of Mental Health, NIH
Roger P. Woods: Laboratory of Neuro Imaging, UCLA School of Medicine
David MacDonald: Montreal Neurological Institute, McGill University
Alan C. Evans: Montreal Neurological Institute, McGill University
Arthur W. Toga: Laboratory of Neuro Imaging, UCLA School of Medicine

Nature, 2000, vol. 404, issue 6774, 190-193

Abstract: Abstract The dynamic nature of growth and degenerative disease processes requires the design of sensitive strategies to detect, track and quantify structural change in the brain in its full spatial and temporal complexity1. Although volumes of brain substructures are known to change during development2, detailed maps of these dynamic growth processes have been unavailable. Here we report the creation of spatially complex, four-dimensional quantitative maps of growth patterns in the developing human brain, detected using a tensor mapping strategy with greater spatial detail and sensitivity than previously obtainable. By repeatedly scanning children (aged 3–15 years) across time spans of up to four years, a rostro-caudal wave of growth was detected at the corpus callosum, a fibre system that relays information between brain hemispheres. Peak growth rates, in fibres innervating association and language cortices, were attenuated after puberty, and contrasted sharply with a severe, spatially localized loss of subcortical grey matter. Conversely, at ages 3–6 years, the fastest growth rates occurred in frontal networks that regulate the planning of new actions. Local rates, profiles, and principal directions of growth were visualized in each individual child.

Date: 2000
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DOI: 10.1038/35004593

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