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Growth patterns in the developing brain detected by using continuum mechanical tensor maps
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 complexity. Although volumes of brain substructures are known to change during development, 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.
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“In an earlier report (28), we developed an approach using tensor mapping to measure the local growth rates and tissue-loss rates at a local level in the anatomy of the caudate and corpus callosum.”
From Dynamic mapping of human cortical development during childhood through early adulthood (2004) · cites this paper as [28]
In the citing paper
“In very small regions of these structures, local growth rates exceeded 40% per year, and local tissue-loss rates reached 40% per year in small regions of the basal ganglia.”
From Dynamic mapping of human cortical development during childhood through early adulthood (2004) · cites this paper as [28]
In the citing paper
“In the older group (11 to 15 years) a localised grey matter decrease in the frontal cortex was observed.This study provided further evidence of a sharp acceleration of grey matter density loss between childhood and adolescence in dorsal frontal cortex.”
From Development of the adolescent brain: implications for executive function and social cognition (2006) · cites this paper as Thompson et al. (2000)
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Self-citationMake-Believe Play: Wellspring for Development of Self-Regulation
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Longitudinal stability of MRI for mapping brain change using tensor-based morphometry
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Self-citationLeow, A., Yanovsky, I., Chiang, M.-C., Lee, A. D., Klunder, A. D., Lu, A. P., Becker, J. T., Davis, S. W., Toga, A. W., & Thompson, P. M. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.892646 · Cited by 209
Self-citationSex steroids and brain structure in pubertal boys and girls: a mini-review of neuroimaging studies
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3D pattern of brain abnormalities in Williams syndrome visualized using tensor-based morphometry
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Self-citationThe role of image registration in brain mapping
Toga, A. W., & Thompson, P. M. (2001) · Image and Vision Computing · doi:10.1016/s0262-8856(00)00055-x · Cited by 196
Self-citationCheung, V., Cheung, C. C. G., McAlonan, G. M., Deng, Y. M., Wong, J. G., Yip, L., Tai, K. S., Khong, P. L., Sham, P. C., & Chua, S. E. (2007) · Psychological Medicine · doi:10.1017/s0033291707001808 · Cited by 197
Steinberg, L. D., Dahl, R. E., Keating, D. P., Kupfer, D. J., Masten, A. S., & Pine, D. S. (2015) · Wiley eBooks · doi:10.1002/9780470939390.ch18 · Cited by 202
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Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms
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Metadata
- Authors
- Thompson, P. M., Giedd, J. N., Woods, R. P., MacDonald, D., Evans, A. C., & Toga, A. W.
- Affiliations
- University of California, Los Angeles (US)
- National Institutes of Health (US)
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Toga, Arthur W.
- Venue
- Nature
- Published
- 2000-03
- Volume
- 404
- Issue
- 6774
- Pages
- 190-193
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2006557707
- Cited by
- 850
- References
- 18
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 15 · 2022: 9 · 2021: 11 · 2020: 23 · 2019: 15 · 2018: 20 · 2017: 23 · 2016: 28 · 2015: 33 · 2014: 31 · 2013: 59 · 2012: 37
- FWCI
- 42.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- brain growth, human brain development, corpus callosum, gray matter loss, puberty, frontal cortex, association cortex, language cortex, continuum mechanics, longitudinal neuroimaging, children
- MeSH terms
- Adolescent, Brain, Brain Mapping, Child, Child, Preschool, Corpus Callosum, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male
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