The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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)
Citations
Cites
Regional Development of the Brain in Early Life
(1968) · Archives of Disease in Childhood · doi:10.1136/adc.43.229.388 · Cited by 2,107
Rapid Automated Algorithm for Aligning and Reslicing PET Images
Woods, R. P., Cherry, S. R., & Mazziotta, J. C. (1992) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199207000-00024 · Cited by 1,901
Self-citationPositron emission tomography study of human brain functional development
Chugani, H. T., Phelps, M. E., & Mazziotta, J. C. (1987) · Annals of Neurology · doi:10.1002/ana.410220408 · Cited by 1,548
In vivo evidence for post-adolescent brain maturation in frontal and striatal regions
Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999) · Nature Neuroscience · doi:10.1038/13154 · Cited by 1,439
Self-citationQuantitative magnetic resonance imaging of human brain development: ages 4–18
Giedd, J. N., Snell, J. W., Lange, N., Rajapakse, J. C., Casey, B. J., Kozuch, P. L., Vaituzis, A. C., Vauss, Y. C., Hamburger, S. D., Kaysen, D., et al. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.4.551 · Cited by 1,024
Self-citationComputational anatomy: an emerging discipline
Grenander, U., & Miller, M. I. (1998) · Quarterly of Applied Mathematics · doi:10.1090/qam/1668732 · Cited by 619
A surface-based technique for warping three-dimensional images of the brain
Thompson, P. M., & Toga, A. W. (1996) · IEEE Transactions on Medical Imaging · doi:10.1109/42.511745 · Cited by 514
Self-citationVisualisation and quantification of rates of atrophy in Alzheimer's disease
Fox, N. C., Freeborough, P. A., & Rossor, M. N. (1996) · The Lancet · doi:10.1016/s0140-6736(96)05228-2 · Cited by 378
Three-dimensional statistical analysis of sulcal variability in the human brain
Thompson, P. M., Schwartz, C., Lin, R. T., Khan, A. A., & Toga, A. W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04261.1996 · Cited by 346
Self-citationDetection and Mapping of Abnormal Brain Structure with a Probabilistic Atlas of Cortical Surfaces
Thompson, P. M., MacDonald, D. J., Mega, M. S., Holmes, C. J., Evans, A. C., & Toga, A. W. (1997) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199707000-00008 · Cited by 320
Self-citationCortical variability and asymmetry in normal aging and Alzheimer's disease
Thompson, P. M. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.6.492 · Cited by 264
Self-citationThompson, P. M., & Toga, A. W. (1997) · Medical Image Analysis · doi:10.1016/s1361-8415(97)85002-5 · Cited by 227
Self-citationSpatial Normalization of 3D Brain Images Using Deformable Models
Davatzikos, C. A. (1996) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199607000-00031 · Cited by 225
Brain segmentation and white matter lesion detection in MR images.
Zijdenbos, A. P., & Dawant, B. M. (1994) · PubMed · Cited by 224
Visualization in biomedical computing
Robb, R. A. (1999) · Parallel Computing · doi:10.1016/s0167-8191(99)00076-9 · Cited by 212
Freeborough, P. A., Woods, R. P., & Fox, N. C. (1996) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199611000-00030 · Cited by 158
Self-citationGrimshaw, G. M., Adelstein, A., Bryden, M. P., & MacKinnon, G. E. (1998) · Brain and Language · doi:10.1006/brln.1997.1943 · Cited by 105
Equilibrium vortex configurations in domains with boundary
Miller, K. G. (1998) · Quarterly of Applied Mathematics · doi:10.1090/qam/1632318 · Cited by 2
Flagged first, then by citations
Research works printed but not linked: 1
- Thompson, P. M. & Toga, A. W. in Brain Warping (ed. Toga, A. W.) 311–336 (Academic, San Diego, 1998).
Cited by
Sorted by citations
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604
Self-citationRice, D., & Barone, S. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.00108s3511 · Cited by 2,944
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328
Self-citationDevelopment of the adolescent brain: implications for executive function and social cognition
Blakemore, S., & Choudhury, S. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01611.x · Cited by 2,328
Mazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G. V., Pike, G. B., et al. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,417
Self-citation
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
