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Cited by 1,322Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Structural Maturation of Neural Pathways in Children and Adolescents: In Vivo Study

Paus, Tomáš, Zijdenbos, Alex, Worsley, Keith, Collins, D. Louis, Blumenthal, Jonathan, Giedd, Jay N., Rapoport, Judith L., Evans, Alan C.·1999·Science
DOI 10.1126/science.283.5409.1908
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Abstract

Structural maturation of fiber tracts in the human brain, including an increase in the diameter and myelination of axons, may play a role in cognitive development during childhood and adolescence. A computational analysis of structural magnetic resonance images obtained in 111 children and adolescents revealed age-related increases in white matter density in fiber tracts constituting putative corticospinal and frontotemporal pathways. The maturation of the corticospinal tract was bilateral, whereas that of the frontotemporal pathway was found predominantly in the left (speech-dominant) hemisphere. These findings provide evidence for a gradual maturation, during late childhood and adolescence, of fiber pathways presumably supporting motor and speech functions.

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Crossref · 10.1126/science.283.5409.1908

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Citations

Cites

Research works printed but not linked: 6

  1. ; P. I. Yakovlev and A. R. Lecours in Regional Development of the Brain in Early Life A. Minkowski Ed. (Blackwell Scientific Oxford 1967) pp. 3–70;
  2. ]. The Institutional Review Board of NIMH approved the protocol. Written consent from the parents and assent from the children were obtained.
  3. ] we first transformed the acquired images into standardized stereotactic space in a linear fashion [J. Talairach and P. Tournoux Co-planar Stereotactic Atlas of the Human Brain: 3-Dimensional Proportional System. An Approach to Cerebral Imaging (Thieme Stuttgart 1988)] followed by nonlinear deformation to match a template brain. These registration procedures are based on an automatic multiscale feature-matching algorithm [
  4. ]. Subsequently a binary white matter mask was generated for each subject by means of an automatic tissue-classification algorithm. This algorithm is based on classification that uses an artificial neural network classifier (25). For each individual T 1 -weighted image we trained the algorithm by providing the stereotactic coordinates of brain regions (voxels) with a minimal 90% likelihood of being gray matter white matter or cerebrospinal fluid [A. Zijdenbos et al. Proceedings of the 4th International Conference on Visualization in Biomedical Computing K. H. Hohne and R. Kikinis Eds. (Springer Berlin 1996) pp. 439–448; V. Kollokian thesis Concordia University Montreal (1996)]. The white matter masks obtained in this way were blurred using a Gaussian smoothing kernel (full width at half-maximum 10 mm); such a smoothing process averages the binary (0 or 1) values of neighboring voxels in 3D space thus increasing signal-to-noise ratio. The voxel values in the resulting blurred white matter masks are referred to as white matter density (6).
  5. Moore J., Guan Y., Wu B. J., Assoc. Res. Otolaryngol. Abstr. 20, 28 (1997).
  6. Vymazal J., et al., Magn. Reson. Imaging 36, 56 (1996);

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Metadata

Authors
Paus, T., Zijdenbos, A., Worsley, K., Collins, D. L., Blumenthal, J., Giedd, J. N., Rapoport, J. L., & Evans, A. C.
Affiliations
  • Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada.
  • Montreal Neurological Institute and Hospital (CA)
  • National Institutes of Health (US)
ORCID
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
1999-03-19
Volume
283
Issue
5409
Pages
1908-1911
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.283.5409.1908
OpenAlex
W2089127919
Cited by
1,322
References
42
Citations by year
2026: 11 · 2025: 21 · 2024: 15 · 2023: 40 · 2022: 26 · 2021: 30 · 2020: 39 · 2019: 28 · 2018: 42 · 2017: 46 · 2016: 63 · 2015: 58 · 2014: 55 · 2013: 96 · 2012: 56
FWCI
35.70
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
white matter maturation, corticospinal tract, fiber tracts, myelination, axon diameter, cognitive development, children, adolescents, hemispheric lateralization, motor function, structural MRI
MeSH terms
Adolescent, Aging, Axons, Brain, Brain Mapping, Child, Child, Preschool, Female, Frontal Lobe, Humans, Magnetic Resonance Imaging, Male, Motor Skills, Myelin Sheath, Nerve Fibers, Neural Conduction, Neural Pathways, Synaptic Transmission, Regression Analysis, Speech, Spinal Cord, Temporal Lobe

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