Cited by 180Advanced Neuroimaging Techniques and ApplicationsMedical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection

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Faria, Andreia V., Zhang, Jiangyang, Oishi, Kenichi, Li, Xin, Jiang, Hangyi, Akhter, Kazi, Hermoye, Laurent, Lee, Seung-Koo +2 more·2010·NeuroImage

Abstract

Quantification of normal brain maturation is a crucial step in understanding developmental abnormalities in brain anatomy and function. The aim of this study was to develop atlas-based tools for time-dependent quantitative image analysis, and to characterize the anatomical changes that occur from 2years of age to adulthood. We used large deformation diffeomorphic metric mapping to register diffusion tensor images of normal participants into the common coordinates and used a pre-segmented atlas to segment the entire brain into 176 structures. Both voxel- and atlas-based analyses reported a structure that showed distinctive changes in terms of its volume and diffusivity measures. In the white matter, fractional anisotropy (FA) linearly increased with age in logarithmic scale, while diffusivity indices, such as apparent diffusion coefficient (ADC), and axial and radial diffusivity, decreased at a different rate in several regions. The average, variability, and the time course of each measured parameter are incorporated into the atlas, which can be used for automated detection of developmental abnormalities. As a demonstration of future application studies, the brainstem anatomy of cerebral palsy patients was evaluated and the altered anatomy was delineated.

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Crossref · 10.1016/j.neuroimage.2010.04.238

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  • Diffusion values change more gradually through later childhood and adolescence, with axial and radial diffusivity decreasing and fractional anisotropy increasing.

    “Diffusion values change much more gradually through later childhood and adolescence, with AD and RD decreasing and FA increasing. 34,35”
  • Differentiation of cognitive control networks is obtained through maturation of major white matter tracts, which is measurable by DTI, and therefore, gradually, an adult organization of cognitive control and self-regulation emerges.

    “Thus, differentiation of cognitive control networks is obtained through maturation of major white matter (WM) tracts, which is measurable by diffusion tensor imaging (DTI) (23–27), and therefore, gradually, an adult organization of cognitive control and self-regulation emerges.”

    From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [23]

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Authors
Faria, A. V., Zhang, J., Oishi, K., Li, X., Jiang, H., Akhter, K., Hermoye, L., Lee, S.-K., Hoon, A., & Stashinko, E.
Affiliations
  • Johns Hopkins University (US)
  • Kennedy Krieger Institute (US)
  • UCLouvain (BE)
  • Yonsei University (KR)
Venue
NeuroImage
Publisher
Elsevier BV
Published
2010-08-15
Volume
52
Issue
2
Pages
415-428
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2025108982
Cited by
180
References
91
Citations by year
2026: 8 · 2025: 5 · 2024: 5 · 2023: 7 · 2022: 6 · 2021: 8 · 2020: 6 · 2019: 8 · 2018: 5 · 2017: 18 · 2016: 11 · 2015: 15 · 2014: 16 · 2013: 32 · 2012: 15
FWCI
15.85
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
Funders
  • Johns Hopkins University
  • National Institute on Aging (R01AG020012, AG 20012)
  • National Institute of Neurological Disorders and Stroke (R01NS058299, F05NS059230)
  • National Institute of Biomedical Imaging and Bioengineering (P41EB015909)
  • National Center for Research Resources (RR 015241, P41RR015241, P41RR005959)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
brain maturation, brain development, diffusion tensor imaging, brain atlas, longitudinal brain development, fractional anisotropy, apparent diffusion coefficient, white matter maturation, brainstem anatomy, cerebral palsy, brain structure segmentation
MeSH terms
Adolescent, Adult, Atlases as Topic, Automation, Brain, Child, Child, Preschool, Diagnosis, Computer-Assisted, Diffusion, Female, Humans, Image Processing, Computer-Assisted, Male, Nerve Fibers, Myelinated, Organ Size, Time Factors, Linear Models, Anisotropy, Young Adult, Diffusion Tensor Imaging

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