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Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection
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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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“Diffusion values change much more gradually through later childhood and adolescence, with AD and RD decreasing and FA increasing. 34,35”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [34]
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“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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Metadata
- 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)
- PMC
- PMC2886186
- 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
- green
- www.ncbi.nlm.nih.gov
- 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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