Spatial mapping of structural and connectional imaging data for the developing human brain with diffusion tensor imaging

Austin Ouyang, Tina Jeon, Susan M. Sunkin, Mihovil Pletikos, Goran Sedmak, Nenad Sestan, Ed S. Lein, Hao Huang

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

During human brain development from fetal stage to adulthood, the white matter (WM) tracts undergo dramatic changes. Diffusion tensor imaging (DTI), a widely used magnetic resonance imaging (MRI) modality, offers insight into the dynamic changes of WM fibers as these fibers can be noninvasively traced and three-dimensionally (3D) reconstructed with DTI tractography. The DTI and conventional T1 weighted MRI images also provide sufficient cortical anatomical details for mapping the cortical regions of interests (ROIs). In this paper, we described basic concepts and methods of DTI techniques that can be used to trace major WM tracts noninvasively from fetal brain of 14. postconceptional weeks (pcw) to adult brain. We applied these techniques to acquire DTI data and trace, reconstruct and visualize major WM tracts during development. After categorizing major WM fiber bundles into five unique functional tract groups, namely limbic, brain stem, projection, commissural and association tracts, we revealed formation and maturation of these 3D reconstructed WM tracts of the developing human brain. The structural and connectional imaging data offered by DTI provides the anatomical backbone of transcriptional atlas of the developing human brain.

Original languageEnglish (US)
Pages (from-to)27-37
Number of pages11
JournalMethods
Volume73
DOIs
StatePublished - Feb 1 2015

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Keywords

  • Connection
  • Cortical mapping
  • DTI
  • Fetal brain
  • Human brain development
  • Tractography

ASJC Scopus subject areas

  • Molecular Biology
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Ouyang, A., Jeon, T., Sunkin, S. M., Pletikos, M., Sedmak, G., Sestan, N., Lein, E. S., & Huang, H. (2015). Spatial mapping of structural and connectional imaging data for the developing human brain with diffusion tensor imaging. Methods, 73, 27-37. https://doi.org/10.1016/j.ymeth.2014.10.025