Gestational age-specific DTI templates of the neonatal brain: Application in preterm developmental study
Due to significant differences in brain volume, morphology, and white matter integrity among neonates of varying gestational ages, using a single full-term template for preterm analysis inevitably introduces analytical errors. To address this, we aimed to develop gestational-age-specific stereotaxic DTI templates using retrospective diffusion MRI scans from 161 neonates acquired between August 2021 and January 2024. The cohort was stratified into four WHO-defined subgroups: extremely preterm (n = 31), very preterm (n = 29), moderate to late preterm (n = 28), and full-term (n = 73). Templates were constructed via iterative registration, with corresponding atlases transformed from JHU space and manually corrected. Quantitative evaluation using the Jacobian determinant and standard deviation revealed that our age-specific templates demonstrated significantly lower deformation magnitude and registration error compared to a standard full-term template. When applied to investigate developmental differences, we observed progressively more extensive fractional anisotropy reductions from moderate-to-late to extremely preterm neonates. Notably, commissural fibers, particularly the corpus callosum body (0.194 ± 0.005 in extremely preterm vs. 0.230 ± 0.003 in full-term, p < 0.001), exhibited significant developmental gradients. Consequently, these constructed gestational-age-specific DTI templates offer a robust tool to improve the accuracy of morbidity risk predictions and facilitate multicenter studies of preterm neonates.
Authors
- Xiaochen Jiang (ORCID: https://orcid.org/0000-0003-3150-8643)
- Guangjuan Mao
- Bingyan Nie (ORCID: https://orcid.org/0000-0002-2608-2396)
- Qi Zhou (ORCID: https://orcid.org/0000-0002-7609-1725)
- Shilun Zhao
- Y Liu
- Mengyi Wang
- Tianhao Zhang
- Baoci Shan
- Xuetao Mu
Institutions
- Tianjin Medical University General Hospital (CN)
- Chinese PLA General Hospital (CN)
- Key Laboratory of Nuclear Radiation and Nuclear Energy Technology (CN)
- Institute of High Energy Physics (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- NeuroImage
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1016/j.neuroimage.2026.121811
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00