Four-Dimensional Mapping of Dynamic Subcortical Development of Infant Brains

作者

Liangjun Chen¹ , Ya Wang¹ , Zhengwang Wu¹ , Yue Shan¹ , Tengfei Li¹ , Sheng-Che Hung¹ , Hongtu Zhu¹ , Weili Lin¹ , Li Wang¹ , Gang Li¹

1. University of North Carolina at Chapel Hill

会议/活动

Organization for Human Brain Mapping 2022, June 2022 (虚拟会议)

海报摘要

In this study, we investigate the dynamic early developmental patterns of the thalamus, caudate, putamen, pallidum, hippocampus, and amygdala, by leveraging 513 high-resolution longitudinal MRI scans densely covering the first two postnatal years. By exploring the gross volumetric development and spatiotemporally-detailed surface areal expansion of each subcortical structure, our study reveals that (1) each subcortical structure (except for the amygdala with an approximately linear increase) exhibits a distinct rapid volumetric growth after birth, then its growth rate slows down starting from a structure-specific age; (2) males gradually exhibit larger relative volume than females in the thalamus, putamen, pallidum, and hippocampus after birth; (3) the areal expansion of each subcortical structure is unique with high spatiotemporal heterogeneities. This study greatly advances our understanding of the dynamic and heterogeneous longitudinal developmental patterns of the subcortical structures during infancy.

关键词

Infant, Subcortical structures, MRI, Developmental trajectory, Surface area

研究领域

Bioinformatics and Genomics, Neuroscience

参考文献

1. Howell, et al., “The unc/umn baby connectome project (bcp): an overview of the study design and protocol development.” NeuroImage, 185, 2019: 891–905.
2. Wang, et al., Volume-based analysis of 6-month-old infant brain mri for autism biomarker identification and early diagnosis.” In: MICCAI, 2018.
3. Chen, et al., “A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation.” In: MICCAI, 2020.
4. Chen, et al., “A 4D Infant Brain Volumetric Atlas based on the UNC/UMN Baby Connectome Project (BCP) Cohort.” NeuroImage, 2022: 119097.
5. Avants et al., “The optimal template effect in hippocampus studies of diseased populations.” Neuroimage, 49 (3), 2010: 2457–2466.
6. Lin, et al., "Inference in generalized additive mixed modelsby using smoothing splines." Journal of the royal statistical society: Series b, 1999: 381-400.

基金

1. NIH (No. MH116225)
2. NIH (No. MH109773)
3. NIH (No. MH117943)
4. NIH (No. MH123202)

补充材料

暂无数据

附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

知识共享许可协议

Copyright © 2022 Chen et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.