A DTI-Based Template-Free Cortical Connectome Study of Brain Maturation

被引:57
|
作者
Tymofiyeva, Olga [1 ]
Hess, Christopher P. [1 ]
Ziv, Etay [1 ]
Lee, Patricia N. [1 ]
Glass, Hannah C. [2 ,3 ]
Ferriero, Donna M. [2 ,3 ]
Barkovich, A. James [1 ,2 ,3 ]
Xu, Duan [1 ]
机构
[1] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Neurol, San Francisco, CA USA
[3] Univ Calif San Francisco, Dept Pediat, San Francisco, CA USA
来源
PLOS ONE | 2013年 / 8卷 / 05期
基金
美国国家卫生研究院;
关键词
STRUCTURAL CONNECTIVITY; NETWORKS; TRACTOGRAPHY;
D O I
10.1371/journal.pone.0063310
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Improved understanding of how the human brain is "wired" on a macroscale may now be possible due to the emerging field of MRI connectomics. However, mapping the rapidly developing infant brain networks poses challenges. In this study, we applied an automated template-free "baby connectome" framework using diffusion MRI to non-invasively map the structural brain networks in subjects of different ages, including premature neonates, term-born neonates, six-month-old infants, and adults. We observed increasing brain network integration and decreasing segregation with age in term-born subjects. We also explored how the equal area nodes can be grouped into modules without any prior anatomical information - an important step toward a fully network-driven registration and analysis of brain connectivity.
引用
收藏
页数:10
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