An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI.
An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI.
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DOI：
10.1016/j.neuroimage.2012.11.037
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发表时间：
2013-02-15
期刊：
影响因子：
5.7
通讯作者：
Watson C
中科院分区：
文献类型：
--
作者：
Calabrese E;Johnson GA;Watson C
出生后的神经发育阶段与包括自闭症和精神分裂症在内的许多脑部疾病有关。啮齿类动物模型已经被证明在促进我们对人类大脑的理解方面是无价的，并且几乎肯定会在未来的产后神经发育研究中发挥关键作用。如果磁共振显微镜能够成功地和适当地融入现有的大量神经科学研究中，它有可能彻底改变我们对神经发育的理解。在这项研究中，我们展示了一种专门用于跟踪出生后神经发育过程中MR生物标志物区域变化的发育神经本体论的实用性。利用这种本体论分类作为分割指南，我们追踪了大鼠出生后第0天和第80天之间脑容量的区域变化，并证明了轴向和旁轴向脑区域的不同生长速率。本体论和相关的标签量为未来基于核磁共振的正常和疾病状态下出生后神经发育研究提供了基础。
The postnatal period of neurodevelopment has been implicated in a number of brain disorders including autism and schizophrenia. Rodent models have proven to be invaluable in advancing our understanding of the human brain, and will almost certainly play a pivotal role in future studies on postnatal neurodevelopment. The growing field of magnetic resonance microscopy has the potential to revolutionize our understanding of neurodevelopment, if it can be successfully and appropriately assimilated into the vast body of existing neuroscience research. In this study, we demonstrate the utility of a developmental neuro-ontology designed specifically for tracking regional changes in MR biomarkers throughout postnatal neurodevelopment. Using this ontological classification as a segmentation guide, we track regional changes in brain volume in rats between postnatal day zero and postnatal day 80 and demonstrate differential growth rates in axial versus paraxial brain regions. Both the ontology and the associated label volumes are provided as a foundation for future MR-based studies of postnatal neurodevelopment in normal and disease states.
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