Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging

Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging
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DOI:
10.1093/cercor/bhu068
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发表时间:
2015-09-01
期刊:
影响因子:
3.7
通讯作者:
Verma, Ragini
Verma, Ragini
中科院分区:
医学2区
文献类型:
--
作者:
Ingalhalikar, Madhura;Parker, Drew;Verma, Ragini

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本文提出了一种利用扩散张量磁共振成像和连接性分析工具相结合的方法来建立结构性小鼠连接体的综合努力。这项工作为小鼠大脑基于成像的结构连接组学奠定了基础,有可能促进全脑网络分析,以量化发育过程中大脑连接的变化,以及与遗传效应相关的偏离连接的情况。在C57BL/6J小鼠品系中,使用全脑连通性分析,提出了出生后2-80天的成熟连接轨迹,随后基于局部和全球网络特征进行了研究。密度、全球效率和模块化的全球网络衡量标准显示出与年龄的非线性关系。区域网络指标,即度数和局部效率,在主要皮质下结构,如丘脑和海马体,以及皮质区域,如视觉和运动皮质,显示出不同的变化。最后,连接被用来得出“大脑连通性指数”,该指数与实际年龄高度相关(r=0.95),表明大脑连通性是正常年龄进展的一个很好的标志,因此在检测由遗传、环境或药物操纵引起的与正常的细微偏差方面很有价值。
This paper presents a comprehensive effort to establish a structural mouse connectome using diffusion tensor magnetic resonance imaging coupled with connectivity analysis tools. This work lays the foundation for imaging-based structural connectomics of the mouse brain, potentially facilitating a whole-brain network analysis to quantify brain changes in connectivity during development, as well as deviations from it related to genetic effects. A connectomic trajectory of maturation during postnatal ages 2-80 days is presented in the C57BL/6J mouse strain, using a whole-brain connectivity analysis, followed by investigations based on local and global network features. The global network measures of density, global efficiency, and modularity demonstrated a nonlinear relationship with age. The regional network metrics, namely degree and local efficiency, displayed a differential change in the major subcortical structures such as the thalamus and hippocampus, and cortical regions such as visual and motor cortex. Finally, the connectomes were used to derive an index of "brain connectivity index," which demonstrated a high correlation (r= 0.95) with the chronological age, indicating that brain connectivity is a good marker of normal age progression, hence valuable in detecting subtle deviations from normality caused by genetic, environmental, or pharmacological manipulations.