The structural connectome of the human brain in agenesis of the corpus callosum.

The structural connectome of the human brain in agenesis of the corpus callosum.
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DOI:
10.1016/j.neuroimage.2012.12.031
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发表时间:
2013-04-15
期刊:
影响因子:
5.7
通讯作者:
Mukherjee P
Mukherjee P
中科院分区:
医学1区
文献类型:
--
作者:
Owen JP;Li YO;Ziv E;Strominger Z;Gold J;Bukhpun P;Wakahiro M;Friedman EJ;Sherr EH;Mukherjee P

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采用网络的角度来看,结构连接体揭示了大规模的白色物质连接的人类大脑,产生洞察大脑组织,否则无法访问的研究人员和临床医生。连接组学在阐明先天性脑畸形,特别是轴突寻路障碍的异常连接方面具有很大的潜力。胼胝体发育(AgCC)是最常见的脑畸形之一,也可以被认为是人类轴突导向的典型遗传性疾病。在这项探索性研究中,AgCC的结构连接体被映射并与正常人脑的结构连接体进行比较。AgCC连接体的多个级别的粒度进行了研究,包括总结网络指标,模块化分析,和网络一致性措施,与正常的结构连接体相比,模拟去除所有胼胝体连接(“虚拟胼胝体造口术”)。这些调查揭示了四个主要发现。首先,全球连接异常减少AgCC,但本地连接增加。其次,AgCC的网络拓扑结构比正常人连接体的网络拓扑结构更易变,这与虚拟胼胝体切开术模型的预测相矛盾。第三,模块性分析表明,许多束,包括大脑皮层的结构核心有相对较弱的连接,在AgCC,特别是扣带束双边。最后,AgCC连接体中Probst束的虚拟损伤表明,在这些异位白色物质束产生的许多连接中,受试者之间存在一致性,并且它们是皮质和皮质下纤维的混合物。这些结果超越了以前的扩散纤维束成像研究提供了一个系统级的角度异常连接AgCC。此外,这项工作提供了一个证明的原则,在神经发育障碍的连接体框架的效用。
Adopting a network perspective, the structural connectome reveals the large-scale white matter connectivity of the human brain, yielding insights into cerebral organization otherwise inaccessible to researchers and clinicians. Connectomics has great potential for elucidating abnormal connectivity in congenital brain malformations, especially axonal pathfinding disorders. Agenesis of the corpus callosum (AgCC) is one of the most common brain malformations and can also be considered a prototypical genetic disorder of axonal guidance in humans. In this exploratory study, the structural connectome of AgCC is mapped and compared to that of the normal human brain. Multiple levels of granularity of the AgCC connectome are investigated, including summary network metrics, modularity analysis, and network consistency measures, with comparison to the normal structural connectome after simulated removal of all callosal connections (“virtual callostomy”). These investigations reveal four major findings. First, global connectivity is abnormally reduced in AgCC, but local connectivity is increased. Second, the network topology of AgCC is more variable than that of the normal human connectome, contradicting the predictions of the virtual callosotomy model. Third, modularity analysis reveals that many of the tracts that comprise the structural core of the cerebral cortex have relatively weak connectivity in AgCC, especially the cingulate bundles bilaterally. Finally, virtual lesions of the Probst bundles in the AgCC connectome demonstrate that there is consistency across subjects in many of the connections generated by these ectopic white matter tracts, and that they are a mixture of cortical and subcortical fibers. These results go beyond prior diffusion tractography studies to provide a systems-level perspective on anomalous connectivity in AgCC. Furthermore, this work offers a proof of principle for the utility of the connectome framework in neurodevelopmental disorders.
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