Edge density imaging: mapping the anatomic embedding of the structural connectome within the white matter of the human brain.
Edge density imaging: mapping the anatomic embedding of the structural connectome within the white matter of the human brain.
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DOI：
10.1016/j.neuroimage.2015.01.007
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发表时间：
2015-04-01
期刊：
影响因子：
5.7
通讯作者：
Mukherjee P
中科院分区：
文献类型：
--
作者：
Owen JP;Chang YS;Mukherjee P
结构连接体已经成为表征人脑网络结构的强大工具，并显示出巨大的潜力来产生重要的新的神经学和精神障碍的生物标志物。脑图的边缘横穿白质以连接皮质和皮质下的结节，尽管这些边缘的解剖嵌入在文献中通常被忽视。绘制连接体边缘的路径图可以阐明单个白质束对大脑整体网络拓扑的相对重要性，也可以更好地理解特定区域的白质病理对认知和行为的影响。在这项工作中，我们引入了边缘密度成像(EDI)，它映射了穿过每个白质体素的网络边缘的数量。测试-再测试分析表明，边缘密度(ED)测量的可靠性良好到极好，使用不同的皮质和皮质下分割方案和不同的扩散磁共振成像采集参数，结果一致。我们还证明，ED产生了脑白质微结构和连通性的传统和新兴体素测量的补充信息，包括分数各向异性、径迹密度、纤维取向弥散和轴突密度。我们的结果表明，ED在整个白质中的空间有序变化，特别是包括大脑白质后部比前部的更大的ED。EDI框架被用来绘制白质区域，这些区域被连接丰富的俱乐部节点的路径以及那些具有高密度的模块内和模块间边缘的路径所丰富。我们发现脑室周围白质具有特别高的ED和高密度的丰富的杆状边缘，这对于这些区域受到选择性影响的疾病是重要的，从婴儿的早产儿白质损伤到老年人的脑白质疏松。利用边缘中间中心性，我们识别了大量最短路径中涉及的特定白质区域，其中一些包含高度连接的丰富棒状边缘，而另一些则相对孤立于单个模块内。总体而言，这些发现揭示了白质解剖和结构连接体之间的复杂关系，促使EDI进一步探索认知和行为的生物标记物。
The structural connectome has emerged as a powerful tool to characterize the network architecture of the human brain and shows great potential for generating important new biomarkers for neurologic and psychiatric disorders. The edges of the cerebral graph traverse white matter to interconnect cortical and subcortical nodes, although the anatomic embedding of these edges is generally overlooked in the literature. Mapping the paths of the connectome edges could elucidate the relative importance of individual white matter tracts to the overall network topology of the brain and also lead to a better understanding of the effect of regionally-specific white matter pathology on cognition and behavior. In this work, we introduce edge density imaging (EDI), which maps the number of network edges that pass through every white matter voxel. Test-retest analysis shows good to excellent reliability for edge density (ED) measurements, with consistent results using different cortical and subcortical parcellation schemes and different diffusion MR imaging acquisition parameters. We also demonstrate that ED yields complementary information to both traditional and emerging voxel-wise metrics of white matter microstructure and connectivity, including fractional anisotropy, track density, fiber orientation dispersion and neurite density. Our results demonstrate spatially ordered variations of ED throughout the white matter, notably including greater ED in posterior than anterior cerebral white matter. The EDI framework is employed to map the white matter regions that are enriched with pathways connecting rich club nodes and also those with high densities of intra-modular and inter-modular edges. We show that periventricular white matter has particularly high ED and high densities of rich club edges, which is significant for diseases in which these areas are selectively affected, ranging from white matter injury of prematurity in infants to leukoaraiosis in the elderly. Using edge betweenness centrality, we identify specific white matter regions involved in a large number of shortest paths, some containing highly connected rich club edges while others are relatively isolated within individual modules. Overall, these findings reveal an intricate relationship between white matter anatomy and the structural connectome, motivating further exploration of EDI for biomarkers of cognition and behavior.
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影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
3.7
作者：
Hagmann, Patric;Kurant, Maciej;Gigandet, Xavier;Thiran, Patrick;Wedeen, Van J.;Meuli, Reto;Thiran, Jean-Philippe
通讯作者：
Thiran, Jean-Philippe
影响因子：
3.7
作者：
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通讯作者：
Backes, Walter H.
DOI：
10.1098/rstb.2013.0527
发表时间：
2014-10-05
影响因子：
6.3
作者：
de Reus, Marcel A.;Saenger, Victor M.;van den Heuvel, Martijn P.
通讯作者：
van den Heuvel, Martijn P.
DOI：
10.1093/brain/awu132
发表时间：
2014-08
期刊：
Brain : a journal of neurology
影响因子：
--
作者：
Crossley NA;Mechelli A;Scott J;Carletti F;Fox PT;McGuire P;Bullmore ET
通讯作者：
Bullmore ET