Microstructural correlations of white matter tracts in the human brain.

Microstructural correlations of white matter tracts in the human brain.
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DOI:
10.1016/j.neuroimage.2010.02.072
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发表时间:
2010-06
期刊:
影响因子:
5.7
通讯作者:
Mukherjee, Pratik
Mukherjee, Pratik
中科院分区:
医学1区
文献类型:
--
作者:
Wahl, Michael;Li, Yi-Ou;Ng, Joshua;LaHue, Sara C.;Cooper, Shelly R.;Sherr, Elliott H.;Mukherjee, Pratik

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本研究的目的是探讨正常人脑白质束弥散张量成像(DTI)参数是否存在特定的相关模式,以及这些假定的微结构相关性的相对强度是否可能反映脑白质束之间的系统发育和功能相似。我们对44名健康的成年志愿者进行了DTI纤维定量追踪,以获得四对同源的新皮质联合通路(弓状束、下额枕束、下纵束和钩束)、一对同源的边缘关联通路(左和右背扣带束)以及一对同源的皮质-皮质下投射病理通路的平均弥散率(MD)、分数各向异性(FA)、轴向扩散率(AD)和径向扩散率(RD)的测量结果。从得到的域间相关矩阵中,我们显示出域间DTI参数在统计上显著相关,并且这些域间相关性在统计学上存在显著差异。此外,我们观察到许多(但绝不是全部)最强的相关性发生在左右半球的同源脑束之间。即使在同源的纤维束对之间,偶联的程度也有很大的差异。最后,我们基于成对FA相关性生成数据驱动的纤维通路的层次聚类,以证明在趋势水平统计意义上,新皮质联系通路倾向于与边缘通路分开分组,并且左侧和右侧皮质脊髓束的投射通路构成最远的外群(P<0.01)。因此,区系之间存在特定的微结构关联模式,可能反映了区系间的系统发育和功能相似性。研究白质通路之间的这些微观结构关系可能有助于对轴突连接的遗传基础和行为影响的研究,并为研究神经和精神疾病提供一个新的视角。
The purpose of this study is to investigate whether specific patterns of correlation exist in diffusion tensor imaging (DTI) parameters across white matter tracts in the normal human brain, and whether the relative strengths of these putative microstructural correlations might reflect phylogenetic and functional similarities between tracts. We performed quantitative DTI fiber tracking on 44 healthy adult volunteers to obtain tract-based measures of mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD) from four homologous pairs of neocortical association pathways (arcuate fasciculi, inferior fronto-occipital fasciculi, inferior longitudinal fasciculi, and uncinate fasciculi bilaterally), a homologous pair of limbic association pathways (left and right dorsal cingulum bundles), and a homologous pair of cortical-subcortical projection pathways (left and right corticospinal tracts). From the resulting inter-tract correlation matrices, we show that there are statistically significant correlations of DTI parameters between tracts, and that there are statistically significant variations among these inter-tract correlations. Furthermore, we observe that many, but by no means all, of the strongest correlations were between homologous tracts in the left and right hemispheres. Even among homologous pairs of tracts, there were wide variations in the degree of coupling. Finally, we generate a data-driven hierarchical clustering of the fiber pathways based on pairwise FA correlations to demonstrate that the neocortical association pathways tended to group separately from the limbic pathways at trend-level statistical significance, and that the projection pathways of the left and right corticospinal tracts comprise the most distant outgroup with high confidence (p<0.01). Hence, specific patterns of microstructural correlation exist between tracts and may reflect phylogenetic and functional similarities between tracts. The study of these microstructural relationships between white matter pathways might aid research on the genetic basis and on the behavioral effects of axonal connectivity, as well as provide a revealing new perspective with which to investigate neurological and psychiatric disorders.
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