Differences of inter-tract correlations between neonates and children around puberty: a study based on microstructural measurements with DTI.

Differences of inter-tract correlations between neonates and children around puberty: a study based on microstructural measurements with DTI.
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新生儿与青春期儿童间束间相关性的差异:基于 DTI 微观结构测量的研究

DOI:
10.3389/fnhum.2013.00721
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发表时间:
2013
影响因子:
2.9
通讯作者:
Huang H
Huang H
中科院分区:
医学3区
文献类型:
--
作者:
Mishra V;Cheng H;Gong G;He Y;Dong Q;Huang H

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人类大脑的发育是一个复杂而有序的过程。扩散张量成像(DTI)的各向异性分数(FA)、径向(RD)、轴向(AxD)和平均扩散率(MD)等参数已被用于无创性地观察人脑白色物质(WM)的微结构发育。在出生时,大多数主要的WM束是明显的,但在一个相对混乱的模式。大脑成熟是建立这些主要WM束的组织模式的过程。然而,在发育过程中,主要WM束的连锁模式如何变化仍不清楚。本文收集了26例新生儿和28例青春期前后儿童的DTI资料。10个主要的WM束,代表四个主要的束组参与不同的脑功能,跟踪与DTI纤维束成像的所有54名受试者。通过使用斯皮尔曼的成对束间相关性构建的10 × 10相关矩阵,并基于两个年龄组的FA、RD、AxD和MD的束水平测量,我们评估了从出生到青春期束间相关性是否变得更强。此外,分层聚类的基础上进行的WM束的成对相关性,以揭示每个年龄组的聚类模式和模式的转变,从出生到青春期。从出生到青春期的发育过程中,发现了更强和增强的微结构间的相关性。由于大脑发育的不同,两个年龄组的联系模式也不同。从出生到青春期,这些微结构相关性的变化表明不均匀但有组织的髓鞘形成过程,导致重新洗牌的束间相关模式,使同源束紧密聚集。它打开了一个新的窗口,研究WM束的发展,并可能用于调查由于神经或精神疾病的非典型脑发育。
The human brain development is a complicated yet well-organized process. Metrics derived from diffusion tensor imaging (DTI), including fractional anisotropy (FA), radial (RD), axial (AxD), and mean diffusivity (MD), have been used to noninvasively access the microstructural development of human brain white matter (WM). At birth, most of the major WM tracts are apparent but in a relatively disorganized pattern. Brain maturation is a process of establishing an organized pattern of these major WM tracts. However, how the linkage pattern of major WM tracts changes during development remains unclear. In this study, DTI data of 26 neonates and 28 children around puberty were acquired. 10 major WM tracts, representing four major tract groups involved in distinctive brain functions, were traced with DTI tractography for all 54 subjects. With the 10 by 10 correlation matrices constructed with Spearman's pairwise inter-tract correlations and based on tract-level measurements of FA, RD, AxD, and MD of both age groups, we assessed if the inter-tract correlations become stronger from birth to puberty. In addition, hierarchical clustering was performed based on the pairwise correlations of WM tracts to reveal the clustering pattern for each age group and pattern shift from birth to puberty. Stronger and enhanced microstructural inter-tract correlations were found during development from birth to puberty. The linkage patterns of two age groups differ due to brain development. These changes of microstructural correlations from birth to puberty suggest inhomogeneous but organized myelination processes which cause the reshuffled inter-tract correlation pattern and make homologous tracts tightly clustered. It opens a new window to study WM tract development and can be potentially used to investigate atypical brain development due to neurological or psychiatric disorders.
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