Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.
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DOI：
10.1016/j.neuroimage.2011.07.006
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发表时间：
2011-10-15
期刊：
影响因子：
5.7
通讯作者：
Lin, Weili
中科院分区：
文献类型：
--
作者：
Chen, Yasheng;An, Hongyu;Zhu, Hongtu;Jewells, Valerie;Armao, Diane;Shen, Dinggang;Gilmore, John H.;Lin, Weili
尽管弥散张量成像（DTI）为早期大脑发育提供了大量的见解，但大多数基于分数各向异性（FA）和平均扩散率（MD）的DTI研究可能无法利用来自三个主要扩散率（例如特征值）的信息。在这项研究中，我们探讨了空间和时间的演变白色物质结构在早期大脑发育过程中使用两个几何扩散措施，即线性（Cl）和平面（Cp）扩散各向异性，从71个纵向数据集从29个健康，足月儿科受试者。生长轨迹估计广义估计方程（GEE）使用线性拟合对数的年龄（天）。在新生儿中观察到Cl和Cp中的白色结构的存在，表明在各个白色区域中的圆柱形和扇形或交叉结构可能在出生时已经形成。此外，我们发现，CI和Cp的演变在时间上的非线性和空间不均匀的方式。中央白色物质中Cl的生长速度显著高于周边或更外侧的白色物质：中央生长速度Cl = 0.0465±0.0273/log（天），周边生长速度Cl=0.0198±0.0127/log（天），p<10−6。相比之下，中央白色物质中Cp的生长速度显著低于周围白色物质：中央生长速度Cp= 0.0014±0.0058/log（天），而周围生长速度Cp = 0.0289±0.0101/log（天），p<10−6。根据分析的基本白色物质的网站，我们的研究结果表明，正在进行的生理和微结构的变化，在发育中的大脑可能会产生不同的影响，这两个几何扩散措施的时间演变。因此，未来的研究利用DTI与相关的组织学分析在研究早期脑发育是必要的。
Although diffusion tensor imaging (DTI) has provided substantial insights into early brain development, most DTI studies based on fractional anisotropy (FA) and mean diffusivity (MD) may not capitalize on the information derived from the three principal diffusivities (e.g. eigenvalues). In this study, we explored the spatial and temporal evolution of white matter structures during early brain development using two geometrical diffusion measures, namely, linear (Cl) and planar (Cp) diffusion anisotropies, from 71 longitudinal datasets acquired from 29 healthy, full-term pediatric subjects. The growth trajectories were estimated with generalized estimating equations (GEE) using linear fitting with logarithm of age (days). The presence of the white matter structures in Cl and Cp was observed in neonates, suggesting that both the cylindrical and fanning or crossing structures in various white matter regions may already have been formed at birth. Moreover, we found that both Cl and Cp evolved in a temporally nonlinear and spatially inhomogeneous manner. The growth velocities of Cl in central white matter were significantly higher when compared to peripheral, or more laterally located, white matter: central growth velocity Cl = 0.0465±0.0273/log(days), versus peripheral growth velocity Cl=0.0198±0.0127/log(days), p<10−6. In contrast, the growth velocities of Cp in central white matter were significantly lower than that in peripheral white matter: central growth velocity Cp= 0.0014±0.0058/log(days), versus peripheral growth velocity Cp = 0.0289±0.0101/log(days), p<10−6. Depending on the underlying white matter site which is analyzed, our findings suggest that ongoing physiologic and microstructural changes in the developing brain may exert different effects on the temporal evolution of these two geometrical diffusion measures. Thus, future studies utilizing DTI with correlative histological analysis in the study of early brain development are warranted.
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