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健康受试者上肢运动控制相关的白质结构:探索扩散峰度成像的附加价值。

White matter organization in relation to upper limb motor control in healthy subjects: exploring the added value of diffusion kurtosis imaging.

作者信息

Gooijers J, Leemans A, Van Cauter S, Sunaert S, Swinnen S P, Caeyenberghs K

机构信息

Motor Control and Neuroplasticity Research Group, Department of Kinesiology, Group Biomedical Sciences, KU Leuven, Tervuursevest 101, Bus 1501, 3001, Heverlee, Belgium,

出版信息

Brain Struct Funct. 2014 Sep;219(5):1627-38. doi: 10.1007/s00429-013-0590-y. Epub 2013 Jun 13.

Abstract

Diffusion tensor imaging (DTI) characterizes white matter (WM) microstructure. In many brain regions, however, the assumption that the diffusion probability distribution is Gaussian may be invalid, even at low b values. Recently, diffusion kurtosis imaging (DKI) was suggested to more accurately estimate this distribution. We explored the added value of DKI in studying the relation between WM microstructure and upper limb coordination in healthy controls (N = 24). Performance on a complex bimanual tracking task was studied with respect to the conventional DTI measures (DKI or DTI derived) and kurtosis metrics of WM tracts/regions carrying efferent (motor) output from the brain, corpus callosum (CC) substructures and whole brain WM. For both estimation models, motor performance was associated with fractional anisotropy (FA) of the CC-genu, CC-body, the anterior limb of the internal capsule, and whole brain WM (r s range 0.42-0.63). Although DKI revealed higher mean, radial and axial diffusivity and lower FA than DTI (p < 0.001), the correlation coefficients were comparable. Finally, better motor performance was associated with increased mean and radial kurtosis and kurtosis anisotropy (r s range 0.43-0.55). In conclusion, DKI provided additional information, but did not show increased sensitivity to detect relations between WM microstructure and bimanual performance in healthy controls.

摘要

扩散张量成像(DTI)可表征白质(WM)微观结构。然而,在许多脑区,即使在低b值情况下,扩散概率分布为高斯分布这一假设也可能无效。最近,有人提出用扩散峰度成像(DKI)来更准确地估计这种分布。我们探讨了DKI在研究健康对照者(N = 24)白质微观结构与上肢协调性之间关系方面的附加价值。针对传统DTI测量指标(DKI或源自DTI的指标)以及携带大脑传出(运动)输出的白质束/区域、胼胝体(CC)亚结构和全脑白质的峰度指标,研究了复杂双手跟踪任务的表现。对于这两种估计模型,运动表现均与胼胝体膝部、胼胝体体部、内囊前肢和全脑白质的分数各向异性(FA)相关(rs范围为0.42 - 0.63)。尽管DKI显示出比DTI更高的平均扩散率、径向扩散率和轴向扩散率以及更低的FA(p < 0.001),但相关系数相当。最后,更好的运动表现与平均峰度、径向峰度和峰度各向异性增加相关(rs范围为0.43 - 0.55)。总之,DKI提供了额外信息,但在检测健康对照者白质微观结构与双手表现之间的关系时,并未显示出更高的敏感性。

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