White matter tract covariance patterns predict age-declining cognitive abilities.
White matter tract covariance patterns predict age-declining cognitive abilities.
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DOI：
10.1016/j.neuroimage.2015.10.016
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发表时间：
2016-01-15
期刊：
影响因子：
5.7
通讯作者：
Habeck C
中科院分区：
文献类型：
--
作者：
Gazes Y;Bowman FD;Razlighi QR;O'Shea D;Stern Y;Habeck C
以前的研究调查的关系，白色物质（WM）的完整性，认知能力和老化，并集中在一个全球性的措施或一些选定的WM束。理想情况下，所有WM束的贡献应同时进行评估。然而，高共线性之间的WM道排除系统检查WM道同时不牺牲统计功率，由于严格的多重比较校正。多变量协方差技术，使全面的同时检查所有WM束，而不会受到惩罚的观测之间的高共线性。在这项研究中，尺度子剖面模型（SSM）被应用到18个主要的WM束的平均完整性，以提取协方差模式，最佳预测四个认知能力（感知速度，情景记忆，流体推理和词汇）在346名年龄在20至79岁的参与者。使用协方差模式的表达，白色物质完整性对认知的年龄无关效应和WM完整性对认知的年龄相关差异的间接效应被分别检验，但间接分析的推论是谨慎的，因为在分析中使用的是横截面数据集。一个单独的协方差模式，显着预测每个认知能力后，控制年龄，除了词汇，但年龄WM协方差模式的相互作用是不显着的三种能力。此外，每种模式都介导了年龄对各自认知能力的影响。一组不同的WM束是最有影响力的三种模式。工作记忆协方差模式占流体推理显示最多的有影响力的工作记忆道，而情景记忆模式显示的数量最少。工作记忆束的特定模式对知觉速度、情景记忆和流体推理的年龄相关差异有显著贡献，但对词汇量没有影响。需要探索大脑健康的其他措施，以揭示对词汇能力的主要影响。
Previous studies investigating the relationship of white matter (WM) integrity to cognitive abilities and aging and have either focused on a global measure or a few selected WM tracts. Ideally, contribution from all of the WM tracts should be evaluated at the same time. However, the high collinearity among WM tracts precludes systematic examination of WM tracts simultaneously without sacrificing statistical power due to stringent multiple-comparison corrections. Multivariate covariance techniques enable comprehensive simultaneous examination of all WM tracts without being penalized for high collinearity among observations. In this study, Scaled Subprofile Modeling (SSM) was applied to the mean integrity of 18 major WM tracts to extract covariance patterns that optimally predicted four cognitive abilities (perceptual speed, episodic memory, fluid reasoning, and vocabulary) in 346 participants across ages 20 to 79 years old. Using expression of the covariance patterns, age-independent effects of white matter integrity on cognition and the indirect effect of WM integrity on age-related differences in cognition were tested separately, but inferences from the indirect analyses were cautiously made given cross-sectional data set was used in the analysis. A separate covariance pattern was identified that significantly predicted each cognitive ability after controlling for age except for vocabulary, but Age by WM covariance pattern interactions were not significant for any of the three abilities. Furthermore, each of the patterns mediated the effect of age on the respective cognitive ability. A distinct set of WM tracts was most influential in each of the three patterns. The WM covariance pattern accounting for fluid reasoning showed the most number of influential WM tracts whereas the episodic memory pattern showed the least number. Specific patterns of WM tracts make significant contributions to the age-related differences in perceptual speed, episodic memory, and fluid reasoning but not vocabulary. Other measures of brain health will need to be explored to reveal the major influences on the vocabulary ability.