Diffusion tensor imaging of cerebral white matter integrity in cognitive aging.
Diffusion tensor imaging of cerebral white matter integrity in cognitive aging.
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DOI：
10.1016/j.bbadis.2011.08.003
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发表时间：
2012-03
影响因子：
6.2
通讯作者：
Song, Allen W.
中科院分区：
文献类型：
--
作者：
Madden, David J.;Bennett, Ilana J.;Burzynska, Agnieszka;Potter, Guy G.;Chen, Nan-kuei;Song, Allen W.
在这篇文章中，我们回顾了最近的研究扩散张量成像（DTI）的白色物质（WM）的完整性和与年龄相关的认知差异的影响。从DTI分析中定义的神经生物学机制表明，与年龄相关的WM下降的主要方面是髓鞘结构完整性的下降，特别是在发育后期形成髓鞘的大脑区域。将行为测量与DTI相结合的研究表明，WM完整性支持皮层网络之间的通信，特别是涉及执行功能、感知速度和记忆的那些网络（即，流体认知）。在没有重大疾病的情况下，年龄分享了与WM完整性和流体认知之间的关系相关的方差的很大一部分。目前的数据是一致的一个模型，其中年龄相关的下降WM完整性有助于降低效率的流体认知能力的网络之间的通信。老年人有患神经认知障碍的风险，如抑郁症，进一步调节WM和认知之间的关系，其方式尚不完全清楚。DTI技术的发展为衰老WM的神经生物学机制和DTI对理解脑活动功能测量的潜在贡献提供了新的见解。
In this article we review recent research on diffusion tensor imaging (DTI) of white matter (WM) integrity and the implications for age-related differences in cognition. Neurobiological mechanisms defined from DTI analyses suggest that a primary dimension of age-related decline in WM is a decline in the structural integrity of myelin, particularly in brain regions that myelinate later developmentally. Research integrating behavioral measures with DTI indicates that WM integrity supports the communication among cortical networks, particularly those involving executive function, perceptual speed, and memory (i.e., fluid cognition). In the absence of significant disease, age shares a substantial portion of the variance associated with the relation between WM integrity and fluid cognition. Current data are consistent with one model in which age-related decline in WM integrity contributes to a decreased efficiency of communication among networks for fluid cognitive abilities. Neurocognitive disorders for which older adults are at risk, such as depression, further modulate the relation between WM and cognition, in ways that are not as yet entirely clear. Developments in DTI technology are providing new insight into both the neurobiological mechanisms of aging WM and the potential contribution of DTI to understanding functional measures of brain activity.
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影响因子：
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作者：
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通讯作者：
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