Networks of anatomical covariance
Networks of anatomical covariance
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DOI：
10.1016/j.neuroimage.2013.05.054
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发表时间：
2013-10-15
期刊：
影响因子：
5.7
通讯作者：
Evans, Alan C.
中科院分区：
文献类型：
--
作者：
Evans, Alan C.
功能成像或扩散加权成像技术被广泛用于在系统水平上了解大脑的连通性及其与正常神经发育、认知或大脑疾病的关系。也有可能从来自解剖MRI的形态指标的协方差中提取关于大脑连通性的信息。这些协方差模式可能来自对正常发育和衰老的遗传影响，来自相互营养强化，以及与经验相关的可塑性。这篇综述描述了基本的方法学策略，观察到的协方差的生物学基础，以及在正常脑和脑疾病中的应用，最后回顾了该技术的未来前景。(C)2013 Elsevier Inc.保留所有权利。
Functional imaging or diffusion-weighted imaging techniques are widely used to understand brain connectivity at the systems level and its relation to normal neurodevelopment, cognition or brain disorders. It is also possible to extract information about brain connectivity from the covariance of morphological metrics derived from anatomical MRI. These covariance patterns may arise from genetic influences on normal development and aging, from mutual trophic reinforcement as well as from experience-related plasticity. This review describes the basic methodological strategies, the biological basis of the observed covariance as well as applications in normal brain and brain disease before a final review of future prospects for the technique. (C) 2013 Elsevier Inc. All rights reserved.