The correlation between white-matter microstructure and the complexity of spontaneous brain activity: A difussion tensor imaging-MEG study
The correlation between white-matter microstructure and the complexity of spontaneous brain activity: A difussion tensor imaging-MEG study
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DOI：
10.1016/j.neuroimage.2011.05.079
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发表时间：
2011-08-15
期刊：
影响因子：
5.7
通讯作者：
Ortiz, Tomas
中科院分区：
文献类型：
--
作者：
Fernandez, Alberto;Rios-Lago, Marcos;Ortiz, Tomas
新的信号处理方法（例如非线性分析技术）的出现代表了一种新的视角，为大脑信号分析增加了进一步的价值。特别是，Lempel-Ziv 的复杂性 (LZC) 已被证明对于探索大脑电磁活动的复杂性非常有用。然而，一个重要的问题是缺乏对这些措施的生理决定因素的了解。尽管已经提出了复杂性和连接性之间的相关性，但这一假设从未在体内得到检验。因此，需要检查解剖连接的微观结构与大脑功能复杂性之间的相关性。在这项研究中，我们分析了 LZC 和分数各向异性 (FA) 之间的相关性，FA 是源自扩散张量的标量，对于评估有髓轴突纤维的功能完整性特别有用，该组由 16 名健康成年人组成（均为女性，平均年龄 65.56 +/- 6.06 岁，间隔 58-82）。我们的结果显示，在胼胝体压部、扣带回、海马旁区和矢状层等区域，FA 和 LZC 评分呈正相关。这项研究支持了大脑的功能复杂性与其解剖连接的微观结构之间呈正相关的概念。我们的研究证明，神经解剖学和神经生理学技术的结合可以为大脑振荡的潜在生理决定因素提供一些线索。 (C) 2011 Elsevier Inc. 保留所有权利。
The advent of new signal processing methods, such as non-linear analysis techniques, represents a new perspective which adds further value to brain signals' analysis. Particularly, Lempel-Ziv's Complexity (LZC) has proven to be useful in exploring the complexity of the brain electromagnetic activity. However, an important problem is the lack of knowledge about the physiological determinants of these measures. Although a correlation between complexity and connectivity has been proposed, this hypothesis was never tested in vivo. Thus, the correlation between the microstructure of the anatomic connectivity and the functional complexity of the brain needs to be inspected. In this study we analyzed the correlation between LZC and fractional anisotropy (FA), a scalar quantity derived from diffusion tensors that is particularly useful as an estimate of the functional integrity of myelinated axonal fibers, in a group of sixteen healthy adults (all female, mean age 65.56 +/- 6.06 years, intervals 58-82). Our results showed a positive correlation between FA and LZC scores in regions including clusters in the splenium of the corpus callosum, cingulum, parahipocampal regions and the sagittal stratum. This study supports the notion of a positive correlation between the functional complexity of the brain and the microstructure of its anatomical connectivity. Our investigation proved that a combination of neuroanatomical and neurophysiological techniques may shed some light on the underlying physiological determinants of brain's oscillations. (C) 2011 Elsevier Inc. All rights reserved.