Relationship Between Basic Properties of BOLD Fluctuations and Calculated Metrics of Complexity in the Human Connectome Project.
Relationship Between Basic Properties of BOLD Fluctuations and Calculated Metrics of Complexity in the Human Connectome Project.
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DOI：
10.3389/fnins.2020.550923
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发表时间：
2020
影响因子：
4.3
通讯作者：
Guo Y
中科院分区：
文献类型：
--
作者：
Keilholz S;Maltbie E;Zhang X;Yousefi B;Pan WJ;Xu N;Nezafati M;LaGrow TJ;Guo Y
静息状态功能磁共振成像(RS-fMRI)创建了一个丰富的四维数据集，可以用各种方式进行分析。随着越来越多的研究人员将大脑视为一个复杂的动态系统，越来越多的工具被从其他领域提取出来，以表征大脑活动的复杂性。然而，由于rS-fMRI测量的信号来自对神经活动的血流动力学响应，与与图像质量相关的信号属性相比，复杂性度量反映神经复杂性的程度仍然未知。为了深入了解这个问题，我们计算了同一受试者不同rs-fmri扫描的关联维、近似熵和李雅普诺夫指数，以检验它们的可靠性。然后将复杂程度的度量与来自每个大脑区域的RS-fMRI信号的几个属性进行比较，以确定基本信号特征是否可以解释复杂性度量的差异。不同脑区复杂性的差异是高度可靠的，并且与rs-fmri信号的频率分布的差异密切相关。复杂性和频率度量的空间分布表明，它们都受到位置相关信号属性的影响，这些属性可能会掩盖与神经活动相关的变化。
Resting state functional MRI (rs-fMRI) creates a rich four-dimensional data set that can be analyzed in a variety of ways. As more researchers come to view the brain as a complex dynamical system, tools are increasingly being drawn from other fields to characterize the complexity of the brain’s activity. However, given that the signal measured with rs-fMRI arises from the hemodynamic response to neural activity, the extent to which complexity metrics reflect neural complexity as compared to signal properties related to image quality remains unknown. To provide some insight into this question, correlation dimension, approximate entropy and Lyapunov exponent were calculated for different rs-fMRI scans from the same subject to examine their reliability. The metrics of complexity were then compared to several properties of the rs-fMRI signal from each brain area to determine if basic signal features could explain differences in the complexity metrics. Differences in complexity across brain areas were highly reliable and were closely linked to differences in the frequency profiles of the rs-fMRI signal. The spatial distributions of the complexity and frequency metrics suggest that they are both influenced by location-dependent signal properties that can obscure changes related to neural activity.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
4.3
作者：
Billings, Jacob C. W.;Thompson, Garth J.;Keilholz, Shella
通讯作者：
Keilholz, Shella
影响因子：
3.7
作者：
Bajaj S;Adhikari BM;Dhamala M
通讯作者：
Dhamala M
影响因子：
4.6
作者：
Li, Kaicheng;Luo, Xiao;Zhang, Minming
通讯作者：
Zhang, Minming
DOI：
10.1073/pnas.0905267106
发表时间：
2009-08-04
影响因子：
11.1
作者：
Smith, Stephen M.;Fox, Peter T.;Beckmann, Christian F.
通讯作者：
Beckmann, Christian F.