Ising-like dynamics in large-scale functional brain networks.
Ising-like dynamics in large-scale functional brain networks.
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DOI：
10.1103/physreve.79.061922
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发表时间：
2009-06
期刊：
影响因子：
--
通讯作者：
Chialvo DR
中科院分区：
文献类型：
--
作者：
Fraiman D;Balenzuela P;Foss J;Chialvo DR
大脑的“休息”被定义为没有明确的大脑输入或输出的状态--或多或少是不成功的。本工作的重点是这样的状态是否可以与任何已知的动力学状态。为此，从人脑功能性磁共振成像（fMRI）的相关网络与相关网络提取的伊辛模型在2D中的数值模拟，在不同的温度。对于临界温度Tc，在最相关的统计特性中出现了惊人的相似性，使得两个网络彼此无法区分。这些结果在这里被解释为借贷支持的猜想，功能的大脑的动力学是接近临界点。
Brain “rest” is defined -more or less unsuccessfully- as the state in which there is no explicit brain input or output. This work focuss on the question of whether such state can be comparable to any known dynamical state. For that purpose, correlation networks from human brain Functional Magnetic Resonance Imaging (fMRI) are constrasted with correlation networks extracted from numerical simulations of the Ising model in 2D, at different temperatures. For the critical temperature Tc, striking similarities appear in the most relevant statistical properties, making the two networks indistinguishable from each other. These results are interpreted here as lending support to the conjecture that the dynamics of the functioning brain is near a critical point.