A Dynamical Clustering Model of Brain Connectivity Inspired by the N -Body Problem.
A Dynamical Clustering Model of Brain Connectivity Inspired by the N -Body Problem.
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受 N 体问题启发的大脑连接动态聚类模型。
DOI：
10.1007/978-3-319-02126-3_13
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Thompson,PaulM
中科院分区：
文献类型：
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作者：
Prasad,Gautam;Burkart,Josh;Joshi,ShantanuH;Nir,TaliaM;Toga,ArthurW;Thompson,PaulM
我们提出了一种通过模拟网络节点的动态演变来研究大脑连接性的方法。节点被视为粒子，并在一个模拟的力类似于著名的N体问题的重力加速度下进化。粒子节点对应于皮质的区域。粒子的位置被定义为皮质上各个区域的中心，并且它们的质量与每个区域的体积成比例。吸引力是建立在重力的基础上的，并且明确地与从扩散成像数据导出的连接矩阵的元素成比例。我们目前的实验结果的模拟人口的110名受试者从阿尔茨海默氏病神经影像学倡议（ADNI），包括健康的老年人对照组，早期轻度认知障碍（eMCI），晚期MCI（LMCI），和阿尔茨海默氏病（AD）患者。结果显示，在健康对照组的连接网络的动态特性的显着差异，相比eMCI以及AD患者。
We present a method for studying brain connectivity by simulating a dynamical evolution of the nodes of the network. The nodes are treated as particles, and evolved under a simulated force analogous to gravitational acceleration in the well-knownN-body problem. The particle nodes correspond to regions of the cortex. The locations of particles are defined as the centers of the respective regions on the cortex and their masses are proportional to each region’s volume. The force of attraction is modeled on the gravitational force, and explicitly made proportional to the elements of a connectivity matrix derived from diffusion imaging data. We present experimental results of the simulation on a population of 110 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), consisting of healthy elderly controls, early mild cognitively impaired (eMCI), late MCI (LMCI), and Alzheimer’s disease (AD) patients. Results show significant differences in the dynamic properties of connectivity networks in healthy controls, compared to eMCI as well as AD patients.