Modular architecture of metabolic brain network and its effects on the spread of perturbation impact
Modular architecture of metabolic brain network and its effects on the spread of perturbation impact
复制标题
代谢脑网络的模块化结构及其对扰动影响传播的影响
DOI:
10.1016/j.neuroimage.2018.11.003
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发表时间:
2019-02
期刊:
影响因子:
5.7
通讯作者:
Shan Baoci
中科院分区:
文献类型:
--
作者:
Zhang Tianhao;Huang Qi;Jiao Chunxiang;Liu Hua;Nie Binbin;Liang Shengxiang;Li Panlong;Sun Xi;Feng Ting;Xu Lin;Shan Baoci
Metabolic brain network, which is based on functional correlation patterns of18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) images, has been widely applied in both basic and clinical neuroscience. Exploring the properties of the metabolic brain network can provide valuable insight to the physiologic and pathologic processes of the brain. Based on the network theory, modular architecture has the ability to limit the spread of local perturbation impact and therefore modular networks are more robust against external damage. However, whether the metabolic brain network has modular architecture remains unknown.Methods77 rats performed18F-FDG PET brain imaging. The metabolic brain network was then constructed by measuring interregional metabolic correlation in inter-subject manner. Afterwards, modular architecture of the network was detected by a greedy algorithm. Further, we perturbed the metabolic brain network by inducing focal photothrombotic ischemia in the bilateral motor cortex and then measured the glucose metabolic change of each brain region using FDG-PET.ResultsA significant modular architecture was found in the metabolic brain network. The network could be divided into four modules which corresponding approximately to executive, learning/memory, visual/auditory and sensorimotor processing functional domains. After inducing the focal ischemia on the bilateral motor cortex, most of the significantly changed brain regions (13 of 17) belong to the sensorimotor module.ConclusionOur results revealed an inherent modular architecture in the metabolic brain network and gave an experimental evidence that the modularity of the metabolism brain network could limit the spread of local perturbation impact.
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影响因子:
15.9
作者:
Mergenthaler P;Lindauer U;Dienel GA;Meisel A
通讯作者:
Meisel A
影响因子:
4.8
作者:
Yakushev, Igor;Drzezga, Alexander;Habeck, Christian
通讯作者:
Habeck, Christian
影响因子:
4.8
作者:
Nie, Binbin;Chen, Kewei;Zhao, Shujun;Liu, Junhua;Gu, Xiaochun;Yao, Qunli;Hui, Jiaojie;Zhang, Zhijun;Teng, Gaojun;Zhao, Chunjie;Shan, Baoci
通讯作者:
Shan, Baoci
影响因子:
19.9
作者:
Sokolov AA;Miall RC;Ivry RB
通讯作者:
Ivry RB
DOI:
10.1098/rspb.2014.2568
发表时间:
2015-03-07
期刊:
Proceedings. Biological sciences
影响因子:
--
作者:
Tosh CR;McNally L
通讯作者:
McNally L