Modular architecture of metabolic brain network and its effects on the spread of perturbation impact

Publication date: Available online 5 November 2018

Source: NeuroImage

Author(s): Tianhao Zhang, Qi Huang, Chunxiang Jiao, Hua Liu, Binbin Nie, Shengxiang Liang, Panlong Li, Xi Sun, Ting Feng, Lin Xu, Baoci Shan

Abstract

Metabolic brain network, which is based on functional correlation patterns of ¹⁸F-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.

Methods

77 rats performed ¹⁸F-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.

Results

A 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.

Conclusion

Our 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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