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Original Article
Analysis of local efficiency and node local efficiency changes in patients with type 2 diabetes based on graph theory
DU Wei  LIU Yangyingqiu  JIANG Jian  LI Wanyao  JIANG Yuhan  MIAO Yanwei  WANG Weiwei 

Cite this article as: Du W, Liu YYQ, Jiang J, et al. Analysis of local efficiency and node local efficiency changes in patients with type 2 diabetes based on graph theory[J]. Chin J Magn Reson Imaging, 2022, 13(5): 70-76. DOI:10.12015/issn.1674-8034.2022.05.013.


[Abstract] Objective To investigate the small-world properties change of functional networks in patients with type 2 diabetes mellitus (T2DM) based on resting-state functional magnetic resonance imaging (rs-fMRI) and graph theory analysis.Materials and Methods Blood oxygenation level dependent rs-fMRI was performed on 29 patients with clinically confirmed T2DM (T2DM group) and 20 age, gender, years of education matched healthy controls (HC) group. The parameters of the small-world networks, including σ, λ, γ, the path length (Lp), clustering coefficient (Cp), global efficiency, local efficiency (Eloc) and nodal local efficiency were obtained from all subjects. The differences of all small-world networks parameters, clinical data, cognitive scale scores were compared between the two groups. The correlation between small-world networks parameters, clinical data, cognitive scale scores were also performed.Results In the sparsity range of 0.05~0.50, both two groups showed economic small world network. Compared with the HC group, the Eloc AUC value of T2DM group was significantly lower than HC group in the sparsity range of 0.05 to 0.50. The T2DM group exhibited decreased Eloc value at 0.30, 0.34, 0.36, 0.40 sparsity threshold (P<0.05). And T2DM group presented significant decreases of integrated nodal efficiency in the right opercular part of inferior frontal gyrus, olfactory cortex, supramarginal gyrus, and left middle temporal gyrus, and increases in the left orbital part of superior and middle frontal gyrus, the right medial orbital of superior frontal gyrus, and the left cuneus (Bonferroni corrected,P<0.05). In addition, Lp AUC values in T2DM group were positively correlated with SDMT scores (r=0.38, P=0.04); σ AUC values (r=-0.45, P=0.02), γ AUC values (r=-0.40, P=0.03) was negatively correlated with SDMT score; λ AUC value was positively correlated with SDMT score (r=0.45, P=0.01), and positively correlated with MoCA score (r=0.45, P=0.02). In addition, Cp AUC values were positively correlated with homocysteicacid (r=0.39, P=0.04) and positively correlated with hemoglobin (r=0.46, P=0.01).Conclusions The brain networks of both the T2DM group and the HC group showed economic small-world network property. The local information transmission efficiency of brain networks in T2DM patients is reduced and correlated with cognitive function, homocysteine and hemoglobin. In addition, the local efficiency of multiple brain regions in patients with T2DM is abnormal, indicating abnormal cognitive and emotional function activities, which provides a new perspective for the study of diabetic encephalopathy, and provides clues for further exploration of the mechanism of brain network changes in T2DM.
[Keywords] type 2 diabetes mellitus;functional magnetic resonance imaging;small world brain network;graph theory analysis;network efficiency

DU Wei   LIU Yangyingqiu   JIANG Jian   LI Wanyao   JIANG Yuhan   MIAO Yanwei   WANG Weiwei*  

Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

Wang WW, E-mail: weiwei0815@163.com

Conflicts of interest   None.

Received  2021-12-21
Accepted  2022-04-07
DOI: 10.12015/issn.1674-8034.2022.05.013
Cite this article as: Du W, Liu YYQ, Jiang J, et al. Analysis of local efficiency and node local efficiency changes in patients with type 2 diabetes based on graph theory[J]. Chin J Magn Reson Imaging, 2022, 13(5): 70-76.DOI:10.12015/issn.1674-8034.2022.05.013

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