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Clinical Article
A study of functional brain networks in patients with mild cognitive impairment based on graph theory
HE Wenjuan  XIE Qi  WANG Yajie  TAN Zhilin  LIAO Yanhui 

Cite this article as: He WJ, Xie Q, Wang YJ, et al. A study of functional brain networks in patients with mild cognitive impairment based on graph theory[J]. Chin J Magn Reson Imaging, 2022, 13(5): 1-5. DOI:10.12015/issn.1674-8034.2022.05.001.

[Abstract] Objective To investigate the changes and application values of functional brain network topological properties in patients with mild cognitive impairment (MCI).Materials and Methods A sample of 28 MCI patients and 15 normal controls (NC) was included. After the resting-state functional magnetic resonance imaging (rs-fMRI) data of all subjects were collected, using the Graph Theoretical Network Analysis (GRETNA) to do data preprocessing and construct the functional network, and then graph theory was utilized to calculate the network topological properties. Then, differences between the two groups were compared based on independent-samples t-test, with Bonrerroni corrections for multiple comparisons.Results Compared with the NC group, the clustering coefficient (Cp) and local efficiency (Eloc) of the MCI group decreased, and the visual and auditory functional areas suffered the biggest drop, and the differences were statistically significant (P<0.05); the shortest path length (Lp) of the MCI group was shortened (P>0.05), and the global efficiency (Eglob) increased (P>0.05), but the differences were not statistically significant.Conclusions Compared with the NC group, the Cp and Eloc decreased significantly in the MCI patients, and the visual and auditory functional areas suffered the biggest drop, which may become potential biomarkers for accurate diagnosis of MCI.
[Keywords] mild cognitive impairment;resting-state functional magnetic resonance imaging;global efficiency;clustering coefficient;the shortest path length;local efficiency

HE Wenjuan   XIE Qi*   WANG Yajie   TAN Zhilin   LIAO Yanhui  

Medical Imaging Department of Nansha, Guangzhou First People's Hospital (School of Medicine, South China University of Technology), Guangzhou 510180, China

Xie Q, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS Guangzhou Science and Technology Plan Project (No. 201907010020).
Received  2021-11-03
Accepted  2022-04-29
DOI: 10.12015/issn.1674-8034.2022.05.001
Cite this article as: He WJ, Xie Q, Wang YJ, et al. A study of functional brain networks in patients with mild cognitive impairment based on graph theory[J]. Chin J Magn Reson Imaging, 2022, 13(5): 1-5. DOI:10.12015/issn.1674-8034.2022.05.001.

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