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• Clinical Article •
Analysis of dynamic brain function network connectivity in type 2 diabetes patients based on group independent component analysis
ZHANG Ge  ZHANG Yanwei  LIU Taiyuan  WANG Han  WEI Wei  WANG Meiyun 

Cite this article as: ZHANG G, ZHANG Y W, LIU T Y, et al. Analysis of dynamic brain function network connectivity in type 2 diabetes patients based on group independent component analysis[J]. Chin J Magn Reson Imaging, 2024, 15(7): 46-50, 69. DOI:10.12015/issn.1674-8034.2024.07.008.


[Abstract] Objective To explore the changes of spontaneous neural activity in type 2 diabetes mellitus (T2DM) patients without cognitive impairment based on dynamic functional network connectivity (dFNC) analysis.Materials and Methods Thirty-nine T2DM patients without cognitive impairment and 39 age, sex and education matched healthy controls were included in this study. Both groups underwent resting-state functional magnetic resonance imaging (rs-fMRI) scan in a 3.0 T MRI scanner. After being preprocessed, the functional images were further managed using GIFT package to perform dFNC analyzing and statistical comparisons. Correlations between measurements of dFNC and clinical characteristics were also investigated.Results T2DM patients had significantly higher mean dewell time (P=0.014) and fraction time (P=0.039) in state5, and significantly higher functional connectivity between the primary visual network and the salient network (P=0.027), and significantly lower functional connections in the visuospatial network and the basal ganglia network (all P=0.044). However, the aforementioned dynamic brain function indicators show no significant correlation with clinical indicators such as fasting blood glucose levels (all P>0.05).Conclusions There were abnormal changes in dFNC patterns and connectivity of vision-related networks in T2DM patients without cognitive impairment, which might provide more information to help understand neuropathological mechanism in diabetic brains.
[Keywords] type 2 diabetes mellitus；cognitive impairment；resting-state functional magnetic resonance imaging；magnetic resonance imaging；independent component analysis；dynamic brain network connectivity

ZHANG Ge1, 2   ZHANG Yanwei2   LIU Taiyuan1   WANG Han2   WEI Wei1   WANG Meiyun1*  

1 Department of Radiology, Henan Provincial People's Hospital, Zhengzhou 450003, China

2 Department of Radiology Diagnosis, Bethune International Peace Hospital (980th hospital of Joint Logistic Support Force), Shijiazhuang 050051, China

Corresponding author: WANG M Y, E-mail: mywang@zzu.edu.cn

Conflicts of interest   None.

Received  2023-12-18
Accepted  2024-07-11
DOI: 10.12015/issn.1674-8034.2024.07.008
Cite this article as: ZHANG G, ZHANG Y W, LIU T Y, et al. Analysis of dynamic brain function network connectivity in type 2 diabetes patients based on group independent component analysis[J]. Chin J Magn Reson Imaging, 2024, 15(7): 46-50, 69. DOI:10.12015/issn.1674-8034.2024.07.008.

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