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• Clinical Article •
A study on rs-fMRI dynamic functional network connectivity in patients with type 2 diabetic
MEI Leilei  YANG Hongkai  ZHANG Manman  SHEN Xinru  XU Qi  HE Yongsheng 

Cite this article as: MEI L L, YANG H K, ZHANG M M, et al. A study on rs-fMRI dynamic functional network connectivity in patients with type 2 diabetic[J]. Chin J Magn Reson Imaging, 2024, 15(1): 82-87. DOI:10.12015/issn.1674-8034.2024.01.013.


[Abstract] Objective To investigate the temporal properties of brain functional connectivity in patients with type 2 diabetes mellitus (T2DM) and the correlation between dynamic functional connectivity and clinical parameters by using dynamic functional network connectivity (dFNC) analysis.Materials and Methods The clinical and imaging data of 31 patients with T2DM were prospectively collected, and the diabetes-related biochemical indicators and neuropsychological test scores were recorded. At the same time, 32 healthy controls (HC) matched with age, gender and education level were recruited. Four functional connectivity states and three dFNC indexes (mean dwell time, fraction time, number of transitions) were obtained by using sliding time window technology. Two independent samples t-test was used to calculate the differences of FNC matrix and dFNC indexes between groups in different states. Spearman correlation analysis was used to calculate the correlation between dFNC indexes and clinical data in T2DM group.Results In state 1 weak connection, compared with HC group, T2DM group had longer mean dwell time (t=2.086, P<0.05). In state 3 local strong connection, compared with HC group, T2DM group had shorter mean dwell time (t=-2.250, P<0.05) and smaller fraction time (t=-2.582, P<0.05) ; the functional connectivity between default mode network (DMN) and visual network (VIS) was decreased (t=-4.875, P<0.05, FDR corrected). The duration of T2DM was positively correlated with the mean dwell time of state 1 weak connection (r=0.42, P<0.05), while other diabetes-related biochemical indexes and cognitive function scores were not correlated with dFNC indexes (P>0.05).Conclusions The dFNC analysis can capture more potential information about the changes of brain network connectivity in T2DM patients, and reveal the complex temporal characteristics and activity patterns of brain networks, which is expected to provide a new perspective for the neurobiological mechanisms of T2DM related cognitive impairment.
[Keywords] type 2 diabetes mellitus；cognitive impairment；magnetic resonance imaging；functional magnetic resonance imaging；dynamic functional network connectivity

MEI Leilei1   YANG Hongkai1   ZHANG Manman1   SHEN Xinru2   XU Qi1   HE Yongsheng1*  

1 Department of Radiology, Maanshan People's Hospital, Maanshan 24300, China

2 Department of Endocrinology, Maanshan People's Hospital, Maanshan 24300, China

Corresponding author: HE Y S, E-mail: heyongsheng881@163.com

Conflicts of interest   None.

Received  2023-07-22
Accepted  2024-01-04
DOI: 10.12015/issn.1674-8034.2024.01.013
Cite this article as: MEI L L, YANG H K, ZHANG M M, et al. A study on rs-fMRI dynamic functional network connectivity in patients with type 2 diabetic[J]. Chin J Magn Reson Imaging, 2024, 15(1): 82-87. DOI:10.12015/issn.1674-8034.2024.01.013.

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