Selectively disrupted functional connectivity networks in type 2 diabetes mellitus

Yaojing Chen, Zhen Liu, Junying Zhang, Guihua Tian, Linzi Li, Sisi Zhang, Xin Li, Kewei Chen, Zhanjun Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

Background: The high prevalence of type 2 diabetes mellitus (T2DM) in individuals over 65 years old and cognitive deficits caused by T2DM have attracted broad attention. The pathophysiological mechanism of T2DM-induced cognitive impairments, however, remains poorly understood. Previous studies have suggested that the cognitive impairments can be attributed not only to local functional and structural abnormalities but also to specific brain networks. Thus, our aim is to investigate the changes of global networks selectively affected by T2DM. Methods: A resting state functional network analysis was conducted to investigate the intrinsic functional connectivity in 37 patients with diabetes and 40 healthy controls who were recruited from local communities in Beijing, China. Results: We found that patients with T2DM exhibited cognitive function declines and functional connectivity disruptions within the default mode network, left frontal parietal network, and sensorimotor network. More importantly, the fasting glucose level was correlated with abnormal functional connectivity. Conclusion: These findings could help to understand the neural mechanisms of cognitive impairments in T2DM and provide potential neuroimaging biomarkers that may be used for early diagnosis and intervention in cognitive decline.

Original languageEnglish
Article number233
JournalFrontiers in Aging Neuroscience
Volume7
Issue numberDEC
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Alzheimer's disease
  • Functional connectivity
  • Functional magnetic resonance imaging
  • Resting state network
  • Type 2 diabetes mellitus

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