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Resting-state functional MR imaging shed insights into the brain of diabetes

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Abstract

Diabetes mellitus is a common metabolic disease which is associated with increasing risk for multiple cognitive declines. Alterations in brain functional connectivity are believed to be the mechanisms underlying the cognitive function impairments. During the past decade, resting-state functional magnetic resonance imaging (rs-fMRI) has been developed as a major tool to study brain functional connectivity in vivo. This paper briefly reviews the diabetes-associated cognitive impairment, analysis algorithms and clinical applications of rs-fMRI. We also provide future perspectives of rs-fMRI in diabetes.

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Abbreviations

DM:

Diabetes mellitus

DMN:

Default mode network

fMRI:

Functional magnetic resonance imaging

ICA:

Independent component analysis

IPL:

Inferior parietal lobe

MFG:

Middle frontal gyrus

PCC:

Posterior cingulate cortex

ReHo:

Regional homogeneity

ROI:

Region of interest

rs-fMRI:

Resting state functional magnetic resonance imaging

T1DM:

Type 1 diabetes mellitus

T2DM:

Type 2 diabetes mellitus

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  1. Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, Jiangsu Province, 210002, China

    Yun Fei Wang, Xue Man Ji, Guang Ming Lu & Long Jiang Zhang

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  1. Yun Fei Wang
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Wang, Y.F., Ji, X.M., Lu, G.M. et al. Resting-state functional MR imaging shed insights into the brain of diabetes. Metab Brain Dis 31, 993–1002 (2016). https://doi.org/10.1007/s11011-016-9872-4

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