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Clinical Article
Spontaneous brain activity alterations in T2DM patients with mild cognitive impairment: a resting-state fMRI study
LIU Dai-hong  DUAN Shan-shan  ZHANG Jiu-quan  ZHANG Yan-wei  WEI Ping  WANG Jian 

DOI:10.3969/j.issn.1674-8034.2015.03.001.


[Abstract] Objective: To investigate the patterns of spontaneous brain activity alterations in type 2 diabetes mellitus (T2DM) with mild cognitive impairment (MCI) by analyzing the regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF).Materials and Methods: T2DM with MCI (D-MCI, n=21) and age-, sex-, and education-matched healthy control subjects (HC, n=25) were included in this study. T2WI, FLAIR, 3D-T1WI and resting-state fMRI data were collected by Siemens 3.0 T Trio MR scanner. ReHo and fALFF values were calculated respectively for intra-group and inter-group t-tests. Then correlation analysis were conducted between clinical data and ReHo/fALFF values extracted from significantly different brain regions.Results: Compared to healthy control subjects, D-MCI patients showed significantly increased ReHo values in most of the right superior frontal gyrus and partial left cerebelum areas, and decreased ReHo values in bilateral medial orbital part of superior frontal gyrus, right middle frontal gyrus, right inferior temporal gyrus, left middle occipital gyrus and right lingual gyrus. D-MCI patients also had increased fALFF values in left inferior temporal gyrus and bilateral anterior cingulate gyrus, and decreased fALFF values in right lingual gyrus. Moreover, inverse correlations were found between HbA1c and fALFF values of anterior cingulate gyrus (r=-0.482, P=0.027), MoCA scores and fALFF values of left inferior temporal gyrus (r=-0.547, P =0.010) in D-MCI group.Conclusions: D-MCI patients developed aberrant functional activities among brain regions associated with cognitive control network and visual processing. It may partially interpret the neural substrates in the progress of MCI for T2DM patients.
[Keywords] Type 2 diabetes mellitus;Mild cognitive impairment;Resting-state functional MRI;Regional homogeneity;Amplitude of low-frequency fluctuations

LIU Dai-hong Department of Radiology, the First Affiliated Hospital of Third Military Medical University, Chongqing 400038, China

DUAN Shan-shan Department of Endocrinology, the First Affiliated Hospital of Third Military Medical University, Chongqing 400038, China

ZHANG Jiu-quan Department of Radiology, the First Affiliated Hospital of Third Military Medical University, Chongqing 400038, China

ZHANG Yan-wei Department of Radiology, the First Affiliated Hospital of Third Military Medical University, Chongqing 400038, China

WEI Ping* Department of Endocrinology, the First Affiliated Hospital of Third Military Medical University, Chongqing 400038, China

WANG Jian* Department of Radiology, the First Affiliated Hospital of Third Military Medical University, Chongqing 400038, China

*Correspondence to: Wang J, E-mail: wangjian811@gmail.com. Wei P, E-mail: wp301 @sina.com

Conflicts of interest   None.

Received  2014-10-22
Accepted  2014-12-12
DOI: 10.3969/j.issn.1674-8034.2015.03.001
DOI:10.3969/j.issn.1674-8034.2015.03.001.

[1]
Biessels GJ, Strachan MW, Visseren FL, et al. Dementia and cognitive decline in type 2 diabetes and prediabetic stages: towards targeted interventions. Lancet Diabetes Endocrinol, 2014, 2(3): 246-255.
[2]
Cui Y, Jiao Y, Chen YC, et al. Altered spontaneous brain activity in type 2 diabetes: a resting-state functional MRI study. Diabetes, 2014, 63(2): 749-760.
[3]
Xia W, Wang S, Sun Z, et al. Altered baseline brain activity in type 2 diabetes: a resting-state fMRI study. Psychoneuroendocrinology, 2013, 38(11): 2493-2501.
[4]
Chen YC, Jiao Y, Cui Y, et al. Aberrant brain functional connectivity related to insulin resistance in type 2 diabetes: a resting-state fMRI study. Diabetes Care, 2014, 37(6): 1689-1696.
[5]
Zhang J, Wang Y, Wang J, et al. White matter integrity disruptions associated with cognitive impairments in type 2 diabetic patients. Diabetes, 2014, 63(11): 3596-3605.
[6]
Zhang Y, Zhang X, Zhang J, et al. Gray matter volume abnormalities in type 2 diabetes mellitus with and without mild cognitive impairment. Neurosci Lett, 2014, 562: 1-6.
[7]
Tong J, Geng H, Zhang Z, et al. Brain metabolite alterations demonstrated by proton magnetic resonance spectroscopy in diabetic patients with retinopathy. Magn Reson Imaging, 2014, 32(8): 1037-1042.
[8]
张若成,李春艳,杨兵,等.创伤后应激障碍的记忆损害与脑结构MRI特点探讨.磁共振成像, 2013, 4(6): 416-419.
[9]
薛蕴菁,周作福,苏宇征,等.轻度血管性认知障碍患者计算能力的功能MRI研究.磁共振成像, 2012, 3(6): 424-429.
[10]
An L, Cao QJ, Sui MQ, et al. Local synchronization and amplitude of the fluctuation of spontaneous brain activity in attention-deficit/hyperactivity disorder: a resting-state fMRI study. Neurosci Bull, 2013, 29(5): 603-613.
[11]
Li W, Qin W, Liu H, et al. Subregions of the human superior frontal gyrus and their connections. Neuroimage, 2013, 78: 46-58.
[12]
Nomura EM, Gratton C, Visser RM, et al. Double dissociation of two cognitive control networks in patients with focal brain lesions. Proc Natl Acad Sci U S A, 2010, 107(26): 12017-12022.
[13]
Balsters JH, Whelan CD, Robertson IH, et al. Cerebellum and cognition: evidence for the encoding of higher order rules. Cereb Cortex, 2013, 23(6): 1433-1443.
[14]
Anurova I, Renier LA, De Volder AG, et al. Relationship between cortical thickness and functional activation in the early blind. Cereb Cortex, 2014. DOI: [ DOI: 10.1093/cercor/bhu009]
[15]
Jefferies E. The neural basis of semantic cognition: converging evidence from neuropsychology, neuroimaging and TMS. Cortex, 2013, 49(3): 611-625.
[16]
Garcia-Casares N, Berthier ML, Jorge RE, et al. Structural and functional brain changes in middle-aged type 2 diabetic patients: a cross-sectional study. J Alzheimers Dis, 2014, 40(2): 375-386.
[17]
Kravitz E, Schmeidler J, Schnaider Beeri M. Type 2 diabetes and cognitive compromise: potential roles of diabetes-related therapies. Endocrinol Metab Clin North Am, 2013, 42(3): 489-501.
[18]
Alagiakrishnan K, Sankaralingam S, Ghosh M, et al. Antidiabetic drugs and their potential role in treating mild cognitive impairment and Alzheimer’s disease. Discov Med, 2013, 16(90): 277-286.
[19]
Dardano A, Penno G, Del Prato S, et al. Optimal therapy of type 2 diabetes: a controversial challenge. Aging (Albany NY), 2014, 6(3): 187-206.

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