2型糖尿病抑郁患者自发脑活动静息态功能磁共振特点

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Abstract Objective To investigate the spontaneous brain activity in patients of diabetes complicated with depressive state using resting-state fMRI.Methods Twenty-nine cases were screened by PHQ-9 as diabetic patients complicated with depressive state (DM-D),while another 25 patients with diabetes mellitus(DM)alone who matched the DMD patients in gender, age, and education were selected as the control group. All the subjects were examined by resting-state fMRI. Fractional amplitude of low-frequency fluctuation (fALFF)was used to compare the changes of spontaneous abnormal brain activity in both groups.Results Compared with the DM group, DM-D group displayed decreased fALFF values in right cerebellum posterior crus2, the right temporal superior, right inferior gyrus, right angular gyrus, right frontal superior,middle, inferior gyrus, right limbic Lobe, right anterior cingulate, right parietal supramarginal gyrus, left parietal precuneus, and in left angular gyrus. However, in the left putamen, left occipital calcarine, left middle occipital gyrus, and left parietal postcentral gyrus, fALFF values were increased. Bivariate correlation analyses indicated that the decreased fALFF values and PHQ-9 self-rating scale scores were negatively correlated in DM-D group.Conclusions This resting-state fMRI study suggests that diabetic patients with depression have more than one abnormal brain activity, which helps to understand the pathophysiological mechanism of diabetic patients with depression.

Key words： type 2 diabetes depressive state resting-state fMRI fractional amplitude of low-frequency fluctuation

Received: 10 December 2016

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	Articles by authors
	WANG Xue
	WU Jinxiao
	JIAO Xiumin
	WANG Ye
	ZHOU Yuling
	ZHANG Xingguan
	and LV Xiaofeng

Cite this article:

WANG Xue,WU Jinxiao,JIAO Xiumin等. Resting-state functional magnetic resonance imaging for patients with type 2 diabetes complicated with depressive state[J]. Med. J. Chin. Peop. Armed Poli. Forc., 2017, 28(6): 595-599.

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http://journal08.magtechjournal.com/Jwk_wjyx/EN/ OR http://journal08.magtechjournal.com/Jwk_wjyx/EN/Y2017/V28/I6/595

[1]	Meier S M, Mattheisen M, Mors O, et al. Increased mortality among people with anxiety disorders: total population study [J]. Br J Psychiatry, 2016, 209(3): 216-221.
[2]	Gafvels C, Hagerstrom M, Rane K, et al. Depression and anxiety after 2 years of follow-up in patients diagnosed with diabetes or rheumatoid arthritis [J]. Health Psychol Open, 2016, 3(2):1-12.
[3]	Tully P J, Harrison N J, Cheung P, et al. Anxiety and cardiovascular disease risk: a review [J]. Curr Cardiol Rep, 2016, 18(12): 120.
[4]	Liu Z, Zhang L, Shi S, et al. Objectively assessed exercise behavior in Chinese patients with early-stage cancer: a predictor of perceived benefits, communication with doctors, medical coping modes, depression and quality of life [J]. PloS One, 2017, 12(1): 1-9.
[5]	Limampai P, Wongsrithep W, Kuptniratsaikul V. Depression after stroke at 12-month follow-up: a multicenter study [J]. Int J Neurosci, 2017, 20(1): 1-6.
[6]	Abu-Shakra M. Quality of life, coping and depression in systemic lupus erythematosus [J]. Isr Med Assoc J, 2016, 18(3-4): 144-145.
[7]	Bener A, Saleh N M, Bhugra D. Depressive symptoms and bone mineral density in menopause and postmenopausal women: a still increasing and neglected problem [J]. J Family Med Prim Care, 2016, 5(1): 143-149.
[8]	Mezuk B, Eaton W W, Albrecht S, et al. Depression and type 2 diabetes over the lifespan: a meta-analysis [J]. Diabetes Care, 2008, 31(12): 2383-2390.
[9]	Robinson D J, Luthra M, Vallis M. Diabetes and mental health [J]. Can J Diabetes, 2013, 37( Suppl 1): S87-92.
[10]	Kroenke K, Spitzer R L, Williams J B. The PHQ-9: validity of a brief depression severity measure [J]. J Gen Intern Med, 2001, 16(9): 606-613.
[11]	Zou Q H, Zhu C Z, Yang Y, et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF [J]. J Neurosci Methods, 2008, 172(1): 137-141.
[12]	Camus V, Kraehenbühl H, Preisig M, et al. Geriatric depression and vascular diseases: what are the links? [J]. J Affect Disord, 2004, 81(1): 1-16.
[13]	Peng J, Qu H, Peng J, et al. Abnormal spontaneous brain activity in type 2 diabetes with and without microangiopathy revealed by regional homogeneity [J]. Eur J Radiol, 2016, 85(3): 607-615.
[14]	Dutta A, McKie S, Deakin J F. Resting state networks in major depressive disorder [J]. Psychiatry Res, 2014, 224(3): 139-151.
[15]	Marchand W R, Lee J N, Suchy Y, et al. Aberrant functional connectivity of cortico-basal ganglia circuits in major depression [J]. Neurosci Lett, 2012, 514(1): 86-90.
[16]	Tekin S, Cummings J L. Frontal-subcortical neuronal circuits and clinical neuropsychiatry: an update [J]. J Psychosom Res, 2002, 53(2): 647-654.
[17]	Wu H, Sun H, Xu J, et al. Changed hub and corresponding functional connectivity of subgenual anterior cingulate cortex in major depressive disorder [J]. Front Neuroanat, 2016, 10(120): 1-7.
[18]	Cui Y, Jiao Y, Chen Y C, et al. Altered spontaneous brain activity in type 2 diabetes: a resting-state functional MRI study [J]. Diabetes, 2014, 63(2): 749-760.