Share：
Share this content in WeChat
X
[Chinese][PDF]73198
• Clinical Article •
The functional connectivity of hypothalamus in T2DM patients: a resting-state fMRI study
DENG Ling-ling  LIU Jun  LIU Huang-hui  LIU Hua-sheng  CHEN Juan  LIU Wen  RONG Peng-fei  WANG Wei 

DOI:10.12015/issn.1674-8034.2016.04.006.


[Abstract] Objective: To investigate whether functional connection between hypothalamus and other brain regions is impaired in type 2 diabetes mellitus (T2DM), the resting-state MRI was utilized to analyze the connectivity between hypothalamus and other brain regions.Materials and Methods: This study included the T2DM patients who were diagnosed within 1-5years (T2DM, n=59), and age, sex, education-matched healthy control subjects(HC, n=49). T2WI, FLAIR, 3D-T1WI and resting-state fMRI data were collected by Siemens MR scanner. Functional connection values between bilateral hypothalamus and other voxels in the brain were calculated, the resulted values of both groups were compared using two-sample t-test to locate the regions with significant change. Then correlation analysis was conducted between clinical data and functional connection values extracted from significantly different brain regions.Results: Compared to healthy control subjects, T2DM patients showed significantly decreased functional connection values between left hypothalamus, right hypothalamus and right brainstem, left dorsolateral prefrontal cortex, orbitofrontal cortex, left Inferior parietal lobule, right middle occipital gyrus. In T2DM patients, functional connection values between left hypothalamus and inferior temporal gyrus, left precuneus, left fusiform also decreased significantly, however, the functional connection values in left insula increased; the functional connection values between right hypothalamus and left lingual gyrus, right precentral gyrus/postcentral gyrus decreased. Moreover, negative correlations were found between HbA1c and functional connection values between left hypothalamus and left dorsol ateral prefrontal cortex (r=-0.24, P=0.04) in T2DM patients group.Conclusion: The functional connection between hypothalamus and other brain regions is impaired in T2DM patients. Moreover, this study indicated that the change of functional connection values between left dorsolateral prefrontal cortex and left hypothalamus was significantly associated with diabetes mellitus severity. Resting-state MRI can reflect the severity of T2DM.
[Keywords] Type 2 diabetes mellitus；Hypothalamus；Resting-state MRI；Functional connectivity

DENG Ling-ling Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

LIU Jun Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

LIU Huang-hui Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

LIU Hua-sheng Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

CHEN Juan Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

LIU Wen Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

RONG Peng-fei Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

WANG Wei* Department of Radiology, the Third Xiangya Hospital of Central South University, Changsha 410013, China

*Correspondence to: Wang W, E-mail: cjr.wangwei@vip.163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of project of National Key Clinical Specialty No. 2013-544 National Natural Science Foundation of China No. 81471715
Received  2016-01-14
Accepted  2016-03-02
DOI: 10.12015/issn.1674-8034.2016.04.006
DOI:10.12015/issn.1674-8034.2016.04.006.

[1]
Luquet S, Magnan C. The central nervous system at the core of the regulation of energy homeostasis. Front Biosci (Schol Ed), 2009, 1(1): 448-465.
[2]
Schwartz MW, Seeley RJ, Tschöp MH, et al. Cooperation between brain and islet in glucose homeostasis and diabetes. Nature, 2013, 503(7474): 59-66.
[3]
Vidarsdottir S, Smeets PAM, Eichelsheim DL, et al. Glucose ingestion fails to inhibit hypothalamic neuronal activity in patients with type 2 diabetes. Diabetes, 2007, 56(10): 2547-2550.
[4]
Kievit P, Howard JK, Badman MK, et al. Enhanced leptin sensitivity and improved glucose homeostasis in mice lacking suppressor of cytokine signaling-3 in POMC-expressing cells. Cell metabolism, 2006, 4(2): 123-132.
[5]
Levin BE, Kang L, Sanders NM, et al. Role of neuronal glucosensing in the regulation of energy homeostasis. Diabetes, 2006, 55(Suppl2): 122-130.
[6]
Lam CKL, Chari M, Lam TKT. CNS regulation of glucose homeostasis. Physiology, 2009, 24(3): 159-170.
[7]
谢生辉, 牛广明, 高阳, 等.首发抑郁症脑局部一致性静息态MRI对比研究. 磁共振成像, 2015, 6(1): 10-14.
[8]
Van MP, Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. European Neuropsychopharmacology, 2010, 20(8): 519-534.
[9]
房俊芳, 王倩, 王滨, 等. 功能MRI揭示抑郁症脑结构及功能变化的应用及展望. 磁共振成像, 2015, 6(1): 52-57.
[10]
Zhou H, Lu W, Shi Y, et al. Impairments in cognition and resting-state connectivity of the hippocampus in elderly subjects with type 2 diabetes. Neuroscience letters, 2010, 473(1): 5-10.
[11]
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.
[12]
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.
[13]
Friston KJ, Williams S, Howard R, et al. Movement-related effects in fMRI time-series. Magnetic resonance in medicine, 1996, 35(3): 346-355.
[14]
Lips MA, Wijngaarden MA, van der Grond J, et al. Resting-state functional connectivity of brain regions involved in cognitive control,motivation,and reward is enhanced in obese females. The American journal of clinical nutrition, 2014, 100(2): 524-531.
[15]
Parton LE, Ye CP, Coppari R, et al. Glucose sensing by POMC neurons regulates glucose homeostasis and is impaired in obesity. Nature, 2007, 449(7159): 228-232.
[16]
Thaler JP, Yi CX, Schur EA, et al. Obesity is associated with hypothalamic injury in rodents and humans. The Journal of clinical investigation, 2012, 122(1): 153.
[17]
Suzuki K, Jayasena CN, Bloom SR. Obesity and appetite control. Experimental diabetes research, 2012, 2012(3): 824.
[18]
Kullmann S, Heni M, Linder K, et al. Resting-state functional connectivity of the human hypothalamus. Human brain mapping, 2014, 35(12): 6088-6096.
[19]
Broberger C, Hökfelt T. Hypothalamic and vagal neuropeptide circuitries regulating food intake. Physiology & behavior, 2001, 74(4): 669-682.
[20]
Geerling JC, Shin JW, Chimenti PC, et al. Paraventricular hypothalamic nucleus: axonal projections to the brainstem. Journal of Comparative Neurology, 2010, 518(9): 1460-1499.
[21]
Musen G, Simonson DC, Bolo NR, et al. Regional brain activation during hypoglycemia in type 1 diabetes. The Journal of Clinical Endocrinology & Metabolism, 2008, 93(4): 1450-1457.
[22]
Woods SC. The control of food intake: behavioral versus molecular perspectives. Cell metabolism, 2009, 9(6): 489-498.
[23]
Blouet C, Schwartz GJ. Hypothalamic nutrient sensing in the control of energy homeostasis. Behavioural brain research, 2010, 209(1): 1-12.
[24]
Jauch-Chara K, Binkofski F, Loebig M, et al. Blunted brain energy consumption relates to insula atrophy and impaired glucose tolerance in obesity. Diabetes, 2015, 64(6): 2082-2091.
[25]
Bolo NR, Musen G, Simonson DC, et al. Functional connectivity of insula,basal ganglia,and prefrontal executive control networks during hypoglycemia in type 1 diabetes. The Journal of Neuroscience, 2015, 35(31): 11012-11023.
[26]
Simmons WK, Rapuano KM, Kallman SJ, et al. Category-specific integration of homeostatic signals in caudal but not rostral human insula. Nature neuroscience, 2013, 16(11): 1551-1552.
[27]
Naqvi NH, Bechara A. The insula and drug addiction: an interoceptive view of pleasure,urges,and decision-making. Brain Structure and Function, 2010, 214(5-6): 435-450.
[28]
Wang GJ, Volkow ND, Telang F, et al. Exposure to appetitive food stimuli markedly activates the human brain. Neuroimage, 2004, 21(4): 1790-1797.
[29]
St-Onge MP, Sy M, Heymsfield SB, et al. Human cortical specialization for food: a functional magnetic resonance imaging investigation. The Journal of nutrition, 2005, 135(5): 1014-1018.
[30]
Kumar A, Haroon E, Darwin C, et al. Gray matter prefrontal changes in type 2 diabetes detected using MRI. Journal of Magnetic Resonance Imaging, 2008, 27(1): 14-19.
[31]
Killgore WDS, Yurgelun-Todd DA. Body mass predicts orbitofrontal activity during visual presentations of high-calorie foods. Neuroreport, 2005, 16(8): 859-863.
[32]
Marder TJ, Flores VL, Bolo NR, et al. Task-induced brain activity patterns in type 2 diabetes: a potential biomarker for cognitive decline. Diabetes, 2014, 63(9): 3112-3119.
[33]
Le DS, Pannacciulli N, Chen K, et al. Less activation of the left dorsolateral prefrontal cortex in response to a meal: a feature of obesity. The American journal of clinical nutrition, 2006, 84(4): 725-731.
[34]
Scharmüller W, Übel S, Ebner F, et al. Appetite regulation during food cue exposure: a comparison of normal-weight and obese women. Neuroscience letters, 2012, 518(2): 106-110.
[35]
Davids S, Lauffer H, Thoms K, et al. Increased dorsolateral prefrontal cortex activation in obese children during observation of food stimuli. International Journal of Obesity, 2010, 34(1): 94-104.

PREV The value of “swallow tail” appearance of nigrosome on ESWAN at 3.0 T MR in the diagnosis of Parkinson’s disease
NEXT The discrimination between brain metastases from lung cancer and high-grade glioma with proton MR spectroscopy and its value for survival predictorsand
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn