FOLLOWUS
- Share with wechat friends or circle of friends
16例新发2型糖尿病患者脑部皮层厚度异常变化的MRI初步研究
- Affiliations：
1. 1Department of Radiology, Chinese PLA General Hospital, Beijing 100853, China
2. 2Department of Radiology, Hainan Branch of Chinese PLA General Hospital, Sanya, Hainan 572013, China
3. 3Department of Radiology, The Fifth People's Hospital, Shizuishan, Ningxia 753000, China
4. 4Department of Endocrinology, Hainan Branch of Chinese PLA General Hospital, Sanya, Hainan 572013, China
- Author bio：
*Corresponding author Tel: 86-10-66939592, E-mail: cjr.malin@vip.163.com.
- Funds：△Supported by the Foundation for Medical and Health Sci & Tech innovation Project of Sanya (2016YW37) and the Special Financial Grant from China Postdoctoral Science Foundation (2014T70960).
DOI：10.24920/J1001-9294.2017.010
中图分类号：收稿日期：2016-09-09，
网络出版日期：2017-06-20，
纸质出版日期：2017-06
- Accepted：
Scan QR Code
陈志晔, 臧秀娟, 刘梦琦, 等. 16例新发2型糖尿病患者脑部皮层厚度异常变化的MRI初步研究[J]. 中国医学科学杂志（英文版）, 2017,32(2):75-82.
Chen Zhiye, Zang Xiujuan, Liu Mengqi, et al. Abnormal Alterations of Cortical Thickness in 16 Patients with Type 2 Diabetes Mellitus: A Pilot MRI Study△[J]. Chinese medical sciences journal, 2017, 32(2): 75-82.
陈志晔, 臧秀娟, 刘梦琦, 等. 16例新发2型糖尿病患者脑部皮层厚度异常变化的MRI初步研究[J]. 中国医学科学杂志（英文版）, 2017,32(2):75-82. DOI： 10.24920/J1001-9294.2017.010.
Chen Zhiye, Zang Xiujuan, Liu Mengqi, et al. Abnormal Alterations of Cortical Thickness in 16 Patients with Type 2 Diabetes Mellitus: A Pilot MRI Study△[J]. Chinese medical sciences journal, 2017, 32(2): 75-82. DOI： 10.24920/J1001-9294.2017.010.
摘要
目的
采用基于磁共振成像的全脑皮层厚度分析方法研究2型糖尿病患者脑部皮层厚度的异常变化。
方法
对16名新发2型糖尿病患者及16名健康志愿者行高分辨三维T1快速毁损梯度回波成像。基于Freesurfer软件（4.3.0版）计算全脑皮层厚度图
并采用基于脑回的感兴趣区法计算各个脑区的皮层厚度。以年龄和性别作为协变量进行协方差分析比较各个脑区的平均皮层厚度。采用基于表面的皮层厚度分析法在全脑水平比较皮层厚度的局部差异。
结果
2型糖尿病患者双侧大脑皮层厚度（左侧：2.52±0.07 mm;右侧：2.51±0.08 mm）较对照组（左侧：2.56±0.09 mm;右侧：2.56±0.09 mm）变薄（P
<
0.05）。2型糖尿病患者较正常对照组局部脑回变薄的脑区主要位于旁中央叶、中央后回、枕外侧回、舌回、楔前回、颞上回、颞中回、颞下回及后扣带回。左侧中扣带回及右侧颞下回皮层厚度与2型糖尿病病程呈负相关。
结论
新发2型糖尿病患者可发生脑部广泛皮层变薄。本研究结果证实了2型糖尿病可导致脑部微小结构发生改变。
Abstract
Objective
The aim of this study is to investigate the cerebral cortical thickness changes in type 2 diabetes mellitus (T2DM) using a whole brain cortical thickness mapping system based on brain magnetic resonance imaging (MRI).
Methods
High resolution three-dimensional T1-weighted fast spoiled gradient recalled echo MR images were obtained from 16 patients with T2DM
as well as from 16 normal controls. The whole brain cortical thickness maps were generated
and the cortical thickness of each brain region was calculated according to gyral based regions of interest (ROI) using an automated labeling system by the Freesurfer software. We compared mean cortical thickness at each brain region by the analysis of covariance with age and sex as covariates. The regional difference of the cortical thickness over the whole brain was compared by the analysis of surface-based cortical thickness.
Results
Mean cortical thicknesses analysis showed bilateral cerebrum in the patients with T2DM (left: 2.52±0.07 mm; right: 2.51±0.08 mm) were significant thinner than those in the normal controls (left: 2.56±0.09 mm; right: 2.56±0.09 mm) (both
P
<
0.05). Regional cortical thinning in T2DM was demonstrated in the paracentral lobule
postcentral gyrus
lateral occipital gyrus
lingual gyrus
precuneus
superior temporal gyrus
middle temporal gyrus
inferior temporal gyrus and posterior cingulate gyrus
compared to the normal controls. The cortical thickness of left middle cingulate and right inferior temporal gyrus were negatively correlated with the disease course.
Conclusion
A widespread cortical thinning was revealed in patients with T2DM by the analysis of brain cortical thickness on MR. Our finding supports the idea that T2DM could lead to subtle diabetic brain structural changes.
关键词
Keywords
references
Brands AM , Biessels GJ, de Haan EH , et al . The effects of type 1 diabetes on cognitive performance: a meta- analysis. Diabetes Care 2005 ; 28 : 726 - 35 . doi: 10.2337/ diacare.28.3.726 10.2337/ diacare.28.3.726 .
Cukierman T , Gerstein HC , Williamson JD. Cognitive decline and dementia in diabetes-systematic overview of prospective observational studies. Diabetologia 2005 ; 48 : 2460 - 9 . doi: 10.1007/s00125-005-0023-4 10.1007/s00125-005-0023-4 .
Allen KV , Frier BM , Strachan MW. The relationship between type 2 diabetes and cognitive dysfunction: longitudinal studies and their methodological limitations. Eur J Pharmacol 2004 ; 490 : 169 - 75 . doi: 10.1016/j.ejphar. 2004.02.054 10.1016/j.ejphar. 2004.02.054 .
Scheltens P , Pasquier F , Weerts JG , et al. Qualitative assessment of cerebral atrophy on MRI: inter and intra- observer reproducibility in dementia and normal aging. Eur Neurol 1997 ; 37 : 95 - 9 . DOI: 10.1159/000117417 10.1159/000117417 .
de Bresser J , Tiehuis AM , van den Berg E , et al . Progression of cerebral atrophy and white matter hyperintensities in patients with type 2 diabetes. Diabetes Care 2010 ; 33 : 1309 - 14 . doi: 10.2337/dc09-1923 10.2337/dc09-1923 .
Gold SM , Dziobek I , Sweat V , et al. Hippocampal damage and memory impairments as possible early brain complications of type 2 diabetes. Diabetologia 2007 ; 50 : 711 - 9 . doi: 10.1007/s00125-007-0602-7 10.1007/s00125-007-0602-7 .
Chen Z , Li L , Sun J , et al. Mapping the brain in type Ⅱ diabetes: Voxel-based morphometry using DARTEL. Eur J Radiol 2012 ; 81 : 1870 - 6 . doi: 10.1016/j.ejrad.2011. 04.025 10.1016/j.ejrad.2011. 04.025 .
Fischl B , Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci USA 2000 ; 97 : 11050 - 5 . DOI: 10.1073/pnas. 200033797 10.1073/pnas. 200033797 .
MacDonald D , Kabani N , Avis D , et al . Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. Neuroimage 2000 ; 12 : 340 - 56 . DOI: 10.1006/nimg. 1999.0534 10.1006/nimg. 1999.0534 .
Miller MI , Massie AB , Ratnanather JT , et al. Bayesian construction of geometrically based cortical thickness metrics. Neuroimage 2000 ; 12 : 676 - 87 . doi: 10.1006/ nimg.2000.0666 10.1006/ nimg.2000.0666 .
Jones SE , Buchbinder BR , Aharon I. Three-dimensional mapping of cortical thickness using Laplace's equation. Hum Brain Mapp 2000 ; 11 : 12 - 32 . doi: 10.1002/1097-0193 (200009)11:1%3C12:AID-HBM20%3E3.0.CO 10.1002/1097-0193 (200009)11:1%3C12:AID-HBM20%3E3.0.CO ;2-K.
Hutton C , De Vita E , Ashburner J , et al. Voxel-based cortical thickness measurements in MRI. Neuroimage 2008 ; 40 : 1701 - 10 . doi: 10.1016/j.neuroimage.2008.01.027 10.1016/j.neuroimage.2008.01.027 .
Lebedev AV , Westman E , Beyer MK , et al. Multivariate classification of patients with Alzheimer's and dementia with Lewy bodies using high-dimensional cortical thickness measurements: an MRI surface-based morphometric study. J Neurol 2012 ; 260 : 1104 - 15 . doi: 10.1007/ s00415- 012-6768-z 10.1007/ s00415- 012-6768-z .
Qiu A , Gan SC , Wang Y , et al. Amygdala-hippocampal shape and cortical thickness abnormalities in first-episode schizophrenia and mania. Psychol Med 2012 ; 43 : 1353 - 63 . doi: 10.1017/S0033291712002218 10.1017/S0033291712002218 .
Peng B , Chen Z , Ma L , et al. Cerebral alterations of type 2 diabetes mellitus on MRI: A pilot study. Neurosci Lett 2015 ; 606 : 100 - 5 . doi: 10.1016/j.neulet.2015.08.030 10.1016/j.neulet.2015.08.030 .
American Diabetes Association . Diagnosis and classification of diabetes mellitus . Diabetes Care 2009 ; 32 Suppl 1 : S62 - 67 . doi: 10.2337/dc09-S062 10.2337/dc09-S062 .
Manolio TA , Kronmal RA , Burke GL , et al. Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study. Stroke 1994 ; 25 : 318 - 27 . doi: 10.1161/01.STR.25.2.318 10.1161/01.STR.25.2.318 .
Galea M , Woodward M. Mini-Mental State Examination (MMSE). Aust J Physiother 2005 ; 51 : 198 . doi: 10.1016/ S0004-9514(05)70034-9 10.1016/ S0004-9514(05)70034-9 .
Chen ZY , Sun J , Yang Y , et al. Cortical thinning in type 2 diabetes mellitus and the recovering effect of insulin therapy. J Clin Neurosci ; 2015 ; 22 : 275 - 9 . doi: 10.1016/j. jocn.2014. 07.014 10.1016/j. jocn.2014. 07.014 .
Sled JG , Zijdenbos AP , Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 1998 ; 17 : 87 - 97 . doi: 10.1109/42.668698 10.1109/42.668698 .
Segonne F , Dale AM , Busa E , et al. A hybrid approach to the skull stripping problem in MRI. Neuroimage 2004 ; 22 : 1060 - 75 . doi: 10.1016/j.neuroimage.2004.03.032 10.1016/j.neuroimage.2004.03.032 .
Fischl B , Salat DH , van der Kouwe AJ , et al. Sequence- independent segmentation of magnetic resonance images . Neuroimage 2004 ; 23 Suppl 1 : S69 - 84 . doi: 10.1016/j.neuroimage.2004.07.016 10.1016/j.neuroimage.2004.07.016 .
Fischl B , Salat DH , Busa E , et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002 ; 33 : 341 - 55 . doi: 10.1016/ S0896-6273(02)00569-X 10.1016/ S0896-6273(02)00569-X .
Fischl B , Sereno MI , Dale AM. Cortical surface-based analysis. Ⅱ: Inflation, flattening, and a surface-based coordinate system. Neuroimage 1999 ; 9 : 195 - 207 . doi: 10. 1006/nimg.1998.0396 10. 1006/nimg.1998.0396 .
Fischl B , Sereno MI , Tootell RB , et al. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum Brain Mapp 1999 ; 8 : 272 - 84 . doi: 10.1002/(SICI)1097-0193(1999)8:4%3C272:AID-HBM10%3E3.0.CO 10.1002/(SICI)1097-0193(1999)8:4%3C272:AID-HBM10%3E3.0.CO ;2-4.
Desikan RS , Segonne F , Fischl B , et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006 ; 31 : 968 - 80 . doi: 10.1016/j.neuroimage. 2006.01.021 10.1016/j.neuroimage. 2006.01.021 .
Brundel M , van den Heuvel M , de Bresser J , et al . Cerebral cortical thickness in patients with type 2 diabetes. J Neurol Sci 2010 ; 299 : 126 - 30 . doi: 10.1016/j.jns.2010.08.048 10.1016/j.jns.2010.08.048 .
关联资源
相关文章
相关作者
相关机构
- © 2024 中国医学科学院 京ICP备09064830号-19
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies