Share：
Share this content in WeChat
X
[Chinese][PDF]88193
• Clinical Article •
The relationship between brain injury and cognitive impairment in type 2 diabetes mellitus patients with cerebral small vessel disease
HUANG Mingming  YANG Liming  WEI Shasha  CAI Xi  ZHANG Miao  HE Juan  ZHENG Jing  LI Xiaobao  YU Hui 

Cite this article as: Huang MM, Yang LM, Wei SS, et al. The relationship between brain injury and cognitive impairment in type 2 diabetes mellitus patients with cerebral small vessel disease. Chin J Magn Reson Imaging, 2019, 10(11): 807-812. DOI:10.12015/issn.1674-8034.2019.11.002.


[Abstract] Objective: To investigate the relationship between brain injury and cognitive impairment in type 2 diabetes mellitus (T2DM) patients with cerebral small vessel disease (CSVD).Materials and Methods: Eighteen T2DM patients with CSVD (T2DM group) and 18 matched healthy subjects (control group) were collected and underwent 3D T1 weighted imaging (3D T1WI) and diffusion tensor imaging (DTI) scans, Mini Mental State Exam (MMSE) and Montreal Cognitive Assessment (MoCA) were also performed to evaluate their cognitive status.Results: From the morphometric analysis, compared to the control groups, significantly atrophy and thinner cortical thickness were found in temporal and occipital lobe, and thinner cortical thickness were found in left middle frontal, frontal pole and right insula in T2DM patients. Besides, the reduction of FA value was found in frontal, temporal, occipital, corpus callosum, cingulum, insula, thalamus and hippocampus, and almost the white matter in cerebral were injured, which were accompanied with the increasing of λ∥, λ⊥ and ADC values. Moreover, significantly positive correlation between MoCA scores and FA value in bilateral superior longitudinal fasciculus.Visual spatial execution ability scores and FA value in left anterior thalamic radiation; memory scores and FA value in left cingulum (hippocampus).Conclusions: DTI provides a more effective way to investigate the brain microstructure injury caused by T2DM with CSVD than commonly 3D T1. It can further help to provide early biomarkers for diagnosis of cognitive impairment in T2DM patients with CSVD.
[Keywords] diabetes mellitus；cerebrovascular disorders；cognition disorders；brain injuries

HUANG Mingming Department of Radiology, Affiliated Hospital of Guizhou Medical University , Guiyang, 550004, China

YANG Liming Department of Radiology, Affiliated Hospital of Guizhou Medical University , Guiyang, 550004, China

WEI Shasha Department of Radiology, Affiliated Hospital of Guizhou Medical University , Guiyang, 550004, China

CAI Xi Department of Radiology, Affiliated Hospital of Guizhou Medical University , Guiyang, 550004, China

ZHANG Miao Department of Endocrinology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China

HE Juan Department of Endocrinology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China

ZHENG Jing Department of Endocrinology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China

LI Xiaobao Department of Radiology, Affiliated Hospital of Guizhou Medical University , Guiyang, 550004, China

YU Hui * Department of Radiology, Affiliated Hospital of Guizhou Medical University , Guiyang, 550004, China

*Correspondence to: Yu H, E-mail: 331693861@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work is supported by grants from the Natural Science Foundation of China No. 81560281 Science and Technology Department of Guizhou Province No. LG 2012-024, LH 2014-7121 Higher Education Research Center of Guizhou Provincial No. qianjiaohe KY 2016- 012
Received  2019-06-10
DOI: 10.12015/issn.1674-8034.2019.11.002
Cite this article as: Huang MM, Yang LM, Wei SS, et al. The relationship between brain injury and cognitive impairment in type 2 diabetes mellitus patients with cerebral small vessel disease. Chin J Magn Reson Imaging, 2019, 10(11): 807-812. DOI:10.12015/issn.1674-8034.2019.11.002.

[1]
Schneider AL, Selvin E, Sharrett AR, et al. Diabetes, prediabetes, and brain volumes and subclinical cerebrovascular disease on MRI: the atherosclerosis risk in communities neurocognitive study (ARIC-NCS). Diabetes care, 2017, 40(11): 1514-1521.
[2]
Kalaria RN. Neurodegenerative disease: diabetes, microvascular pathology and Alzheimer disease. Nature Review, 2009, 5(6): 305-6.
[3]
McCrimmon RJ, Ryan CM, Frier BM. Diabetes and cognitive dysfunction. Lancet, 2012, 379(9833): 2291-2299.
[4]
Pasquier F, Boulogne A, Leys D, et al. Diabetes mellitus and dementia. Diabete Metabol, 2006, 32(5Pt 1): 403-414.
[5]
Wardlaw JM, Smith EE, Biessels GJ, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet, 2013, 12(8): 822-838.
[6]
Moran C, Phan TG, Chen J, et al. Brain atrophy in type 2 diabetes: regional distribution and influence on cognition. Diabete Care, 2013, 36(12): 4036-4042.
[7]
Liu J, Liu T, Wang W，et al. Reduced gray matter volume in patients with type 2 diabetes mellitus. Front Aging Neurosci, 2017, 22(9): 161.
[8]
Wessels AM, Simsek S, Remijnse PL, et al. Voxel-based morphometry demonstrates reduced grey matter density on brain MRI in patients with diabetic retinopathy. Diabetologia, 2006, 49(10): 2474-2480.
[9]
Wu G, Lin L, Zhang Q, et al. Brain gray matter changes in type 2 diabetes mellitus: a Meta-analysis of whole-brain voxel-based morphometry study. J Diabete Complicat, 2017, 31(12): 1698-1703.
[10]
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.
[11]
Zhang Y, Zhang X, Zhang J, et al. Gray matter volume abnormalities in type 2 diabetes mellitus with and without mild cognitive impairment. Neurosci Letter, 2014, 6(562): 1-6.
[12]
Chen Z, Li L, Sun J, Ma L. Mapping the brain in type II diabetes: voxel-based morphometry using DARTEL. Eur J Radiol, 2012, 81(8): 1870-1876.
[13]
Farokhian F, Beheshti I, Sone D, et al. Comparing CAT12 and VBM8 for detecting brain morphological abnormalities in temporal lobe epilepsy. Front Neurol, 2017, 24(8): 428.
[14]
Smith SM, Jenkinson M, Johansen-Berg H, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage, 2006, 31(4):1487-1505.
[15]
Cui Z, Zhong S, Xu P, et al. PANDA: a pipeline toolbox for analyzing brain diffusion images. Front Human Neurosci, 2013, 21(7): 1-46.
[16]
Smith SM, Johansen-Berg H, Jenkinson M, et al. Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nature Protocol, 2007, 2(3): 499-503.
[17]
Sluimer JD, van der Flier WM, Karas GB, et al. Accelerating regional atrophy rates in the progression from normal aging to Alzheimer's disease. Eur Radiol, 2009, 19(12): 2826-2833.
[18]
Fox MD, Corbetta M, Snyder AZ, et al. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proceed Nat Academy Scien U S A, 2006, 103(26): 10046-10051.
[19]
Xie C, Bai F, Yu H, et al. Abnormal insula functional network is associated with episodic memory decline in amnestic mild cognitive impairment. Neuroimage, 2012, 63(1): 320-327.
[20]
Hempel R, Onopa R, Convit A. Type 2 diabetes affects hippocampus volume differentially in men and women. Diabete Metabol Res Review, 2012, 28(1): 76-83.
[21]
瞿航，高君艳，李澄，等. 2型糖尿病患者大脑灰质结构和神经活动协同性的磁共振成像研究.临床放射学杂志, 2016, 35(4): 512-517.
[22]
Ryan CM, Geckle MO, Orchard TJ. Cognitive efficiency declines over time in adults with Type 1 diabetes: effects of micro- and macrovascular complications. Diabetologia, 2003, 46(7): 940-948.
[23]
Heinen R, Vlegels N, de Bresser J, et al. The cumulative effect of small vessel disease lesions is reflected in structural brain networks of memory clinic patients. Neuroimage, 2018, 19 (19): 963-969.
[24]
Xiong Y, Sui Y, Xu Z, et al. A Diffusion tensor imaging study on white matter abnormalities in patients with type 2 diabetes using tract-based spatial statistics. AJNR Am J Neuroradiol, 2016, 37(8): 1462-1469.
[25]
Reijmer YD, Brundel M, de Bresser J, et al, Microstructural white matter abnormalities and cognitive functioning in type 2 diabetes: a diffusion tensor imaging study. Diabete Care, 2013, 36(1): 137-144.
[26]
Larner AJ. Mini-mental state examination: diagnostic test accuracy study in primary care referrals. Neurodegener Dis Manage, 2018, 8(5): 301-305.
[27]
Huang L, Chen KL, Lin BY, et al. chinese version of montreal cognitive assessment basic for discrimination among different severities of Alzheimer's disease. Neuropsychiatr Dis Treat, 2018, 21(14): 2133-2140.
[28]
Reijmer YD, Leemans A, Brundel M, et al. Disruption of the cerebral white matter network is related to slowing of information processing speed in patients with type 2 diabetes. Diabetes, 2013, 62(6): 2112-2115.

PREV The effect of social comparison subjects to regret emotional volatility: a rs-fMRI study
NEXT Functional magnetic resonance imaging study of brain activation area of acupuncture at Fenglong acupoint
  


LINK


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