血管性轻度认知障碍的多模态磁共振成像研究进展
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摘要
血管性轻度认知障碍(VaMCI)代表了血管性认知障碍(VCI)的早期症状阶段,此期可干预因素较多,若能积极治疗可延缓疾病的进一步发展,甚至可以降低其向血管性痴呆(VaD)的转化风险。多模态磁共振成像可以无创地对VaMCI患者的脑结构和功能进行评价,用于探索脑结构、功能与认知功能改变之间的相关关系,有利于为早期诊断VaMCI提供思路以及进一步理解其发生的神经病理学机制,具有广阔的应用前景。本文通过多模态磁共振成像技术对VaMCI的研究现状进行综述。
Vascular mild cognitive impairment(VaMCI) represents the early stage of symptoms of vascular cognitive impairment(VCI). There are many intervention factors in this period. If the active treatment can delay the further development of the disease and even reduce the risk of transforming into vascular dementia(VaD). As a widely used imaging method, multi-mode magnetic resonance imaging can evaluate the brain structure and function of patients with VaMCI noninvasively and explore the relationship between brain structure, function and cognitive function change. It is beneficial to provide an idea for early diagnosis of VaMCI and to further understand the neuropathologic mechanism of its occurrence, which has broad application prospects. In this paper, the research status and new methods of VaMCI are reviewed by using multi-mode magnetic resonance imaging in recent years.
Vascular mild cognitive impairment(VaMCI) represents the early stage of symptoms of vascular cognitive impairment(VCI). There are many intervention factors in this period. If the active treatment can delay the further development of the disease and even reduce the risk of transforming into vascular dementia(VaD). As a widely used imaging method, multi-mode magnetic resonance imaging can evaluate the brain structure and function of patients with VaMCI noninvasively and explore the relationship between brain structure, function and cognitive function change. It is beneficial to provide an idea for early diagnosis of VaMCI and to further understand the neuropathologic mechanism of its occurrence, which has broad application prospects. In this paper, the research status and new methods of VaMCI are reviewed by using multi-mode magnetic resonance imaging in recent years.
引文
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23 Yi LY,Liang X,Liu DM,et al.Disrupted topological organization of resting-state functional brain network in subcortical vascular mild cognitive impairment[J].CNS Neurosci Ther,2015,21(10):846-854.
24 Wang JF,Chen Y,Liang HZ,et al.The role of disturbed small-world networks in patients with white matter lesions and cognitive impairment revealed by resting state function magnetic resonance images (rs-fMRI)[J].Med Sci Monit,2019,25:341-356.
2 Divya KP,Menon RN,Varma RP,et al.Post-stroke cognitive impairment - A cross-sectional comparison study between mild cognitive impairment of vascular and non-vascular etiology[J].J Neurol Sci,2017,372:356-362.
3 Lei Y,Su JB,Guo QH,et al.Regional gray matter atrophy in vascular mild cognitive impairment[J].J Stroke Cerebrovasc Dis,2016,25(1):95-101.
4 Oakes TR,Fox AS,Johnstone T,et al.Integrating VBM into the General Linear Model with voxelwise anatomical covariates[J].Neuroimage,2007,34(2):500-508.
5 Fierstra J,Maclean DB,Fisher JA,et al.Surgical revascularization reverses cerebral cortical thinning in patients with severe cerebrovascular steno-occlusive disease[J].Stroke,2011,42(6):1631-1637.
6 Fierstra J,Poublanc J,Han JS,et al.Steal physiology is spatially associated with cortical thinning[J].J Neurol Neurosurg Psychiatry,2010,81(3):290-293.
7 Yi LY,Wang JH,Jia LF,et al.Structural and functional changes in subcortical vascular mild cognitive impairment:a combined voxel-based morphometry and resting-state fMRI study[J].PLoS One,2012,7(9):e44758.
8 Cao WW,Wang Y,Dong Q,et al.Deep microbleeds and periventricular white matter disintegrity are independent predictors of attention/executive dysfunction in non-dementia patients with small vessel disease[J].Int Psychogeriatr,2017,29(5):793-803.
9 Li MY,Meng Y,Wang MZ,et al.Cerebral gray matter volume reduction in subcortical vascular mild cognitive impairment patients and subcortical vascular dementia patients,and its relation with cognitive deficits[J].Brain Behav,2017,7(8):e00745.
10 Banerjee G,Wilson D,J?ger HR,et al.Novel imaging techniques in cerebral small vessel diseases and vascular cognitive impairment[J].Biochim Biophys Acta,2016,1862(5):926-938.
11 Croall ID,Lohner V,Moynihan B,et al.Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studies[J].Clin Sci,2017,131(12):1361-1373.
12 Lin L,Xue YJ,Duan Q,et al.Microstructural white matter abnormalities and cognitive dysfunction in subcortical ischemic vascular disease:an atlas-based diffusion tensor analysis study[J].J Mol Neurosci,2015,56(2):363-370.
13 Kim SH,Park JS,Ahn HJ,et al.Voxel-based analysis of diffusion tensor imaging in patients with subcortical vascular cognitive impairment:correlates with cognitive and motor deficits[J].J Neuroimaging,2011,21(4):317-324.
14 Lawrence AJ,Patel B,Morris RG,et al.Mechanisms of cognitive impairment in cerebral small vessel disease:multimodal MRI results from the St George's cognition and neuroimaging in stroke (SCANS) study[J].PLoS One,2013,8(4):e61014.
15 Yuan JL,Wang SK,Guo XJ,et al.Disconnections of cortico-subcortical pathways related to cognitive impairment in patients with leukoaraiosis:A preliminary diffusion tensor imaging study[J].Eur Neurol,2017,78(1/2):41-47.
16 Xu Q,Zhou Y,Li YS,et al.Diffusion tensor imaging changes correlate with cognition better than conventional MRI findings in patients with subcortical ischemic vascular disease[J].Dement Geriatr Cogn Disord,2010,30(4):317-326.
17 Tuladhar AM,van Norden AG,de Laat KF,et al.White matter integrity in small vessel disease is related to cognition[J].Neuroimage Clin,2015,7:518-524.
18 Siero JC,Bhogal A,Jansma JM.Blood oxygenation level-dependent/functional magnetic resonance imaging:underpinnings,practice,and perspectives[J].PET Clin,2013,8(3):329-344.
19 彭琪,钟笑梅,吴章英,等.不同亚型轻度认知障碍患者静息态脑功能局部一致性研究[J].中国神经精神疾病志,2017,43(4):199-204.
20 Zuo MM,Xu Y,Zhang XM,et al.Aberrant brain regional homogeneity and functional connectivity of entorhinal cortex in vascular mild cognitive impairment:A resting-state functional MRI study[J].Front Neurol,2018,9:1177.
21 Ding HM,Xu Y,Li XJ,et al.Aberrant Default Mode Network in Patients with Vascular Cognitive Impairment,No Dementia.[J] .Int J Clin Exp Med,2018,11(3):1984-1993.
22 Park JY,Kim YH,Chang WH,et al.Significance of longitudinal changes in the default-mode network for cognitive recovery after stroke[J].Eur J Neurosci,2014,40(4):2715-2722.
23 Yi LY,Liang X,Liu DM,et al.Disrupted topological organization of resting-state functional brain network in subcortical vascular mild cognitive impairment[J].CNS Neurosci Ther,2015,21(10):846-854.
24 Wang JF,Chen Y,Liang HZ,et al.The role of disturbed small-world networks in patients with white matter lesions and cognitive impairment revealed by resting state function magnetic resonance images (rs-fMRI)[J].Med Sci Monit,2019,25:341-356.