脑血管病患者血流、脑脊液损伤与认知功能障碍脑区策略损伤的关系

Q3 Multidisciplinary
L. Dobrynina, Z. S. Gadzhieva, K. Shamtieva, E. Kremneva, B. M. Akhmetzyanov, M. M. Tsypushtanova, A. G. Makarova, V. V. Trubitsyna, M. Krotenkova
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引用次数: 1

摘要

介绍。脑血管病(CSVD),与年龄和血管危险因素相关,也是血管性和退行性混合性认知障碍(CI)的主要原因。先前建立的CI的微观结构预测因子(左额叶后部、右扣带皮层中部和胼胝体后部正常心室周围白质的轴向扩散)可以用来计算一个综合因子,超过表明CI存在的阈值。这一因素在CSVD中CI诊断中的应用得到了以下事实的支持:CSVD的主要机制涉及对CI具有战略意义的大脑区域的损伤。本研究的目的是澄清CSVD中CI的已知微观结构预测因子与与CSVD主要机制相对应的MRI结果之间的联系。材料和方法。患者(n = 74;其中女性48人;平均年龄60.6 - 6.9岁),患有不同严重程度的CSVD和CI,接受相衬MRI和基于体素的形态测量(3T)来评估动脉、静脉和CSF流量以及萎缩。结果。已建立的CI显微结构预测指标与动脉和静脉血流量以及萎缩相关。当上矢状窦血流量和整体动脉血流量减少时,线性回归模型使我们能够根据动脉流速脉冲指数、脑导水管水平的CSF流量、脑导水管面积和侧脑室体积的增加来估计脑小血管疾病(CSVD)的认知障碍(CI)预测因子。结论。基于MRI结果计算CSVD引起的CI的微观结构预测因子的能力表明,将CI的微观结构预测因子综合测量作为CSVD CI的诊断工具是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relations of impaired blood flow and cerebrospinal fluid flow with damage of strategic for cognitive impairment brain regiones in cerebral small vessel disease
Introduction. Cerebral small vessel disease (CSVD), associated with age and vascular risk factors, as well as the main cause of vascular and degenerative mixed cognitive impairment (CI). Previously established microstructural predictors of CI (axial diffusion in normal-appearing periventricular white matter of the posterior left frontal lobe, the right midcingulate cortex, and the middle posterior part of the corpus callosum) can be used to calculate an integrative factor, exceeding the threshold value for which indicates the presence of CI. The use of this factor in the diagnosis of CI in CSVD is supported by the fact that leading mechanisms of CSVD are involved in the damage to areas of the brain that are strategic for CI. The aim of this study was to clarify the link between the known microstructural predictors of CI in CSVD and MRI findings that correspond to the main mechanisms of CSVD. Materials and methods. Patients (n = 74; including 48 women; average age 60.6 6.9 years) with CSVD and CI of varying severity underwent phase-contrast MRI and voxel-based morphometry (3T) to assess arterial, venous and CSF flow, as well as atrophy. Results. The established microstructural predictors of CI correlated with measures of arterial and venous blood flow, as well as atrophy. Linear regression models allow us to estimate cognitive impairment (CI) predictors in cerebral small vessel disease (CSVD), based on increased arterial velocity pulse index, CSF flow at the level of the cerebral aqueduct, cerebral aqueduct area and lateral ventricles volume, when there is reduced blood flow in the superior sagittal sinus and the overall arterial blood flow. Conclusion. The ability to calculate microstructural predictors of CI due to CSVD, based on MRI findings, indicates the validity of using an integrative measure of microstructural predictors of CI as a diagnostic tool of CI in CSVD.
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来源期刊
Annals of Clinical and Experimental Neurology
Annals of Clinical and Experimental Neurology Medicine-Neurology (clinical)
CiteScore
0.80
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