doi:10.3969/j.issn.1674-490X.2024.04.003

Abstract

Abstract: Cerebral small vessel disease(CSVD)is a wide range of cerebrovascular diseases with a variety of causes, which is the most common cause of vascular dementia. With increasing age, the prevalence of CSVD also increases, affecting the quality of life of the elderly population. With the continuous exploration and application of traditional magnetic resonance imaging technology, functional magnetic resonance technology has been rapidly developed, and it is expected to provide more possibilities for the early diagnosis of CSVD and the relationship between CSVD and vascular cognitive impairment. This article reviews the application and research advances of multimodal functional magnetic resonance imaging in observing the relationship between CSVD and vascular cognitive impairment in order to provide evidence for the clinical diagnosis of CSVD from the perspective of imaging.

Key words: cerebral small vessel disease, functional magnetic resonance imaging, magnetic resonance imaging, multimodality, vascular cognitive impairment

CLC Number:

R445

References

[1] CHOJDAK-ŁUKASIEWICZ J, DZIADKOWIAK E, ZIMNY A, et al. Cerebral small vessel disease: a review[J]. Adv Clin Exp Med, 2021, 30(3): 349-356. DOI: 10.17219/acem/131216.
[2] RUNDEK T, TOLEA M, ARIKO T, et al. Vascular cognitive impairment(VCI)[J]. Neurotherapeutics, 2022, 19(1): 68-88. DOI: 10.1007/s13311-021-01170-y.
[3] LI Q, YANG Y, REIS C, et al. Cerebral small vessel disease[J]. Cell Transplant, 2018, 27(12): 1711-1722. DOI: 10.1177/0963689718795148.
[4] CANNISTRARO R J, BADI M, EIDELMAN B H, et al. CNS small vessel disease: a clinical review[J]. Neurology, 2019, 92(24): 1146-1156. DOI: 10.1212/WNL.0000000000007654.
[5] DICHGANS M, LEYS D. Vascular cognitive impairment[J]. Circ Res, 2017, 120(3): 573-591. DOI: 10.1161/circresaha.116.308426.
[6] CORRIVEAU R A, BOSETTI F, EMR M, et al. The science of vascular contributions to cognitive impairment and dementia(VCID): a framework for advancing research priorities in the cerebrovascular biology of cognitive decline[J]. Cell Mol Neurobiol, 2016, 36(2): 281-288. DOI: 10.1007/s10571-016-0334-7.
[7] SKROBOT O A, ATTEMS J, ESIRI M, et al. Vascular cognitive impairment neuropathology guidelines(VCING): the contribution of cerebrovascular pathology to cognitive impairment[J]. Brain, 2016, 139(11): 2957-2969. DOI: 10.1093/brain/aww214.
[8] 刘健萍,赵海,高明勇,等.基于DTI探讨脑小血管病患者脑白质微结构损伤与认知功能障碍的相关性[J].中国CT和MRI杂志, 2016, 14(8): 90-92, 95.
[9] 康英杰,张颖颖,龚志刚,等.血管性认知障碍的脑白质微结构改变[J].中国中西医结合影像学杂志, 2023, 21(4): 387-391. DOI: 10.3969/j.issn.1672-0512.2023.04.008.
[10] 秦琪,唐毅,曲怡达,等.利用弥散张量成像技术观察小血管病所致非痴呆型血管性认知障碍患者白质结构损害与认知下降的关系[J].首都医科大学学报, 2021, 42(3): 373-384. DOI: 10.3969/j.issn.1006-7795.2021.03.006.
[11] 韦莎莎,张双,李小宝,等.应用DTI技术分析脑微出血与认知功能损害的相关性[J].中国CT和MRI杂志, 2022, 20(12): 4-6.
[12] 单敏,张敏,张清秀,等.动脉自旋标记成像在脑小血管病中的应用与研究进展[J].中华神经医学杂志, 2023, 22(8): 856-861. DOI: 10.3760/cma.j.cn115354-20221017-00721.
[13] 徐畅,王巍.3D-ASL不同标记延迟时间及脑白质病变评分在血管性认知障碍疾病中的临床价值研究[J].磁共振成像, 2020, 11(8): 630-634. DOI: 10.12015/issn.1674-8034.2020.08.007.
[14] 代允义,林光耀,路文革,等.三维动脉自旋标记灌注成像技术在脑小血管病合并认知功能障碍中的应用[J].中国实用神经疾病杂志, 2021, 24(16): 1408-1416. DOI: 10.12083/SYSJ.2021.16.020.
[15] WANG R, LIU N, TAO Y Y, et al. The application of rs-fMRI in vascular cognitive impairment[J]. Front Neurol, 2020, 11: 951. DOI: 10.3389/fneur.2020.00951.
[16] LEE M H, SMYSER C D, SHIMONY J S. Resting-state fMRI: a review of methods and clinical applications[J]. AJNR Am J Neuroradiol, 2013, 34(10): 1866-1872. DOI: 10.3174/ajnr.A3263.
[17] FENG M M, WEN H W, XIN H T, et al. Altered spontaneous brain activity related to neurologic dysfunction in patients with cerebral small vessel disease[J]. Front Aging Neurosci, 2021, 13: 731585. DOI: 10.3389/fnagi.2021.731585.
[18] YANG F, MA H, YUAN J, et al. Correlation of abnormalities in resting state fMRI with executive functioning in chronic schizophrenia[J]. Psychiatry Res, 2021, 299: 113862. DOI: 10.1016/j.psychres.2021.113862.
[19] 王敏,王建伟,张克忠,等.基于静息态功能MRI对不同运动亚型帕金森病患者脑功能局部一致性改变的研究[J].中华放射学杂志, 2019, 53(9): 748-754. DOI: 10.3760/cma.j.issn.1005-1201.2019.09.007.
[20] 冯丽,石庆丽,李越秀,等.脑白质病变伴认知障碍患者的全脑局部一致性变化[J].中国医刊, 2020, 55(2): 147-151. DOI: 10.3969/j.issn.1008-1070.2020.02.010.
[21] HUANG M L, LU S J, YU L, et al. Altered fractional amplitude of low frequency fluctuation associated with cognitive dysfunction in first-episode drug-na-ve major depressive disorder patients[J]. BMC Psychiatry, 2017, 17(1): 11. DOI: 10.1186/s12888-016-1190-1.
[22] HONEY C J, SPORNS O, CAMMOUN L et al. Predicting human resting-state functional connectivity from structural connectivity[J]. Proc Natl Acad Sci U S A, 2009, 106(6): 2035-2040. DOI: 10.1073/pnas.0811168106.
[23] ACHARYA A, LIANG X, TIAN W, et al. White matter hyperintensities relate to basal ganglia functional connectivity and memory performance in amci and svmci[J]. Front Neurosci, 2019, 13: 1204. DOI: 10.3389/fnins.2019.01204.
[24] 刘筱霜,罗天友.多模态功能磁共振成像在血管性认知功能障碍中的研究进展[J].中国医学影像学杂志, 2019, 27(5): 389-392. DOI: 10.3969/j.issn.1005-5185.2019.05.017.
[25] LIU H H, ZHANG D D, LIN H W, et al. Meta-analysis of neurochemical changes estimated via magnetic resonance spectroscopy in mild cognitive impairment and Alzheimer's disease[J]. Front Aging Neurosci, 2021, 13: 738971. DOI: 10.3389/fnagi.2021.738971.
[26] 闫振国,陈婡,胡春梅,等.脑小血管病相关轻度认知功能障碍患者海马代谢水平及相关因素研究[J].卒中与神经疾病, 2023, 30(2): 183-187. DOI: 10.3969/j.issn.1007-0478.2023.02.011.
[27] 李棠华,潘金万,卢顺钱. 磁共振弥散张量和波谱成像在缺血性脑小血管疾病中的应用研究[J].现代医用影像学, 2020, 29(3): 485-487.
[28] 邢立红,翟飞,张敬,等.脑微出血灶与认知功能相关性的磁共振研究[J].中华老年心脑血管病杂志, 2014, 16(3): 287-290. DOI: 10.3969/j.issn.1009-0126.2014.03.019.
[29] THOMAS B, SOMASUNDARAM S, THAMBURAJ K, et al. Clinical applications of susceptibility weighted MR imaging of the brain: a pictorial review[J]. Neuroradiology, 2008, 50(2): 105-116. DOI: 10.1007/s00234-007-0316-z.
[30] 康健捷,黎振声,项薇,等.脑小血管病非痴呆患者认知功能状态及其与脑微出血相关性研究[J].神经损伤与功能重建, 2022, 17(11): 628-631, 644. DOI: 10.16780/j.cnki.sjssgncj.20211201.
[31] WONG S M, JANSEN J F A, ZHANG C E, et al. Blood-brain barrier impairment and hypoperfusion are linked in cerebral small vessel disease[J]. Neurology, 2019, 92(15): e1669-e1677. DOI: 10.1212/WNL.0000000000007263.
[32] XU Z H, LI F F, WANG B, et al. New insights in addressing cerebral small vessel disease: association with the deep medullary veins[J]. Front Aging Neurosci, 2020, 12: 597799. DOI: 10.3389/fnagi.2020.597799.
[33] 陈修齐,罗煜凡,孙文博,等.大脑深髓静脉增加对脑小血管病严重程度的预测价值[J].中国临床神经科学, 2022, 30(1): 30-38.
[34] 蓝海源,雷新军,徐志华,等.深髓静脉评分和脑小血管疾病患者认知功能障碍相关性研究[J].影像诊断与介入放射学, 2023, 32(3): 201-205. DOI: 10.3969/j.issn.1005-8001.2023.03.007.

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 10

Recommended Articles

Metrics

Comments

[1]	. [J]. Journal of Hebei Medical College for Continuing Education, 2024, 41(3): 76-80.
[2]	. [J]. Journal of Hebei Medical College for Continuing Education, 2024, 41(2): 21-28.
[3]	. [J]. Journal of Hebei Medical College for Continuing Education, 2023, 40(5): 8-14.
[4]	. [J]. Journal of Hebei Medical College for Continuing Education, 2023, 40(5): 1-7.
[5]	. [J]. Journal of Hebei Medical College for Continuing Education, 2023, 40(1): 22-28.
[6]	LI Siqi, CAI Jingwei, SUI Lianyu, YANG Cunxia, WU Chunmei, YIN Xiaoping. Imaging progress in nonalcoholic fatty pancreatic disease and type 2 diabetes mellitus [J]. Journal of Hebei Medical College for Continuing Education, 2022, 39(5): 7-12.
[7]	SUI Lianyu, YIN Xiaoping, WANG Jianing. Developments on radiogenomics based on MRI in lung cancer brain metastases [J]. Journal of Hebei Medical College for Continuing Education, 2022, 39(1): 25-34.
[8]	. [J]. Medical Reserch and Education, 2019, 36(5): 19-23.
[9]	. [J]. Medical Reserch and Education, 2019, 36(3): 45-49.
[10]	. [J]. Medical Reserch and Education, 2019, 36(3): 39-44.