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WEI Jiajun, YU Mei, MAO Shanping, ZHANG Zhaohui. Analysis in multivoxel 1H-magnetic resonance spectroscopy for vascular cognitive impairment none dementia by cerebellar fastigial nucleus stimulation[J]. Journal of Clinical Medicine in Practice, 2021, 25(20): 23-27. DOI: 10.7619/jcmp.20213034
Citation: WEI Jiajun, YU Mei, MAO Shanping, ZHANG Zhaohui. Analysis in multivoxel 1H-magnetic resonance spectroscopy for vascular cognitive impairment none dementia by cerebellar fastigial nucleus stimulation[J]. Journal of Clinical Medicine in Practice, 2021, 25(20): 23-27. DOI: 10.7619/jcmp.20213034
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Analysis in multivoxel 1H-magnetic resonance spectroscopy for vascular cognitive impairment none dementia by cerebellar fastigial nucleus stimulation

  • Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060

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  • Received Date: July 27, 2021
  • Available Online: October 29, 2021
  • Published Date: October 27, 2021
    Graphical Abstract
    • Abstract
  •   Objective  To observe the changes of brain metabolites in patients with vascular cognitive impairment none dementia (VCIND) after cerebellar fastigial nucleus stimulation (FNS) by multivoxel 1H-magnetic resonance spectroscopy(1H-MRS).
      Methods  A total of 51 cases with VCIND were randomly divided into observation group (n=25) and control group (n=26). Both groups were treated with conventional medicine, and the observation group was further treated with FNS. Before and after treatment, Mini-mental Status Examination(MMSE) and Montreal Cognitive Assessment (MoCA) were used to assess the cognitive function of the two groups, and multivoxel 1H-MRS was used to detect the metabolites in bilateral frontal lobes, hippocampi, thalami, posterior cingulate gyri and angular gyri.
      Results  MMSE and MoCA scores in the observation group after FNS treatment were significantly higher than those before FNS treatment and the control group(P < 0.05). After treatment, the ratio of N-acetylaspartic acid to creatine in bilateral frontal lobe, hippocampus, posterior cingulate gyrus, thalamus and angular gyrus in the observation group was increased compared with that before treatment and the control group (P < 0.05). There were no adverse reactions in both groups after treatment.
      Conclusion  FNS can improve the cognitive function in patients with VCIND, and may be a new and safe method of non-drug treatment for VCIND. Multivoxel 1H-MRS may be a useful tool to observe the effect of FNS in treating VCIND.
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    • References (25)
  • [1]
    QIN Q, TANG Y, DOU X, et al. Default mode network integrity changes contribute to cognitive deficits in subcortical vascular cognitive impairment, no dementia[J]. Brain Imaging Behav, 2021, 15(1): 255-265. doi: 10.1007/s11682-019-00252-y
    [2]
    ISHII H, MEGURO K, YAMAGUCHI S, et al. Prevalence and cognitive performances of vascular cognitive impairment no dementia in Japan: the Osaki-Tajiri Project[J]. Eur J Neurol, 2007, 14(6): 609-616. doi: 10.1111/j.1468-1331.2007.01781.x
    [3]
    STEPHAN BCM, MINETT T, MUNIZ-TERRERA G, et al. Neuropsychological profiles of vascular disease and risk of dementia: implications for defining vascular cognitive impairment no dementia (VCI-ND)[J]. Age Ageing, 2017, 46(5): 755-760. doi: 10.1093/ageing/afx016
    [4]
    WENTZEL C, ROCKWOOD K, MACKNIGHT C, et al. Progression of impairment in patients with vascular cognitive impairment without dementia[J]. Neurology, 2001, 57(4): 714-716. doi: 10.1212/WNL.57.4.714
    [5]
    ROCKWOOD K, HOWARD K, MACKNIGHT C, et al. Spectrum of disease in vascular cognitive impairment[J]. Neuroepidemiology, 1999, 18(5): 248-254. doi: 10.1159/000026219
    [6]
    王拥军. 2016中国血管性认知障碍诊疗指导规范[J]. 心脑血管病防治, 2017, 17(1): 3-6. https://www.cnki.com.cn/Article/CJFDTOTAL-XXFZ201701002.htm
    [7]
    宋金花, 朱其秀, 李培媛, 等. 虚拟现实技术对非痴呆型血管性认知障碍患者认知功能、日常生活活动能力以及P300的影响[J]. 中华物理医学与康复杂志, 2018, 40(3): 195-197. doi: 10.3760/cma.j.issn.0254-1424.2018.03.008
    [8]
    张群, 吴要华, 朱峥. 蒙特利尔认知评估量表在血管性轻度认知损害中的应用[J]. 长春中医药大学学报, 2019, 35(2): 332-334, 348. https://www.cnki.com.cn/Article/CJFDTOTAL-CZXX201902039.htm
    [9]
    任洪磊, 张楠, 孙庆娜, 等. 遗忘型轻度认知障碍与非痴呆性血管性认知障碍的认知损害及睡眠障碍特点[J]. 中华老年心脑血管病杂志, 2015, 17(3): 231-234. doi: 10.3969/j.issn.1009-0126.2015.03.003
    [10]
    JACOVA C, PETERS K R, BEATTIE B L, et al. Cognitive impairment no dementia-neuropsychological and neuroimaging characterization of an amnestic subgroup[J]. Dement Geriatr Cogn Disord, 2008, 25(3): 238-247. doi: 10.1159/000115848
    [11]
    SACHDEV P S, CHEN X, BRODATY H, et al. The determinants and longitudinal course of post-stroke mild cognitive impairment[J]. J Int Neuropsychol Soc, 2009, 15(6): 915-923. doi: 10.1017/S1355617709990579
    [12]
    VINCIGUERRA L, LANZA G, PUGLISI V, et al. Transcranial Doppler ultrasound in vascular cognitive impairment-no dementia[J]. PLoS One, 2019, 14(4): e0216162. doi: 10.1371/journal.pone.0216162
    [13]
    王前友, 王文安, 沈亚雯, 等. 非痴呆型血管性认知功能障碍患者脑血流与MMSE及MoCA评分的相关性研究[J]. 中国临床神经科学, 2014, 22(4): 369-376. https://www.cnki.com.cn/Article/CJFDTOTAL-LCSK201404002.htm
    [14]
    MITERKO L N, BAKER K B, BECKINGHAUSEN J, et al. Consensus Paper: Experimental Neurostimulation of the Cerebellum[J]. Cerebellum, 2019, 18(6): 1064-1097. doi: 10.1007/s12311-019-01041-5
    [15]
    MANDEL M, TALAMONI F E, BOR-SENG-SHU E, et al. Neurogenic neuroprotection: clinical perspectives[J]. Funct Neurol, 2012, 27(4): 207-216.
    [16]
    HU S, SHI J, XIONG W, et al. Oxiracetam or fastigial nucleus stimulation reduces cognitive injury at high altitude[J]. Brain Behav, 2017, 7(10): e00762. doi: 10.1002/brb3.762
    [17]
    韩太真, 吴馥梅. 学习与记忆的神经生物学[M]. 北京: 北京医科大学和中国协和医科大学联合出版社, 1998: 243-260.
    [18]
    WANG J, DONG W W, ZHANG W H, et al. Electrical stimulation of cerebellar fastigial nucleus: mechanism of neuroprotection and prospects for clinical application against cerebral ischemia[J]. CNS Neurosci Ther, 2014, 20(8): 710-716. doi: 10.1111/cns.12288
    [19]
    XIA D, SUI R, MIN L, et al. Fastigial nucleus stimulation ameliorates cognitive impairment via modulating autophagy and inflammasomes activation in a rat model of vascular dementia[J]. J Cell Biochem, 2019, 120(4): 5108-5117. doi: 10.1002/jcb.27787
    [20]
    HU S L, SHI J T, XIONG W, et al. Oxiracetam or fastigial nucleus stimulation reduces cognitive injury at high altitude[J]. Brain Behav, 2017, 7(10): e00762. doi: 10.1002/brb3.762
    [21]
    MAUL S, GIEGLING I, RUJESCU D. Proton Magnetic Resonance Spectroscopy in Common Dementias-Current Status and Perspectives[J]. Front Psychiatry, 2020, 11: 769.
    [22]
    DU TOIT S, NG S. Improving care for older prisoners living with dementia in Australian prisons: perspectives of external organizations[J]. Gerontologist, 2021: gnab077. doi: 10.1093/geront/gnab077
    [23]
    QUINN C, ELMAN L, MCCLUSKEY L, et al. Frontal lobe abnormalities on MRS correlate with poor letter fluency in ALS[J]. Neurology, 2012, 79(6): 583-588. doi: 10.1212/WNL.0b013e3182635720
    [24]
    郭容, 涂晓坤, 李夏春, 等. 放射性脑损伤的发病机制及药物防治的研究进展[J]. 巴楚医学, 2019, 2(2): 113-117. https://www.cnki.com.cn/Article/CJFDTOTAL-BMJJ201902026.htm
    [25]
    刘金欢, 陈军, 谭子虎, 等. 加减薯蓣丸对非痴呆型血管性认知障碍患者认知功能的1H-MRS初步分析[J]. 中华医学杂志, 2014, 94(39): 3075-3078. doi: 10.3760/cma.j.issn.0376-2491.2014.39.010
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