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Research progress of different analysis methods of resting state magnetic resonance imaging in vascular cognitive impairment no dementia
CAI Lina  LI Xiaoling  CUI Xuan  WANG Peng  TONG Xin  WEI Zeyi  GAO Shenglan  HAN Shengwang  HOU Yu 

Co first author: LI Xiaoling DOI:10.12015/issn.1674-8034.2022.09.027.

[Abstract] Vascular cognitive impairment no dementia (VCIND) is a transitional stage between normal aging and vascular dementia . It refers to the disease of cognitive impairment caused by vascular lesions, however, its specific pathogenesis is not very clear, and there is a lack of specific imaging diagnostic markers in clinic. Resting state functional magnetic resonance imaging (rs-fMRI) technology combined with different analysis methods is applied to the study of the mechanism of vascular cognitive impairment no dementia. It can objectively reflect the brain functional activities, obtain the characteristic imaging indexes of VCIND patients, and provide some clues to explain its mechanism. This article reviews the application of different analysis methods of rs-fMRI in VCIND research.
[Keywords] resting state;brain;magnetic resonance imaging;vascular cognitive impairment no dementia

CAI Lina1   LI Xiaoling2   CUI Xuan1   WANG Peng3*   TONG Xin1   WEI Zeyi1   GAO Shenglan1   HAN Shengwang4   HOU Yu5  

1 Graduate School of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

2 Department of CT & MR, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

3 Department of Oncology, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

4 Department of Rehabilitation, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, China

5 Department of Gynecology, Harbin Hospital of Traditional Chinese Medicine, Harbin 150010, China

*Wang P, E-mail:

Conflicts of interest   None.

Received  2022-05-06
Accepted  2022-09-06
DOI: 10.12015/issn.1674-8034.2022.09.027
Co first author: LI XiaolingDOI:10.12015/issn.1674-8034.2022.09.027

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