Amide proton transfer could be a surrogate imaging marker for predicting vascular cognitive impairment

被引:1
|
作者
Mu, Ronghua [1 ]
Qin, Xiaoyan [1 ]
Zheng, Wei [1 ]
Yang, Peng [1 ]
Huang, Bingqin [2 ]
Li, Xin [1 ]
Liu, Fuzhen [1 ]
Deng, Kan [3 ]
Zhu, Xiqi [1 ]
机构
[1] Nanxishan Hosp Guangxi Zhuang Autonomous Reg, Dept Radiol, Guilin 541004, Peoples R China
[2] Guilin Med Univ, Grad Sch, Guilin 541002, Peoples R China
[3] Philips China Investment Co Ltd, Guangzhou Branch, Guangzhou 510000, Peoples R China
关键词
Cerebral small vessel disease; Amide proton transfer; Vascular cognitive impairment; Mild cognitive impairment; Vascular dementia; SMALL-VESSEL DISEASE; WHITE-MATTER HYPERINTENSITIES; INFORMATION-PROCESSING SPEED; ALZHEIMERS-DISEASE; FUNCTIONAL CONNECTIVITY; PERIVASCULAR SPACES; ATROPHY; BRAIN; IDENTIFICATION; ASSOCIATIONS;
D O I
10.1016/j.brainresbull.2023.110793
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Backgroud: Emerging evidence suggests an overlap in the underlying pathways contributing to both cerebral small vessel disease (CSVD) and the neurodegenerative disease. Studies investigating the progression of CSVD should incorporate markers that reflect neurodegenerative lesions.Objective: We aim to investigate whether Amide proton transfer (APT) can serve as a potential marker for reflecting vascular cognitive impairment (VCI).Method: Participants were categorized into one of three groups based on their Montreal Cognitive Assessment (MoCA) scores: normal control group (age,54.9 +/- 7.9; male, 52.9%), mild cognitive impairment (MCI) group (age,55.7 +/- 6.9; male, 42.6%), or vascular dementia (VaD) group (age,57.6 +/- 5.5, male, 58.5%). One way analysis of variance was performed to compare the demographic and APT variables between groups. Multiple logistic regression analysis wwas constructed to examine the relationship between APT values and VCI grouping. A hierarchical linear regression model was employed to examine the associations between patients' demographic factors, imaging markers, APT values, and MoCA.Results: The APT values of frontal white matter, hippocampus, amygdala, and thalamus were significantly different among different groups (p < 0.05). The APT values of frontal white matter, amygdala, and thalamus indicate a significant positive effect on MCI grouping. the APT values of frontal white matter, amygdala, and thalamus indicate a significant positive effect on VaD grouping. The demographic data, CSVD imaging markers and APT values can account for 5.1%, 20.1% and 27.7% of the variation in MoCA, respectively.Conclusion: APT imaging can partially identifying and predicting the occurrence of VCI.
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页数:10
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