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Neurologic Factors in Patients with Vascular Mild Cognitive Impairment Based on fMRI

医学 蒙特利尔认知评估 功能磁共振成像 额叶 磁共振成像 心脏病学 神经心理学 内科学 颞叶 听力学 顶叶 额上回 认知 放射科 癫痫 认知障碍 精神科 疾病
作者
Yingying Zhuang,Yuntao Shi,Jiandong Zhang,Dan Kong,Lili Guo,Genji Bo,Yun Feng
出处
期刊:World Neurosurgery [Elsevier]
卷期号:149: 461-469 被引量:5
标识
DOI:10.1016/j.wneu.2020.11.120
摘要

This study focused on the application of functional magnetic resonance imaging and neuropsychology in diagnosis of vascular mild cognitive impairment (MCI) and the exploration of its relevant factors. The study enrolled 28 patients with vascular MCI in an observation group and 30 healthy individuals in a control group. All patients underwent magnetic resonance imaging. An automatic segmentation algorithm based on graph theory was adopted to process the images. Age, sex, disease course, Montreal Cognitive Assessment score, regional homogeneity, and amplitude of low-frequency fluctuation levels were recorded. There were no significant differences in age, gender, and course of disease between the observation group and the control group ( P > 0.05). The level of regional homogeneity in the left posterior cerebellum in the observation group was significantly higher than that in the control group ( P < 0.05).The regional homogeneity level of bilateral cingulate cortex was negatively correlated with Montreal Cognitive Assessment score ( P < 0.05). The amplitude of low-frequency fluctuation of bilateral inferior parietal lobe, parietal lobe, and prefrontal lobe in the observation group was significantly lower than that in the control group, and the amplitude of low-frequency fluctuation of bilateral anterior cingulate gyrus, superior medial frontal gyrus, orbital frontal gyrus, right middle frontal gyrus, and right auxiliary motor area was higher than that in the control group ( P < 0.05). Heart disease, such as myocardial infarction and atrial fibrillation, is a high risk factor for vascular MCI. Functional magnetic resonance imaging combined with an automatic segmentation algorithm can noninvasively observe the changes of a patient's brain tissue, which can be used in the recognition of vascular MCI. The global network attributes of patients with depression tend to be more randomized and have stronger resilience under targeted attacks.
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