School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China.
School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China.
Neurosci Lett. 2024 May 14;831:137790. doi: 10.1016/j.neulet.2024.137790. Epub 2024 Apr 24.
To explore degree centrality (DC) abnormalities in ischemic stroke patients and determine whether these abnormalities have potential value in understanding the pathological mechanisms of ischemic stroke patients.
Sixteen ischemic stroke patients and 22 healthy controls (HCs) underwent resting state functional magnetic resonance imaging (rs-fMRI) scanning, and the resulting data were subjected to DC analysis. Then we conducted a correlation analysis between DC values and neuropsychological test scores, including Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). Finally, extracted the abnormal DC values of brain regions and defined them as features for support vector machine (SVM) analysis.
Compared with HCs, ischemic stroke patients showed increased DC in the bilateral supplementary motor area, and median cingulate and paracingulate gyri and decreased DC in the left postcentral gyrus, right calcarine fissure and surrounding cortex, lingual gyrus, and orbital parts of the right superior frontal gyrus and bilateral cuneus. Correlation analyses revealed that DC values in the right lingual gyrus, calcarine fissure and surrounding cortex, and orbital parts of the right superior frontal gyrus were positively correlated with the MMSE scores. The SVM classification of the DC values achieved an area under the curve (AUC) of 0.93, an accuracy of 89.47%.
Our research results indicate that ischemic stroke patients exhibit abnormalities in the global connectivity mechanisms and patterns of the brain network. These abnormal changes may provide neuroimaging evidence for stroke-related motor, visual, and cognitive impairments, contribute to a deeper comprehension of the underlying pathophysiological mechanisms implicated in ischemic stroke.
探讨缺血性脑卒中患者的度中心度(DC)异常,并确定这些异常是否对理解缺血性脑卒中患者的病理机制具有潜在价值。
16 例缺血性脑卒中患者和 22 名健康对照者(HCs)接受静息态功能磁共振成像(rs-fMRI)扫描,对所得数据进行 DC 分析。然后我们进行了 DC 值与神经心理学测试评分(包括蒙特利尔认知评估量表(MoCA)和简易精神状态检查量表(MMSE))之间的相关性分析。最后,提取脑区的异常 DC 值,并将其定义为支持向量机(SVM)分析的特征。
与 HCs 相比,缺血性脑卒中患者双侧辅助运动区、中央旁小叶和旁中央小叶以及左侧中央后回、右侧距状裂及周围皮层、舌回和右侧额上回眶部及双侧楔前叶的 DC 值增加,而右侧舌回、距状裂及周围皮层和右侧额上回眶部的 DC 值降低。相关性分析显示,右侧舌回、距状裂及周围皮层和右侧额上回眶部的 DC 值与 MMSE 评分呈正相关。DC 值的 SVM 分类得到曲线下面积(AUC)为 0.93,准确率为 89.47%。
我们的研究结果表明,缺血性脑卒中患者存在大脑网络全局连接机制和模式的异常。这些异常变化可能为与中风相关的运动、视觉和认知障碍提供神经影像学证据,有助于深入理解缺血性中风涉及的潜在病理生理机制。