关键词: Ischemic stroke Percent amplitude of fluctuation Resting-state fMRI Support vector machine

来  源:   DOI:10.1007/s10548-024-01063-1

Abstract:
Ischemic stroke is a vascular disease that may cause cognitive and behavioral abnormalities. This study aims to assess abnormal brain function in ischemic stroke patients using the percent amplitude of fluctuation (PerAF) method and further explore the feasibility of PerAF as an imaging biomarker for investigating ischemic stroke pathophysiology mechanisms. Sixteen ischemic stroke patients and 22 healthy controls (HCs) underwent resting state functional magnetic resonance imaging (rs-fMRI) scanning, and the resulting data were analyzed using PerAF. Then a correlation analysis was conducted between PerAF values and Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Finally, the abnormal PerAF values were extracted and defined as features for support vector machine (SVM) analysis. Compared with HCs, ischemic stroke patients showed decreased PerAF in the bilateral cuneus, left middle frontal gyrus, precuneus and right inferior temporal gyrus, and increased PerAF in the bilateral orbital part of middle frontal gyrus and right orbital part of superior frontal gyrus. Correlation analyses revealed that PerAF values in the left orbital part of middle frontal gyrus was negatively correlated with the MoCA scores. The SVM classification of the PerAF values achieved an area under the curve (AUC) of 0.98 and an accuracy of 94.74%. Abnormal brain function has been found among ischemic stroke patients, which may be correlated with visual impairment, attention deficits, and dysregulation of negative emotions following a stroke. Our findings may support the potential of PerAF as a sensitive biomarker for investigating the underlying mechanisms of ischemic stroke.
摘要:
缺血性中风是一种血管疾病,可能导致认知和行为异常。本研究旨在使用波动幅度百分比(PerAF)方法评估缺血性卒中患者的脑功能异常,并进一步探讨PerAF作为研究缺血性卒中病理生理机制的影像学生物标志物的可行性。16例缺血性卒中患者和22例健康对照(HCs)接受了静息状态功能磁共振成像(rs-fMRI)扫描,并使用PerAF分析所得数据。然后在PerAF值与简易精神状态检查(MMSE)和蒙特利尔认知评估(MoCA)评分之间进行相关性分析。最后,提取异常的PerAF值,并将其定义为支持向量机(SVM)分析的特征.与HC相比,缺血性卒中患者表现为双侧阴部PerAF降低,左额中回,前肌和右颞下回,额中回双侧眶部和额上回右眶部PerAF升高。相关分析表明,额叶中回左眶部分的PerAF值与MoCA评分呈负相关。PerAF值的SVM分类实现了0.98的曲线下面积(AUC)和94.74%的准确度。在缺血性卒中患者中发现脑功能异常,这可能与视力障碍有关,注意力缺陷,中风后的负面情绪失调。我们的发现可能支持PerAF作为研究缺血性卒中潜在机制的敏感生物标志物的潜力。
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