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不仅仅是静态变化:中风后静息态脑低频波动动态幅度的复杂性改变

More than just statics: altered complexity of dynamic amplitude of low-frequency fluctuations in the resting brain after stroke.

作者信息

Tian Na, Liang Liu-Ke, Luo Xue-Mao, Hu Rong-Liang, Long Wan-Sheng, Song Rong

机构信息

Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, Guangdong, People's Republic of China.

Shenzhen Research Institute of Sun Yat-sen University, Shenzhen 518107, Guangdong, People's Republic of China.

出版信息

J Neural Eng. 2022 Jun 10;19(3). doi: 10.1088/1741-2552/ac71ce.

Abstract

Previous neuroimaging studies mainly focused on static characteristics of brain activity, and little is known about its characteristics over time, especially in post-stroke (PS) patients. In this study, we aimed to investigate the static and dynamic characteristics of brain activity after stroke using functional magnetic resonance imaging (fMRI).Twenty ischemic PS patients and nineteen healthy controls (HCs) were recruited to receive a resting-state fMRI scanning. The static amplitude of low-frequency fluctuations (sALFFs) and fuzzy entropy of dynamic ALFF (FE-dALFF) were applied to identify the stroke-induced alterations.Compared with the HCs, PS patients showed significantly increased FE-dALFF values in the right angular gyrus (ANG), bilateral precuneus (PCUN), and right inferior parietal lobule (IPL) as well as significantly decreased FE-dALFF values in the right postcentral gyrus (PoCG), right dorsolateral superior frontal gyrus (SFGdor), and right precentral gyrus (PreCG). The receiver operating characteristic analyses demonstrated that FE-dALFF and sALFF possess comparable sensitivity in distinguishing PS patients from the HCs. Moreover, a significantly positive correlation was observed between the FE-dALFF values and the Fugl-Meyer Assessment (FMA) scores in the right SFGdor (= 0.547), right IPL (= 0.522), and right PCUN (= 0.486).This study provided insight into the stroke-induced alterations in static and dynamic characteristics of local brain activity, highlighting the potential of FE-dALFF in understanding neurophysiological mechanisms and evaluating pathological changes.

摘要

以往的神经影像学研究主要关注大脑活动的静态特征,而对其随时间变化的特征了解甚少,尤其是在中风后(PS)患者中。在本研究中,我们旨在使用功能磁共振成像(fMRI)研究中风后脑活动的静态和动态特征。招募了20名缺血性PS患者和19名健康对照者(HCs)接受静息态fMRI扫描。应用低频波动的静态幅度(sALFFs)和动态ALFF的模糊熵(FE-dALFF)来识别中风引起的改变。与HCs相比,PS患者在右侧角回(ANG)、双侧楔前叶(PCUN)和右侧顶下小叶(IPL)的FE-dALFF值显著增加,而在右侧中央后回(PoCG)、右侧背外侧额上回(SFGdor)和右侧中央前回(PreCG)的FE-dALFF值显著降低。受试者工作特征分析表明,FE-dALFF和sALFF在区分PS患者和HCs方面具有相当的敏感性。此外,在右侧SFGdor(= 0.547)、右侧IPL(= 0.522)和右侧PCUN(= 0.486)中,观察到FE-dALFF值与Fugl-Meyer评估(FMA)评分之间存在显著正相关。本研究深入了解了中风引起的局部脑活动静态和动态特征的改变,突出了FE-dALFF在理解神经生理机制和评估病理变化方面的潜力。

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