首页> 美国卫生研究院文献>Aging (Albany NY) >Altered complexity of resting-state BOLD activity in Alzheimer’s disease-related neurodegeneration: a multiscale entropy analysis
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Altered complexity of resting-state BOLD activity in Alzheimer’s disease-related neurodegeneration: a multiscale entropy analysis

机译:改变阿尔茨海默病相关神经变性的休息状态大胆活动的复杂性:多尺度熵分析

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摘要

Brain complexity, which reflects the ability of the brain to adapt to a changing environment, has been found to be significantly changed with age. However, there is less evidence on the alterations of brain complexity in neurodegenerative disorders such as Alzheimer’s disease (AD). Here we investigated the altered complexity of resting-state blood oxygen level-dependent signals in AD-related neurodegeneration using multiscale entropy (MSE) analysis. All participants were recruited from the Alzheimer’s Disease Neuroimaging Initiative, including healthy controls (HC, n=62), amnestic mild cognitive impairment (aMCI, n =81) patients, and Alzheimer’s disease (AD, n=25) patients. Our results showed time scale-dependent MSE differences across the three groups. In scale=1, significantly changed MSE patterns (HC>aMCI>AD) were found in four brain regions, including the hippocampus, middle frontal gyrus, intraparietal lobe, and superior frontal gyrus. In scale=4, reversed MSE patterns (HC
机译:脑复杂性反映了大脑适应变化环境的能力,已被发现随着年龄而显着改变。然而,关于诸如阿尔茨海默病(AD)之类的神经变性疾病中脑复杂性改变的证据较差。在这里,我们研究了使用多尺度熵(MSE)分析的AD相关神经变性中休息状态血氧水平依赖性信号的改变复杂性。所有参与者都是从阿尔茨海默病的神经影像疾病倡议招募的,包括健康对照(HC,N = 62),Amnestic患者(AMCI,N = 81)患者和阿尔茨海默病(AD,N = 25)患者。我们的结果显示了三个组的时间尺度依赖性的MSE差异。在Scale = 1中,在四个脑区中发现了显着改变的MSE模式(HC> AMCI> AD),包括海马,中正面转象,片内叶和卓越的额相回流。规模= 4,反转的MSE模式(HC

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