生物标志物 生物标志物
Kay Jann1, Ru Zhang1, Jared Brown2
1Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
概括
功能性MRI (fMRI) 复杂性,通过多尺度样本 (MSE) 测量,可以检测早期的认知衰退. 在特定的大脑区域的改变fMRI复杂性表明阿尔茨海默病的进展,表明其早期诊断的潜力.
科学领域:
- 神经科学是一个神经科学.
- 信息理论 信息理论
- 生物统计学 生物统计学
背景情况:
- 非线性统计技术,特别是基于的fMRI复杂性,对于研究神经认知衰老和神经退行性疾病至关重要.
- 减少fMRI复杂性与信息处理受损和阿尔茨海默病进展相关.
- 这项研究探讨了fMRI复杂性作为认知衰退的早期标志物.
研究的目的:
- 使用多尺度样本 (MSE) 作为认知衰退的早期指标,研究fMRI复杂性.
- 区分具有稳定的认知状态的参与者和疾病进展阶段的参与者.
- 评估MSE在阿尔茨海默病早期诊断和预后监测方面的潜力.
主要方法:
- 分析了参与者的fMRI数据,分为正常认知 (NC),稳定的轻度认知障碍 (MCI),NC到MCI转换器 (NC2MCI) 和MCI到阿尔茨海默病转换器 (MCI2AD).
- 使用CONN工具箱预处理的fMRI数据,并用四个尺度计算MSE,m=2和r=0.3.3.
- 采用了一般化的线性模型和Dunnett的测试进行群组比较,调整为共变量.
主要成果:
- 两组之间没有发现全球灰色物质MSE的显著差异.
- 在MSE中观察到的统计学上显著的差异是中额头 (MFG),上额头 (SFG),侧叶 (LTL) 和中叶 (MTL).
- 具体来说,MCI2AD和NC2MCI组显示MFG中MSE减少,MCI2AD组显示LTL中MSE减少.
结论:
- 在转换到更严重的疾病阶段的个体中,fMRI复杂性 (MSE) 发生了显著的变化,但在稳定的群体中没有.
- 这些发现凸显了fMRI复杂性对与疾病进展相关的早期症状前变化的敏感性.
- 作为早期阿尔茨海默病诊断,预后监测和个性化护理的工具,MSE显示出希望.
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