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在阿尔茨海默病中,使用规范建模来个性化大脑结构的渐进变化.
Serena Verdi1,2, Saige Rutherford3,4, Charlotte Fraza3,4
1Centre for Medical Image Computing, University College London, London, UK.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|September 5, 2024
概括
神经解剖学规范建模使用脑成像追踪阿尔茨海默病 (AD) 的进展. 轻度认知障碍 (MCI) 的异常值增加预测转化为AD,海马体显示最快的变化.
科学领域:
- 神经成像是一种神经成像.
- 神经科学是一个神经科学.
- 生物统计学 生物统计学
背景情况:
- 阿尔茨海默病 (AD) 的特点是神经退行.
- 追踪个体疾病进展对于理解AD至关重要.
- 神经解剖学的规范建模提供了一种捕捉个体变化的方法.
研究的目的:
- 将神经解剖学规范建模应用于连续阿尔茨海默病 (AD) MRI 数据.
- 追踪患有轻度认知障碍 (MCI) 和AD的个体的疾病进展.
- 为了确定大脑区域和量化与疾病进展相关的变化.
主要方法:
- 从大量健康对照数据集 (n ≈ 58k) 中生成规范模型.
- 从1181名参与者的3233个T1加权MRI扫描中计算了区域z-scores.
- 定义的异常值为具有z-score < -1.96的地区,并通过总异常值计数 (tOC) 总结.
主要成果:
- 在AD患者和转换为AD的MCI个体中,tOC增加.
- 较高的年均tOC变化与MCI发展为AD的风险增加相关.
- 海马体表现出大脑异常值的变化率最高.
结论:
- 神经解剖学的规范建模可以追踪AD中的个体缩率.
- 区域异常点地图和tOC为疾病进展提供了宝贵的见解.
- 这种方法增强了对阿尔茨海默病进展中的个体变异性的理解.
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