可通用的MRI规范建模,以检测不适合年龄的神经退行
Thomas D Parker1,2,3, Richard A I Bethlehem4, Jakob Seidlitz5,6,7
1Department of Brain Sciences. Burlington Danes, Imperial College London, The Hammersmith Hospital, London, W12 0HS, UK. t.parker@imperial.ac.uk.
Alzheimer's research & therapy
|November 13, 2025
概括
脑图利用规范性数据创建个性化的脑指标,帮助客观识别神经退行性缩. 这种方法有助于检测像阿尔茨海默病这样的疾病中不适合年龄的脑部变化.
科学领域:
- 神经成像是一种神经成像.
- 生物标志物 生物标志物
- 神经退行性疾病 神经退行性疾病
背景情况:
- 从MRI扫描中评估适合年龄的脑缩是具有挑战性的.
- 自动化结构性MRI指标显示神经退行有前途,但缺乏标准化的参考数据.
- 规范建模提供了一个解决方案,通过为MRI指标创建个性化,年龄和性别调整的百分点得分.
研究的目的:
- 开发和验证大脑图表,以对大脑结构进行个人级别的评估.
- 为了研究大脑图表的百分点数,认知表现和神经病理学之间的关系.
- 应用脑图绘制来识别阿尔茨海默病中的神经退行性缩和前叶退化.
主要方法:
- 使用56,173名参与者的规范性数据开发了区域皮层厚度和杏仁体/海马体体积大脑图表.
- 应用大脑图表来评估个人百分点数和群体级别与认知表现的关系 (迷你精神状态检查).
- 在患有阿尔茨海默病 (ADNI-3,NACC) 和前叶退行性疾病 (NFLD) 的队列中验证的大脑图谱.
主要成果:
- 脑图成功地证明了临床病例中的个性化缩模式.
- 组级分析显示,区域百分点得分预测了阿尔茨海默病中的认知表现和陶沉积.
- 大脑图谱将阿尔茨海默病群体与对照群区分开来,并在前叶退行变性表型中识别出明显的缩模式.
结论:
- 来自规范性脑图的区域百分点得分为客观缩识别提供了可通用的方法.
- 大脑图谱可以在个人层面上确定神经退行性缩.
- 这种方法增强了对MRI扫描进行神经退行性疾病诊断的解释.
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