患有心血管疾病的患者的大脑衰老来自英国生物银行
Elizabeth Mcavoy1,2,3, Emma A M Stanley1,2,3,4, Anthony J Winder1,2
1Department of Radiology, University of Calgary, Calgary, Alberta, Canada.
Human brain mapping
|June 9, 2025
概括
大脑年龄差距 (BAG) 有效地识别了心血管疾病患者的异常大脑衰老,支持心脑轴理论. 这种成像生物标志物揭示了大脑衰老模式的疾病特异性变异.
科学领域:
- 神经成像是一种神经成像.
- 心血管健康 心血管健康
- 人工智能在医学中的应用
背景情况:
- 大脑衰老涉及正常的结构变化,但偏差可以信号疾病风险.
- 大脑年龄差距 (BAG) 使用机器学习量化大脑正常衰老的偏差.
- 之前的研究表明,BAG对神经疾病和心血管风险因素的治疗有前途.
研究的目的:
- 研究BAG在量化与已诊断的心血管疾病相关的大脑变化的实用性.
- 将心血管疾病患者的BAG与健康对照和神经疾病患者进行比较.
- 探索用于BAG预测的大脑区域是否在疾病组之间有所不同.
主要方法:
- 使用了来自英国生物库参与者的T1加权MRI扫描.
- 一个卷积神经网络 (CNN) 模型被训练来预测生物大脑年龄.
- 在心血管疾病组,健康对照组和神经疾病患者中计算和比较BAG.
- Saliency 地图分析了对CNN年龄预测至关重要的大脑区域.
主要成果:
- 与健康参与者相比,在42个性别特异性心血管疾病组中的10个中发现了BAG分布的显著差异.
- 通过突出性地图识别的脑部区域在不同组之间没有观察到显著差异.
- 美国有线电视新闻网的模型主要依赖于健康的大脑衰老模式,即使存在心血管疾病.
结论:
- BAG作为一个敏感的成像生物标志物,用于检测与特定心血管疾病相关的脑衰老差异.
- 研究结果支持心脑轴理论,强调心血管疾病与异常大脑衰老的关联.
- BAG分析提供了关于心血管疾病的神经影响的见解.
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