从跨越时间的重复采样数据中对大脑年龄预测的考虑.
Max Korbmacher1,2,3, Meng-Yun Wang3,4, Rune Eikeland3,4
1Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.
Brain and behavior
|August 17, 2023
概括
使用MRI进行的大脑年龄估计显示,随着时间的推移,与个体实际年龄的相关性较弱. 磁共振成像 (MRI) 采集参数,如场强度,可以引入偏差,影响临床应用.
科学领域:
- 神经成像是一种神经成像.
- 放射学 放射学是一门学科.
- 生物标志物 生物标志物
背景情况:
- 从磁共振成像 (MRI) 获得的大脑年龄,作为一般健康指标.
- 需要进一步验证其临床应用.
- 这项研究研究了大脑年龄的稳定性和影响因素.
研究的目的:
- 为了评估大脑年龄预测在个人随着时间的推移一致性.
- 为了确定MRI采集参数对大脑年龄的影响.
- 用年龄相匹配的健康对照来验证发现.
主要方法:
- 利用来自四个个人的密集采样T1加权MRI数据.
- 采用预训练的深度学习模型来预测大脑年龄.
- 用两个横截面数据集验证结果.
主要成果:
- 观察到时间表年龄和预测的大脑年龄之间的小主体内相关性.
- 确定磁共振成像 (MRI) 场强度对大脑年龄有显著影响.
- 发现扫描质量对大脑年龄预测有不确定的影响.
结论:
- 模型偏差,训练数据特征和获取参数 (如场强度) 可能解释纵向年龄-大脑年龄关系较弱.
- 对大脑年龄模型的临床使用需要仔细考虑数据采集变异性,以避免偏差.
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