在静止状态下模拟静脉偏差功能性MRI指标
Julia Huck1,2, Anna-Thekla Jäger3,4, Uta Schneider3
1Department of Physics, Concordia University, Montreal, Quebec, Canada.
Human brain mapping
|July 27, 2023
概括
休息状态功能性MRI (fMRI) 信号受到静脉排水的影响. 这项研究量化了常见的fMRI指标中的静脉偏差,发现它是有限的和可纠正的,确保更准确的脑连接分析.
科学领域:
- 神经成像是一种神经成像.
- 生物物理学的生物物理.
- 功能连接分析 功能连接分析
背景情况:
- 休息状态功能磁共振成像 (fMRI) 从血液氧气水平依赖 (BOLD) 信号波动推断大脑连接.
- BOLD信号对静脉血液敏感,可能会在连接性测量中引入偏差.
- 这种静脉偏差在常见的静止状态fMRI指标上的程度和性质在很大程度上是未知的.
研究的目的:
- 调查和量化静脉结构对常见的局部静止状态fMRI指标的影响.
- 为了确定静脉大小和近距离如何影响BOLD信号波动,并推导出连接性措施.
- 开发模型来纠正 rsfMRI 数据中的系统静脉偏差.
主要方法:
- 使用高分辨率定量易感性映射识别脑静脉.
- 应用生物物理模型来模拟和评估静脉偏差效应.
- 对静脉直径和距离对低频波动幅度 (ALFF),分数ALFF (fALFF),赫斯特指数 (HE),区域均性 (ReHo) 和自身向量中心性的影响进行评估.
主要成果:
- rsfMRI指标显示较小静脉附近的值较高,随着静脉直径的增加而下降.
- 与较大的静脉相关的指标表明,随着距离的增加,数值下降.
- ALFF和ReHo对静脉偏差最容易受到影响,而HE和fALFF对静脉偏差最少. 总体偏差在voxel-wise数据中是有限的.
结论:
- 静脉结构在rsfMRI指标中引入了系统偏差,随着静脉大小和接近而变化.
- 虽然存在,但静脉偏差并不是 voxel-wise rsfMRI 数据中信号对比的主要来源.
- 开发的生物物理模型提供了一种纠正静脉偏差的方法,提高了静止状态fMRI分析的准确性.
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