功能性脑干MRI用于评估其自主功能:从成像参数和分析到功能性地图
Abdalla Z Mohamed1, Richard Kwiatek1, Peter Del Fante1
1Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia.
Journal of magnetic resonance imaging : JMRI
|February 10, 2024
概括
优化的脑干功能成像 (FIBS) 协议显著改善了脑干功能MRI (fMRI) 数据质量. 这一进步使中枢自主神经系统 (CAN) 的分析更加稳健,并有助于开发功能性脑干图谱.
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.
- 自主神经系统研究 自主神经系统研究
背景情况:
- 大脑干是中央自主神经系统 (CAN) 的组成部分.
- 脑干功能性MRI (fMRI) 由于各种协议和分析方法而存在挑战.
研究的目的:
- 开发一个优化的fMRI协议用于脑干功能地图的创建.
- 评估和比较不同的fMRI协议和正常化技术用于脑干成像.
主要方法:
- 一项涉及十名健康受试者的前性横截面研究.
- 在3.0特斯拉扫描仪上使用三种协议 (FIBS,HCP,ABCD) 获取T1加权和fMRI扫描.
- 时间信号噪声比率 (TSNR) 的比较和使用根-平均-平方 (RMS) 误差的规范化算法 (FSL-FNIRT,SPM-DARTEL,ANTS-SyN) 的评估.
主要成果:
- 与HCP和ABCD协议相比,优化的FIBS协议显示大脑干TSNR显著更高.
- 安特斯正常化实现了最低的RMS错误,超过了FSL-FNIRT和SPM-DARTEL.
- 一组12个兴趣的脑干区域 (ROI) 被确定为Dice系数≥0.50,为功能地图谱做出了贡献.
结论:
- FIBS协议提供了比HCP和ABCD协议更强大的脑干CAN成像结果.
- 该研究确定了脑干fMRI和正常化的关键参数,促进了功能性脑干图谱的开发.
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