在3T时通过依赖于层的fMRI与排水静脉抑制实现全大脑层特定功能连接的映射
Wei-Tang Chang1,2,3, Weili Lin1,2, Kelly S Giovanello1,4
1Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, NC, USA.
bioRxiv : the preprint server for biology
|November 14, 2023
概括
这项研究引入了速度取消 (VN) 功能性MRI (fMRI) 来映射大脑层特定的功能连接. 这种新方法实现了高分辨率和大脑范围的覆盖,揭示了在皮质层之间独特的连接模式.
科学领域:
- 神经成像是一种神经成像.
- 系统神经科学 系统神经科学
- 磁共振成像技术 磁共振成像技术
背景情况:
- 使用功能磁共振成像 (fMRI) 调查层特异性功能连接 (FC) 对于理解大脑功能至关重要,但面临技术挑战.
- 基于梯度回声 (GE) 的现有回声平面成像 (EPI) 方法受到排水静脉污染的影响,限制了空间特异性和准确性.
研究的目的:
- 开发和验证一种新的速度取消 (VN) fMRI 序列,用于高分辨率,大脑全层特定的 FC 映射.
- 克服传统fMRI的局限性,包括血管污染和空间/时间分辨率不足.
主要方法:
- 在GE-BOLD fMRI序列中集成速度取消 (VN) 梯度,以抑制来自快速流动血液的信号.
- 使用了3T GE-EPI序列,具有相位回归,同时多切片 (SMS) 加速和NORDIC PCA无声化,以增强空间覆盖和信号灵敏度.
- 通过基于任务的fMRI实现了0.9毫米的同位素分辨率,4秒的TR和大脑范围的覆盖,使用基于任务的fMRI优化了VN梯度强度.
主要成果:
- 在初级运动皮质 (M1) 中使用静止状态数据验证了层特异性FC,在表面和深层皮质层中显示出明显的连接模式.
- 在初级感官皮层 (S1) 中以种子为基础的分析证实了该方法的可靠性 (S1).
- 全脑层依赖的FC分析与现有文献一致,证实了VN fMRI的疗效.
结论:
- 开发的VN fMRI技术使得可靠的,层特定的FC映射具有亚毫米分辨率和大脑全覆盖在3T.
- 这一进步为神经科学研究提供了一个强大的工具,利用广泛可用的3T扫描仪.
- VN fMRI显著提高了研究高空间特异性的皮质电路的能力.
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