fMRIPrep寿命:扩展功能性MRI预处理到发育神经成像的强大管道
Mathias Goncalves1, Julia Moser2, Thomas J Madison2
1Department of Psychology, Stanford University, Stanford, CA, USA.
bioRxiv : the preprint server for biology
|June 4, 2025
概括
fMRIPrep Lifespan延长了婴儿和幼儿的标准化MRI处理. 这种新工具确保了从出生到老年可重复的功能性MRI研究.
科学领域:
- 神经成像是一种神经成像.
- 发育神经科学的发展神经科学.
- 计算神经科学是一种神经科学.
背景情况:
- 标准化的预处理工作流对于神经成像研究的可复制性和数据共享至关重要.
- 像fMRIPrep这样的现有工具在处理生命早期的MRI数据方面是有限的,这阻碍了寿命研究.
- 弥合这一差距对于理解大脑发育和衰老至关重要.
研究的目的:
- 介绍fMRIPrep Lifespan,这是fMRIPrep的延伸,用于全面的,寿命长的神经成像数据预处理.
- 实现新生儿,婴儿和幼儿结构和功能MRI数据的标准化处理.
- 增强NiPreps套件,使其在整个人类寿命中具有更广泛的适用性.
主要方法:
- 集成的NiBabies工作流程用于早期的MRI数据与上游NiPreps增强.
- 集成的多回声数据处理和模块化工作流组件.
- 确保处理与已建立的管道 (如ABCD-BIDS和HCP管道) 的融合.
主要成果:
- 使用Baby Connectome项目数据 (年龄1-43个月) 证明了fMRIPrep Lifespan的高质量预处理输出.
- 在广泛的发育年龄范围内验证了该工具的有效性.
- 确认产生了强大且可重复的功能性MRI数据.
结论:
- fMRIPrep Lifespan成功地将标准化MRI预处理从婴儿期延长到衰老期.
- 该工具的可扩展和模块化设计确保了未来寿命神经成像研究的适应性.
- fMRIPrep Lifespan为所有年龄段的可重现功能性MRI研究提供了一个强大的框架.
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