How processing choices effect repeatability in BOLD–CVR imaging

Gustav Magnusson

doi:10.1177/0271678x261420026

2026-04-11

PRE

Gustav Magnusson

Alex A. Bhogal

Charalampos Georgiopoulos

DOI：10.1177/0271678x261420026

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摘要

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脑血管反应性（CVR）作为有价值的临床生物标志物正日益受到重视，其准确可靠的量化至关重要，尤其是在缺乏金标准参考的情况下。然而，CVR数据的获取和处理均受到多种方法学因素的影响，包括成像技术、序列参数、血管范式及数据处理策略。这些复杂性对于新手而言可能令人望而生畏，并阻碍不同研究间的方法学一致性。为支持新手和有经验的科研人员，我们系统评估了不同处理策略如何影响CVR图的可重复性（通过空间组内相关系数量化），并考察了多种血管范式。24名健康志愿者接受了CO₂吸入、屏气及静息态范式下的BOLD-CVR成像，每种范式均在测试-重测设置中重复进行。我们发现，最佳处理选择因范式而异，且相互作用复杂。例如，运动伪影的包含及时间滤波的应用需谨慎考虑，因为它们可能引入回归模型中的显著共线性并降低可重复性。我们将这些发现总结为实用见解，以指导研究人员做出合理的方法学选择，并促进领域内的研究一致性。

期刊

Journal of Cerebral Blood Flow and Metabolism

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4.5

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5.9K

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2.1W

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Linkoping University

学者数:

1.6W

论文数: 1.5W

被引数: 184

university medical center utrecht

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1.9K

论文数: 778

被引数: 0

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