Multi-parametric analysis reveals metabolic and vascular effects driving differences in BOLD-based cerebrovascular reactivity associated with a history of sport concussion
Multi-parametric analysis reveals metabolic and vascular effects driving differences in BOLD-based cerebrovascular reactivity associated with a history of sport concussion
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DOI：
10.1080/02699052.2019.1644375
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发表时间：
2019-07-29
期刊：
影响因子：
1.9
通讯作者：
Cook, Douglas J.
中科院分区：
文献类型：
--
作者：
Champagne, Allen A.;Coverdale, Nicole S.;Cook, Douglas J.
目的：根据运动相关脑震荡 (SRC) 病史识别脑血管反应性 (CVR) 的变化。使用校准磁共振成像 (MRI) 建模的血流动力学参数进一步探索血管生理学差异的可能机制。方法：结合潮气末定位和双回波 MRI 来探测有 (n = 32) 和无 (n = 31) SRC 病史的运动员的高碳酸血症和高氧血症挑战。同时使用血氧水平依赖 (BOLD) 和动脉自旋标记 (ASL) 数据来计算 BOLD-CVR、ASL-CVR 和其他生理参数，包括静息氧提取分数 (OEF0) 和脑血容量 (CBV0)。然后使用多元线性和逻辑回归来确定 BOLD-CVR 中驱动组差异的主要参数。结果：在具有 SRC 病史且分布于部分皮质半球的运动员中发现了 BOLD-CVR 升高的有力证据。后续分析显示 ASL-CVR（代表脑血流调节）和代表静态血管（即 CBV0）和代谢（即 OEF0）效应的血流动力学因素存在共定位差异，这表明 BOLD-CVR 的群体差异可能是由血管和代谢来源因素的混合效应驱动的。结论：这些结果强调，虽然 BOLD-CVR 有希望作为 SRC 后脑血管健康的替代非特异性生物标志物，但多个血流动力学参数可能会影响其相对测量结果。
Objective: Identify alterations in cerebrovascular reactivity (CVR) based on the history of sport-related concussion (SRC). Further explore possible mechanisms underlying differences in vascular physiology using hemodynamic parameters modeled using calibrated magnetic resonance imaging (MRI). Method: End-tidal targeting and dual-echo MRI were combined to probe hypercapnic and hyperoxic challenges in athletes with (n = 32) and without (n = 31) a history of SRC. Concurrent blood oxygenation level dependent (BOLD) and arterial spin labeling (ASL) data were used to compute BOLD-CVR, ASL-CVR, and other physiological parameters including resting oxygen extraction fraction (OEF0) and cerebral blood volume (CBV0). Multiple linear and logistic regressions were then used to identify dominant parameters driving group-differences in BOLD-CVR. Results: Robust evidence for elevated BOLD-CVR were found in athletes with SRC history spreading over parts of the cortical hemispheres. Follow-up analyses showed co-localized differences in ASL-CVR (representing modulation of cerebral blood flow) and hemodynamic factors representing static vascular (i.e., CBV0) and metabolic (i.e., OEF0) effects suggesting that group-based differences in BOLD-CVR may be driven by a mixed effect from factors with vascular and metabolic origins. Conclusion: These results emphasize that while BOLD-CVR offers promises as a surrogate non-specific biomarker for cerebrovascular health following SRC, multiple hemodynamic parameters can affect its relative measurements.