Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Medical Physics and Imaging, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
NMR Biomed. 2019 Mar;32(3):e4061. doi: 10.1002/nbm.4061. Epub 2019 Jan 18.
A better understanding of the coupling between changes in cerebral blood flow (CBF) and cerebral blood volume (CBV) is vital for furthering our understanding of the BOLD response. The aim of this study was to measure CBF-CBV coupling in different vascular compartments during neural activation. Three haemodynamic parameters were measured during a visual stimulus. Look-Locker flow-sensitive alternating inversion recovery was used to measure changes in CBF and arterial CBV (CBV ) using sequence parameters optimized for each contrast. Changes in total CBV (CBV ) were measured using a gadolinium-based contrast agent technique. Haemodynamic changes were extracted from a region of interest based on voxels that were activated in the CBF experiments. The CBF-CBV coupling constant α was measured as 0.16 ± 0.14 and the CBF-CBV coupling constant α was measured as 0.65 ± 0.24. Using a two-compartment model of the vasculature (arterial and venous), the change in venous CBV (CBV ) was predicted for an assumed value of baseline arterial and venous blood volume. These results will enhance the accuracy and reliability of applications that rely on models of the BOLD response, such as calibrated BOLD.
更好地理解脑血流 (CBF) 和脑血容量 (CBV) 的变化之间的耦合对于进一步了解 BOLD 反应至关重要。本研究旨在测量神经激活过程中不同血管隔室中的 CBF-CBV 偶联。在视觉刺激期间测量了三个血液动力学参数。使用针对每种对比优化的序列参数,通过 Look-Locker 流量敏感交替反转恢复来测量 CBF 和动脉 CBV (CBV) 的变化。使用基于钆的对比剂技术测量总 CBV (CBV) 的变化。从 CBF 实验中激活的体素的感兴趣区域中提取血液动力学变化。测量 CBF-CBV 耦合常数α为 0.16±0.14,测量 CBF-CBV 耦合常数α为 0.65±0.24。使用血管(动脉和静脉)的两隔室模型,对于假定的基线动脉和静脉血容量值,预测静脉 CBV (CBV) 的变化。这些结果将提高依赖于 BOLD 反应模型的应用程序的准确性和可靠性,例如校准的 BOLD。