F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Division of MR Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Neuroimage. 2017 Feb 15;147:976-984. doi: 10.1016/j.neuroimage.2016.12.082. Epub 2016 Dec 29.
The blood-oxygenation-level-dependent (BOLD) effect reflects ensemble changes in several physiological parameters such as cerebral blood volume (CBV), blood flow (CBF), and cerebral metabolic rate of oxygen (CMRO). Quantitative BOLD approaches have been developed to estimate CMRO dynamics from BOLD, CBF and CBV responses, generally using separate scans. The ability to detect changes in these parameters in a single scan would shorten the total scan time and reduce temporal variations in physiology or neuronal responses. Here, an acquisition strategy, named 3D TRiple-acquisition after Inversion Preparation (3D-TRIP), is demonstrated for 3D acquisition of CBV, CBF, and BOLD signal changes in a single scan by incorporating VASO, FAIR-ASL and T-prepared BOLD fMRI methods. Using a visual stimulation paradigm, we demonstrate that the activation patterns, relative signal changes, temporal signal-to-noise ratio (tSNR), contrast-to-noise ratio (CNR), and estimated CMRO changes during visual stimulation are all comparable between the concurrent imaging proposed here and the separate scans conventionally applied. This approach is expected to provide a useful alternative for quantitative BOLD fMRI studies where information about oxygen metabolism alterations can be extracted from changes in hemodynamic signals associated with CBV, CBF, and blood oxygenation.
血氧水平依赖（BOLD）效应反映了几种生理参数的总体变化，如脑血容量（CBV）、血流量（CBF）和脑氧代谢率（CMRO）。定量 BOLD 方法已被开发用于从 BOLD、CBF 和 CBV 响应中估计 CMRO 动力学，通常使用单独的扫描。在单次扫描中检测这些参数变化的能力将缩短总扫描时间，并减少生理学或神经元反应中的时间变化。在这里，我们展示了一种名为 3D TRiple-acquisition after Inversion Preparation（3D-TRIP）的采集策略，该策略通过整合 VASO、FAIR-ASL 和 T 准备 BOLD fMRI 方法，在单次扫描中实现了 CBV、CBF 和 BOLD 信号变化的 3D 采集。使用视觉刺激范式，我们证明了在视觉刺激期间，所提出的并发成像和传统应用的单独扫描之间的激活模式、相对信号变化、时间信号噪声比（tSNR）、对比噪声比（CNR）和估计的 CMRO 变化都是可比的。这种方法有望为定量 BOLD fMRI 研究提供一种有用的替代方法，从中可以从与 CBV、CBF 和血氧相关的血液动力学信号变化中提取有关氧代谢改变的信息。
