FMRIB Centre, Department of Clinical Neurology, University of Oxford, Oxford, UK.
NMR Biomed. 2011 Jan;24(1):25-34. doi: 10.1002/nbm.1552. Epub 2010 Dec 3.
The characterisation of the extravascular (EV) contribution to the blood oxygenation level-dependent (BOLD) effect is important for understanding the spatial specificity of BOLD contrast and for modelling approaches that aim to extract quantitative metabolic parameters from the BOLD signal. Using bipolar crusher gradients, total (b = 0 s/mm(2) ) and predominantly EV (b = 100 s/mm(2) ) gradient echo BOLD ΔR(2)* and signal changes (ΔS/S) in response to visual stimulation (flashing checkerboard; f = 8 Hz) were investigated sequentially (within < 3 h) at 1.5, 3.0 and 7.0 T in the same subgroup of healthy volunteers (n = 7) and at identical spatial resolutions (3.5 × 3.5 × 3.5 mm(3)). Total ΔR(2)* (z-score analysis) values were -0.61 ± 0.10 s(-1) (1.5 T), -0.74 ± 0.05 s(-1) (3.0 T) and -1.37 ± 0.12 s(-1) (7.0 T), whereas EV ΔR(2)* values were -0.28 ± 0.07 s(-1) (1.5 T), -0.52 ± 0.07 s(-1) (3.0 T) and -1.25 ± 0.11 s(-1) (7.0 T). Although EV ΔR(2)* increased linearly with field, as expected, it was found that EV ΔS/S increased less than linearly with field in a manner that varied with TE choice. Furthermore, unlike ΔR(2), total and EV ΔS/S did not converge at 7.0 T. These trends were similar whether a z-score analysis or occipital lobe-based region-of-interest approach was used for voxel selection. These findings suggest that calibrated BOLD approaches may benefit from an EV ΔR(2) measurement as opposed to a ΔS/S measurement at a single TE.
血管外(EV)对血氧水平依赖(BOLD)效应的贡献特征对于理解 BOLD 对比的空间特异性以及旨在从 BOLD 信号中提取定量代谢参数的建模方法非常重要。本研究使用双极破碎机梯度,在相同的健康志愿者亚组(n=7)中,在 1.5、3.0 和 7.0 T 下,以相同的空间分辨率(3.5×3.5×3.5 mm3),依次(<3 h 内)研究了视觉刺激(闪烁棋盘;f=8 Hz)下总(b=0 s/mm2)和主要 EV(b=100 s/mm2)梯度回波 BOLD ΔR2和信号变化(ΔS/S)。总 ΔR2(z 分数分析)值分别为-0.61±0.10 s-1(1.5 T)、-0.74±0.05 s-1(3.0 T)和-1.37±0.12 s-1(7.0 T),而 EV ΔR2值分别为-0.28±0.07 s-1(1.5 T)、-0.52±0.07 s-1(3.0 T)和-1.25±0.11 s-1(7.0 T)。尽管 EV ΔR2随着场的增加呈线性增加,但研究发现,EV ΔS/S 的增加与场的增加不成线性关系,且这种关系因 TE 选择而异。此外,与 ΔR2不同,总 ΔS/S 和 EV ΔS/S 并未在 7.0 T 时收敛。无论使用 z 分数分析还是基于枕叶 ROI 的方法进行体素选择,这些趋势都是相似的。这些发现表明,与在单个 TE 处进行 ΔS/S 测量相比,校准的 BOLD 方法可能受益于 EV ΔR2测量。