Department of Radiology, Center for Functional MRI, and Kavli Institute for Brain and Mind, University of California, San Diego, La Jolla, California, CA 92093-0677, USA.
Neuroimage. 2012 Aug 15;62(2):953-61. doi: 10.1016/j.neuroimage.2012.01.012. Epub 2012 Jan 8.
This personal recollection looks at the evolution of ideas about the dynamics of the blood oxygenation level dependent (BOLD) signal, with an emphasis on the balloon model. From the first detection of the BOLD response it has been clear that the signal exhibits interesting dynamics, such as a pronounced and long-lasting post-stimulus undershoot. The BOLD response, reflecting a change in local deoxyhemoglobin, is a combination of a hemodynamic response, related to changes in blood flow and venous blood volume, and a metabolic response related to oxygen metabolism. Modeling is potentially a way to understand the complex path from changes in neural activity to the BOLD signal. In the early days of fMRI it was hoped that the hemodynamic/metabolic response could be modeled in a unitary way, with blood flow, oxygen metabolism, and venous blood volume-the physiological factors that affect local deoxyhemoglobin-all tightly linked. The balloon model was an attempt to do this, based on the physiological ideas of limited oxygen delivery at baseline and a slow recovery of venous blood volume after the stimulus (the balloon effect), and this simple model of the physiology worked well to simulate the BOLD response. However, subsequent experiments suggest a more complicated picture of the underlying physiology, with blood flow and oxygen metabolism driven in parallel, possibly by different aspects of neural activity. In addition, it is still not clear whether the post-stimulus undershoot is a hemodynamic or a metabolic phenomenon, although the original venous balloon effect is unlikely to be the full explanation, and a flow undershoot is likely to be important. Although our understanding of the physics of the BOLD response is now reasonably solid, our understanding of the underlying physiological relationships is still relatively poor, and this is the primary hurdle for future models of BOLD dynamics.
这篇个人回忆文章探讨了血氧水平依赖(BOLD)信号动力学的思想演变,重点介绍了气球模型。从首次检测到 BOLD 响应开始,就很明显信号表现出有趣的动力学特征,例如明显且持久的刺激后欠冲。BOLD 响应反映了局部脱氧血红蛋白的变化,是血流和静脉血容量变化相关的血液动力学响应,以及与氧代谢相关的代谢响应的组合。建模可能是理解从神经活动变化到 BOLD 信号这一复杂过程的一种方法。在 fMRI 的早期,人们希望能够以单一的方式对血液动力学/代谢响应进行建模,即将影响局部脱氧血红蛋白的生理因素,包括血流、氧代谢和静脉血容量,紧密联系起来。气球模型就是基于基线时氧输送有限和刺激后静脉血容量缓慢恢复的生理思想提出的一种尝试,这种简单的生理学模型很好地模拟了 BOLD 响应。然而,随后的实验表明,潜在的生理学基础更为复杂,血流和氧代谢可能是由神经活动的不同方面共同驱动的。此外,刺激后的欠冲是血流现象还是代谢现象仍不清楚,尽管最初的静脉气球效应不太可能是全部解释,而血流欠冲可能很重要。尽管我们对 BOLD 响应的物理特性的理解现在已经相当成熟,但我们对潜在生理关系的理解仍然相对较差,这是未来 BOLD 动力学模型的主要障碍。