Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
J Cereb Blood Flow Metab. 2013 Sep;33(9):1402-11. doi: 10.1038/jcbfm.2013.74. Epub 2013 May 15.
Neural activation triggers a rapid, focal increase in blood flow and thus oxygen delivery. Local oxygen consumption also increases, although not to the same extent as oxygen delivery. This 'uncoupling' enables a number of widely-used functional neuroimaging techniques; however, the physiologic mechanisms that govern oxygen transport under these conditions remain unclear. Here, we explore this dynamic process using a new mathematical model. Motivated by experimental observations and previous modeling, we hypothesized that functional recruitment of capillaries has an important role during neural activation. Using conventional mechanisms alone, the model predictions were inconsistent with in vivo measurements of oxygen partial pressure. However, dynamically increasing net capillary permeability, a simple description of functional recruitment, led to predictions consistent with the data. Increasing permeability in all vessel types had the same effect, but two alternative mechanisms were unable to produce predictions consistent with the data. These results are further evidence that conventional models of oxygen transport are not sufficient to predict dynamic experimental data. The data and modeling suggest that it is necessary to include a mechanism that dynamically increases net vascular permeability. While the model cannot distinguish between the different possibilities, we speculate that functional recruitment could have this effect in vivo.
神经激活会引发血液快速、局部地增加,从而增加氧气输送。局部耗氧量也会增加,但增加幅度不如氧气输送那么大。这种“解偶联”使许多常用的功能性神经影像学技术成为可能;然而,在这些条件下支配氧气运输的生理机制仍不清楚。在这里,我们使用一种新的数学模型来探索这个动态过程。受实验观察和以前建模的启发,我们假设毛细血管的功能募集在神经激活过程中起着重要作用。仅使用传统机制,模型预测与体内氧分压的测量结果不一致。然而,动态增加净毛细血管通透性(对功能募集的简单描述)导致与数据一致的预测。增加所有血管类型的通透性具有相同的效果,但两种替代机制无法产生与数据一致的预测。这些结果进一步证明,传统的氧气运输模型不足以预测动态实验数据。数据和建模表明,有必要引入一种能够动态增加净血管通透性的机制。虽然模型无法区分不同的可能性,但我们推测,功能募集在体内可能具有这种作用。