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Extra permeability is required to model dynamic oxygen measurements: evidence for functional recruitment?

机译:模拟动态氧气测量需要额外的渗透性:功能补充的证据?

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摘要

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.
机译:神经激活触发血液流量的快速,局部增加,从而触发氧气输送。局部耗氧量也增加,尽管与输氧的程度不同。这种“解耦”实现了许多广泛使用的功能性神经成像技术。然而,在这些条件下控制氧气运输的生理机制仍不清楚。在这里,我们使用新的数学模型探索了这一动态过程。受实验观察和先前建模的影响,我们假设毛细血管的功能募集在神经激活过程中具有重要作用。仅使用常规机制,模型预测与体内氧分压的测量结果不一致。但是,动态增加净毛细血管通透性(功能补充的简单描述)导致与数据一致的预测。在所有类型的容器中增加渗透率具有相同的效果,但是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传输模型不足以预测动态实验数据。数据和模型表明,有必要包括一种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可能在体内具有这种作用。

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