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Fig. 5 | BMC Systems Biology

Fig. 5

From: High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology

Fig. 5

Simulating Escape from Pathological Dysfunction. Monte Carlo simulations of Markov Chains models tuned to the migration probabilities in each State Transition Matrix showing the expected evolution in time in the probability of continuing to occupy the pathological regime (red line) versus occupying the Healthy regime (blue line) assuming 5% random biological noise. Under conditions of persistent stress (b) any potential escape from pathological dysfunction is delayed (dotted vertical) compared to an unperturbed resting state (a). Conversely, with the introduction of a therapeutic blockade of R, a spontaneous escape from HPA dysregulation is virtually instantaneous (c). Time is plotted on an arbitrary scale and is measured in iterations

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