Key result
Mathematical models, specifically Hodgkin-Huxley type and generic activator-inhibitor models, are essential tools for investigating the physiological mechanisms and spatial extent of spreading depression.
Answers are grounded in this paper and cite their sources.
This review highlights mathematical tools and computational models used to investigate the physiological mechanisms and spatial spread of spreading depression in the cortex.
Spreading depression (SD) is a wave phenomenon in gray matter tissue. Locally, it is characterized by massive redistribution of ions across cell membranes. As a consequence, there is sustained membrane depolarization and tissue polarization that depress any normal electrical activity. Despite these dramatic events, SD remains difficult to observe in humans noninvasively, which, for long, has slowed advances in this field. The growing appreciation of its clinical importance in migraine and stroke is therefore consistent with an increasing need for computational methods that tackle the complexity of the problem at multiple levels. In this review, we focus on mathematical tools to investigate the question of spread and its two complementary aspects: What are the physiological mechanisms and what is the spatial extent of SD in the cortex? This review discusses two types of models used to study these two questions, namely, Hodgkin-Huxley type and generic activator-inhibitor models, and the recent advances in techniques to link them.
No takes yet. Share an insight, caveat, or question.
Zandt et al. (2015) conducted a review in Spreading depression (migraine and stroke). Mathematical modeling (Hodgkin-Huxley and activator-inhibitor models) was evaluated. Mathematical models, specifically Hodgkin-Huxley type and generic activator-inhibitor models, are essential tools for investigating the physiological mechanisms and spatial extent of spreading depression.
Synapse has enriched 10 related papers. Consider them for comparative context: