4.4 Article

From a Demand-Based to a Supply-Limited Framework of Brain Metabolism

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fnint.2022.818685

关键词

blood flow; brain metabolism; fMRI; neurovascular uncoupling; oxygen extraction factor; capillary density

资金

  1. Vanderbilt University
  2. NIH [R01MH109159, R01NS100106]

向作者/读者索取更多资源

Understanding the rate of energy use in the brain and its relationship to neuronal activity is a fundamental aspect of neuroscience. The prevailing theories suggest that energy supply is dynamically adjusted to meet the demands of neuronal activity. However, our alternative view suggests that regional rates of energy use are primarily constrained by energy supply, based on the properties of the brain capillary network and oxygen delivery. Our research provides evidence for similar constraints across brain regions and mammalian species, which may be rooted in fundamental physical limitations. This new framework has the potential to shed light on the metabolic support of brain function and lead to new insights into brain disease and evolutionary constraints on brain function.
What defines the rate of energy use by the brain, as well as per neurons of different sizes in different structures and animals, is one fundamental aspect of neuroscience for which much has been theorized, but very little data are available. The prevalent theories and models consider that energy supply from the vascular system to different brain regions is adjusted both dynamically and in the course of development and evolution to meet the demands of neuronal activity. In this perspective, we offer an alternative view: that regional rates of energy use might be mostly constrained by supply, given the properties of the brain capillary network, the highly stable rate of oxygen delivery to the whole brain under physiological conditions, and homeostatic constraints. We present evidence that these constraints, based on capillary density and tissue oxygen homeostasis, are similar between brain regions and mammalian species, suggesting they derive from fundamental biophysical limitations. The same constraints also determine the relationship between regional rates of brain oxygen supply and usage over the full physiological range of brain activity, from deep sleep to intense sensory stimulation, during which the apparent uncoupling of blood flow and oxygen use is still a predicted consequence of supply limitation. By carefully separating energy cost into energy supply and energy use, and doing away with the problematic concept of energetic demands, our new framework should help shine a new light on the neurovascular bases of metabolic support of brain function and brain functional imaging. We speculate that the trade-offs between functional systems and even the limitation to a single attentional spot at a time might be consequences of a strongly supply-limited brain economy. We propose that a deeper understanding of brain energy supply constraints will provide a new evolutionary understanding of constraints on brain function due to energetics; offer new diagnostic insight to disturbances of brain metabolism; lead to clear, testable predictions on the scaling of brain metabolic cost and the evolution of brains of different sizes; and open new lines of investigation into the microvascular bases of progressive cognitive loss in normal aging as well as metabolic diseases.

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