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Warm Body Temperature Facilitates Energy Efficient Cortical Action Potentials

Overview of attention for article published in PLoS Computational Biology, April 2012
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Title
Warm Body Temperature Facilitates Energy Efficient Cortical Action Potentials
Published in
PLoS Computational Biology, April 2012
DOI 10.1371/journal.pcbi.1002456
Pubmed ID
Authors

Yuguo Yu, Adam P. Hill, David A. McCormick

Abstract

The energy efficiency of neural signal transmission is important not only as a limiting factor in brain architecture, but it also influences the interpretation of functional brain imaging signals. Action potential generation in mammalian, versus invertebrate, axons is remarkably energy efficient. Here we demonstrate that this increase in energy efficiency is due largely to a warmer body temperature. Increases in temperature result in an exponential increase in energy efficiency for single action potentials by increasing the rate of Na(+) channel inactivation, resulting in a marked reduction in overlap of the inward Na(+), and outward K(+), currents and a shortening of action potential duration. This increase in single spike efficiency is, however, counterbalanced by a temperature-dependent decrease in the amplitude and duration of the spike afterhyperpolarization, resulting in a nonlinear increase in the spike firing rate, particularly at temperatures above approximately 35°C. Interestingly, the total energy cost, as measured by the multiplication of total Na(+) entry per spike and average firing rate in response to a constant input, reaches a global minimum between 37-42°C. Our results indicate that increases in temperature result in an unexpected increase in energy efficiency, especially near normal body temperature, thus allowing the brain to utilize an energy efficient neural code.

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Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
France 2 1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
Spain 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 129 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 21%
Student > Bachelor 23 17%
Researcher 21 15%
Student > Master 13 9%
Professor 8 6%
Other 19 14%
Unknown 25 18%
Readers by discipline Count As %
Neuroscience 28 20%
Agricultural and Biological Sciences 19 14%
Engineering 15 11%
Medicine and Dentistry 14 10%
Biochemistry, Genetics and Molecular Biology 11 8%
Other 22 16%
Unknown 29 21%