Allometric rules for mammalian cortical layer 5 neuron biophysics

Lou Beaulieu-Laroche, Norma J. Brown, Marissa Hansen, Enrique H. S. Toloza, Jitendra Sharma, Ziv M. Williams, Matthew P. Frosch, Garth Rees Cosgrove, Sydney S. Cash and Mark T. Harnett ()
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Lou Beaulieu-Laroche: Massachusetts Institute of Technology
Norma J. Brown: Massachusetts Institute of Technology
Marissa Hansen: Massachusetts Institute of Technology
Enrique H. S. Toloza: Massachusetts Institute of Technology
Jitendra Sharma: Massachusetts Institute of Technology
Ziv M. Williams: Massachusetts General Hospital
Matthew P. Frosch: Massachusetts General Hospital
Garth Rees Cosgrove: Brigham and Women’s Hospital
Sydney S. Cash: Harvard Medical School and Massachusetts General Hospital
Mark T. Harnett: Massachusetts Institute of Technology

Nature, 2021, vol. 600, issue 7888, 274-278

Abstract: Abstract The biophysical properties of neurons are the foundation for computation in the brain. Neuronal size is a key determinant of single neuron input–output features and varies substantially across species1–3. However, it is unknown whether different species adapt neuronal properties to conserve how single neurons process information4–7. Here we characterize layer 5 cortical pyramidal neurons across 10 mammalian species to identify the allometric relationships that govern how neuronal biophysics change with cell size. In 9 of the 10 species, we observe conserved rules that control the conductance of voltage-gated potassium and HCN channels. Species with larger neurons, and therefore a decreased surface-to-volume ratio, exhibit higher membrane ionic conductances. This relationship produces a conserved conductance per unit brain volume. These size-dependent rules result in large but predictable changes in somatic and dendritic integrative properties. Human neurons do not follow these allometric relationships, exhibiting much lower voltage-gated potassium and HCN conductances. Together, our results in layer 5 neurons identify conserved evolutionary principles for neuronal biophysics in mammals as well as notable features of the human cortex.

Date: 2021
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DOI: 10.1038/s41586-021-04072-3

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