Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks

  • Lida Kanari*
  • , Ying Shi
  • , Alexis Arnaudon
  • , Natalí Barros-Zulaica
  • , Ruth Benavides-Piccione
  • , Jay S. Coggan
  • , Javier DeFelipe
  • , Kathryn Hess
  • , Huib D. Mansvelder
  • , Eline J. Mertens
  • , Julie Meystre
  • , Rodrigo de Campos Perin
  • , Maurizio Pezzoli
  • , Roy Thomas Daniel
  • , Ron Stoop
  • , Idan Segev
  • , Henry Markram
  • , Christiaan P.J. de Kock
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The organizational principles that distinguish the human brain from other species have been a long-standing enigma in neuroscience. Focusing on the uniquely evolved human cortical layers 2 and 3, we computationally reconstruct the cortical architecture for mice and humans. Human neurons form highly complex networks demonstrated by their increased number and simplex dimension compared to mice. This is surprising because human pyramidal cells are much sparser. The number and size of neurons cannot account for this increased network complexity, suggesting that another morphological property is a key determinant of network connectivity. The topological comparison of the dendritic structure reveals higher perisomatic density in human pyramidal cells. We quantitatively show that this neuronal structural property directly impacts network complexity, including the formation of a rich subnetwork structure. Therefore, greater dendritic complexity, a defining attribute of human pyramidal cells, may provide the human cortex with enhanced computational capacity and cognitive flexibility.

Original languageEnglish
Article number112928
JournaliScience
Volume28
Issue number7
DOIs
StatePublished - 18 Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

Keywords

  • Cognitive neuroscience
  • Neuroscience

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