TY - JOUR
T1 - Of mice and men
T2 - Dendritic architecture differentiates human from mouse neuronal networks
AU - Kanari, Lida
AU - Shi, Ying
AU - Arnaudon, Alexis
AU - Barros-Zulaica, Natalí
AU - Benavides-Piccione, Ruth
AU - Coggan, Jay S.
AU - DeFelipe, Javier
AU - Hess, Kathryn
AU - Mansvelder, Huib D.
AU - Mertens, Eline J.
AU - Meystre, Julie
AU - Perin, Rodrigo de Campos
AU - Pezzoli, Maurizio
AU - Daniel, Roy Thomas
AU - Stoop, Ron
AU - Segev, Idan
AU - Markram, Henry
AU - de Kock, Christiaan P.J.
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/7/18
Y1 - 2025/7/18
N2 - 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.
AB - 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.
KW - Cognitive neuroscience
KW - Neuroscience
UR - https://www.scopus.com/pages/publications/105009769762
U2 - 10.1016/j.isci.2025.112928
DO - 10.1016/j.isci.2025.112928
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C2 - 40687823
AN - SCOPUS:105009769762
SN - 2589-0042
VL - 28
JO - iScience
JF - iScience
IS - 7
M1 - 112928
ER -