Of mice and men: Dendritic architecture differentiates human from mice neuronal networks
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| Titel: | Of mice and men: Dendritic architecture differentiates human from mice neuronal networks |
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| Autoren: | Kanari, Lida, orcid:0000-0002-9539-, Shi, Ying, Arnaudon, Alexis, Barros Zulaica, Natali, Benavides Piccione, Ruth, Coggan, Jay S, DeFelipe, Javier, Hess, Kathryn, Mansvelder, Huib, Mertens, Eline J., Meystre, Julie, Perin, Rodrigo de Campos, Pezzoli, Maurizio, Daniel, Roy Thomas, Stoop, Ron, Segev, Idan, Markram, Henry, de Kock, Christiaan |
| Verlagsinformationen: | Zenodo |
| Publikationsjahr: | 2025 |
| Bestand: | Zenodo |
| Schlagwörter: | Human, Mouse, Topological Data Analysis, Neuronal Morphology, Artificial Intelligence, Neural Network |
| Beschreibung: | 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 fail to 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. ; Summary of Data MorphologyData Raw morphologies: the original morphology files as provided by the experimental labs, along with the respective metadata Curated morphologies: all neurons have been processed and cleaned from common mistakes. These morphologies were used for the analysis and the generation of figures for the paper. CircuitData Contains the morphologies and the atlas used in the circuits, input parameters and scripts to run the process for: Human Mouse Hybrid Results Morphometrics: morphological analysis of neurons from human and mouse. Networks: networks extracted from the generated circuits for human, mouse and hybrid models. Network Analysis : networks analysis for human, mouse and hybrid models. Scripts Python scripts to analyze the data and reproduce the figures as presented in the paper ; This study was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne ... |
| Publikationsart: | text |
| Sprache: | English |
| Relation: | https://zenodo.org/records/14258204; oai:zenodo.org:14258204; https://doi.org/10.5281/zenodo.14258204 |
| DOI: | 10.5281/zenodo.14258204 |
| Verfügbarkeit: | https://doi.org/10.5281/zenodo.14258204 https://zenodo.org/records/14258204 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Dokumentencode: | edsbas.E5E6BDA4 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | 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 fail to 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. ; Summary of Data MorphologyData Raw morphologies: the original morphology files as provided by the experimental labs, along with the respective metadata Curated morphologies: all neurons have been processed and cleaned from common mistakes. These morphologies were used for the analysis and the generation of figures for the paper. CircuitData Contains the morphologies and the atlas used in the circuits, input parameters and scripts to run the process for: Human Mouse Hybrid Results Morphometrics: morphological analysis of neurons from human and mouse. Networks: networks extracted from the generated circuits for human, mouse and hybrid models. Network Analysis : networks analysis for human, mouse and hybrid models. Scripts Python scripts to analyze the data and reproduce the figures as presented in the paper ; This study was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne ... |
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| DOI: | 10.5281/zenodo.14258204 |