ArticleCerebral cortex (New York, N.Y. : 1991)2018
Mathematical Modeling of Cortical Neurogenesis Reveals that the Founder Population does not Necessarily Scale with Neurogenic Output.
Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 30 citations in OpenAlex.
- Neuronal Circuit Evolution: From Development to Structure and Adaptive Significance.Cold Spring Harbor perspectives in biology · 2025Review
- The Principle of Cortical Development and Evolution.Neuroscience bulletin · 2025Review
- Approaches to embryonic neurodevelopment: from neural cell to neural tube formation through mathematical models.Briefings in bioinformatics · 2024Article
- ERK signaling expands mammalian cortical radial glial cells and extends the neurogenic period.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- BMP7 expression in mammalian cortical radial glial cells increases the length of the neurogenic period.Protein & cell · 2024Article
- Non-uniform temporal scaling of developmental processes in the mammalian cortex.Nature communications · 2023Article
- Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- A Connectomic Hypothesis for the Hominization of the Brain.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Length of the Neurogenic Period-A Key Determinant for the Generation of Upper-Layer Neurons During Neocortex Development and Evolution.Frontiers in cell and developmental biology · 2021Review
- A common rule governing differentiation kinetics of mouse cortical progenitors.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Population Dynamics and Neuronal Polyploidy in the Developing Neocortex.Cerebral cortex communications · 2020Article
- A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex.BMC bioinformatics · 2019Article
- New insights into the development of the human cerebral cortex.Journal of anatomy · 2019Review
- A mathematical insight into cell labelling experiments for clonal analysis.Journal of anatomy · 2019Article
- Theoretical Models of Neural Development.iScience · 2018Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
The mammalian cerebral neocortex has a unique structure, composed of layers of different neuron types, interconnected in a stereotyped fashion. While the overall developmental program seems to be conserved, there are divergent developmental factors generating cortical diversity amongst species. In terms of cortical neuronal numbers, some of the determining factors are the size of the founder population, the duration of cortical neurogenesis, the proportion of different progenitor types, and the fine-tuned balance between self-renewing and differentiative divisions. We develop a mathematical model of neurogenesis that, accounting for these factors, aims at explaining the high diversity in neuronal numbers found across species. By framing our hypotheses in rigorous mathematical terms, we are able to identify paths of neurogenesis that match experimentally observed patterns in mouse, macaque and human. Additionally, we use our model to identify key parameters that would particularly benefit from accurate experimental investigation. We find that the timing of a switch in favor of symmetric neurogenic divisions produces the highest variation in cortical neuronal numbers. Surprisingly, assuming similar cell cycle lengths in primate progenitors, the increase in cortical neuronal numbers does not reflect a larger size of founder population, a prediction that has identified a specific need for experimental quantifications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.