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Living Neural Networks: Dynamic Network Analysis of Developing Neural Progenitor Cells

Arun S. Mahadevan, Nicolas E. Grandel, Jacob T. Robinson, Amina A. Qutub
doi: https://doi.org/10.1101/055533
Arun S. Mahadevan
1Department of Bioengineering
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Nicolas E. Grandel
3Stanford University, California 94305
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Jacob T. Robinson
1Department of Bioengineering
2Department of Electrical and Computer Engineering, Rice University, Houston, Texas, 77005, U.S.A
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Amina A. Qutub
1Department of Bioengineering
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ABSTRACT

The architecture of the mammalian brain has been characterized through decades of innovation in the field of network neuroscience. However, the assembly of the brain from progenitor cells is an immensely complex process, and a quantitative understanding of how neural progenitor cells (NPCs) form neural networks has proven elusive. Here, we introduce a method that integrates graph-theory with long-term imaging of differentiating human NPCs to characterize the evolution of spatial and functional network features in NPCs during the formation of neuronal networks in vitro. We find that the rise and fall in spatial network efficiency is a characteristic feature of the transition from immature NPC networks to mature neuronal networks. Furthermore, networks at intermediate stages of differentiation that display high spatial network efficiency also show high levels of network-wide spontaneous electrical activity. These results support the view that network-wide signaling in immature progenitor cells gives way to a hierarchical form of communication in mature neural networks. The Living Neural Networks method bridges the gap between developmental neurobiology and network neuroscience, and offers insight into the relationship between developing and mature neuronal networks.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 25, 2017.
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Living Neural Networks: Dynamic Network Analysis of Developing Neural Progenitor Cells
Arun S. Mahadevan, Nicolas E. Grandel, Jacob T. Robinson, Amina A. Qutub
bioRxiv 055533; doi: https://doi.org/10.1101/055533
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Living Neural Networks: Dynamic Network Analysis of Developing Neural Progenitor Cells
Arun S. Mahadevan, Nicolas E. Grandel, Jacob T. Robinson, Amina A. Qutub
bioRxiv 055533; doi: https://doi.org/10.1101/055533

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