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A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the

Jay S Coggan¹, Corrado Calì², Daniel Keller¹

¹Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.

Frontiers in Neuroscience

|October 16, 2018

Summary

Understanding the brain requires integrating structure and function. This study reconstructs a brain energy management system (neuro-glio-vasculature ensemble) and models its biochemical processes for biological computation.

Keywords:

3D reconstruction NGV electron microscopy energy metabolism in silico visualization simulation

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Area of Science:

Neuroscience
Computational Biology
Biophysics

Background:

Brain function relies on integrated structure and function for biological computation.
Biologically realistic models necessitate recreating cellular architecture for biochemical reactions.
Energy supply management is crucial for brain function, involving neurons, astrocytes, and blood vessels.

Purpose of the Study:

To develop a process for reconstructing functional cellular assemblies responsible for brain energy management.
To create a computational model of the biochemical and biophysical processes involved in brain energy supply.
To demonstrate a framework for integrating multimodal cellular data for any biological system.

Main Methods:

Utilizing digital reconstructions of electron micrographs to recreate ultrastructure.
Employing advanced data analysis tools and computational simulations.
Integrating state-of-the-art techniques including in silico visualization software.

Main Results:

Successfully reconstructed a functional oligocellular assembly for brain energy supply management.
Developed a computational model of the associated biochemical and biophysical energy flow processes.
Demonstrated the process with the neuro-glio-vasculature ensemble (NGV), applicable to other cellular systems.

Conclusions:

Integrated exploration of structure and function is essential for understanding the brain.
The developed process enables the creation of biologically realistic models of cellular systems.
This framework facilitates the integration of multimodal data for comprehensive cellular system analysis.