Creative Destruction: A Basic Computational Model of Cortical Layer Formation

Author:

Bauer Roman1ORCID,Clowry Gavin J2ORCID,Kaiser Marcus345ORCID

Affiliation:

1. Department of Computer Science, University of Surrey, Guildford, GU2 7XH, UK

2. Biosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK

3. School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK

4. Precision Imaging Beacon, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK

5. Rui Jin Hospital, Shanghai Jiao Tong University, Shanghai 200025, China

Abstract

Abstract One of the most characteristic properties of many vertebrate neural systems is the layered organization of different cell types. This cytoarchitecture exists in the cortex, the retina, the hippocampus, and many other parts of the central nervous system. The developmental mechanisms of neural layer formation have been subject to substantial experimental efforts. Here, we provide a general computational model for cortical layer formation in 3D physical space. We show that this multiscale, agent-based model, comprising two distinct stages of apoptosis, can account for the wide range of neuronal numbers encountered in different cortical areas and species. Our results demonstrate the phenotypic richness of a basic state diagram structure. Importantly, apoptosis allows for changing the thickness of one layer without automatically affecting other layers. Therefore, apoptosis increases the flexibility for evolutionary change in layer architecture. Notably, slightly changed gene regulatory dynamics recapitulate the characteristic properties observed in neurodevelopmental diseases. Overall, we propose a novel computational model using gene-type rules, exhibiting many characteristics of normal and pathological cortical development.

Funder

Engineering and Physical Sciences Research Council

Medical Research Council

EPSRC

Wellcome Trust

MRC

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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