PT  - JOURNAL ARTICLE
AU  - Kanari, Lida
AU  - Dictus, Hugo
AU  - Chalimourda, Athanassia
AU  - Van Geit, Werner
AU  - Coste, Benoit
AU  - Shillcock, Julian
AU  - Hess, Kathryn
AU  - Markram, Henry
TI  - Computational synthesis of cortical dendritic morphologies
AID  - 10.1101/2020.04.15.040410
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.04.15.040410
4099  - http://biorxiv.org/content/early/2020/04/17/2020.04.15.040410.short
4100  - http://biorxiv.org/content/early/2020/04/17/2020.04.15.040410.full
AB  - Neuronal morphologies provide the foundation for the electrical behavior of neurons, the connectomes they form, and the dynamical properties of the brain. Comprehensive neuron models are essential for defining cell types, discerning their functional roles and investigating structural alterations associated with diseased brain states. Recently, we introduced a topological descriptor that reliably categorizes dendritic morphologies. We apply this descriptor to digitally synthesize dendrites to address the challenge of insufficient biological reconstructions. The synthesized cortical dendrites are statistically indistinguishable from the corresponding reconstructed dendrites in terms of morpho-electrical properties and connectivity. This topology-guided synthesis enables the rapid digital reconstruction of entire brain regions from relatively few reference cells, thereby allowing the investigation of links between neuronal morphologies and brain function across different spatio-temporal scales. We synthesized cortical networks based on structural alterations of dendrites associated with medical conditions and revealed principles linking branching properties to the structure of large-scale networks.Graphical abstractA topological model of neuronal shapes is used to investigate the link between the branching patterns of dendritic morphologies and the connectivity of the neuronal networks they form. Starting from reconstructed cells (in black) of cortical dendrites, we extract the topological barcode that is used to create a statistically similar synthesized pyramidal cell (in red), and respectively a group of pyramidal cells of the same morphological type. From reconstructed cells examples of all layers and morphological types we generate synthesized dendrites and build a synthesized cortical column (colors corresponds to cortical layers). The synthesized dedrites are statistically similar to the reconstructed dendrites in terms of morpho-electrical properties and the connectome of the synthesized column (colored connectome) is almost indistinguishable from the connectome of the reconstructed column (greyscale).Competing Interest StatementThe authors have declared no competing interest.