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  The impact of neuron morphology on cortical network architecture

Udvary, D., Harth, P., Macke, J. H., Hege, H.-C., de Kock, C. P. J., Sakmann, B., et al. (2022). The impact of neuron morphology on cortical network architecture. Cell Reports, 39(2): 110677. doi:10.1016/j.celrep.2022.110677.

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Udvary, Daniel, Author
Harth, Philipp, Author
Macke, Jakob H., Author
Hege, Hans-Christian, Author
de Kock, Christiaan P. J., Author
Sakmann, Bert1, Author           
Oberlaender, Marcel, Author
Affiliations:
1Emeritus Group: Cortical Column in silico / Sakmann, MPI of Neurobiology, Max Planck Society, ou_1113549              

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 Abstract: The neurons in the cerebral cortex are not randomly interconnected. This specificity in wiring can result from synapse formation mechanisms that connect neurons, depending on their electrical activity and genetically defined identity. Here, we report that the morphological properties of the neurons provide an additional prominent source by which wiring specificity emerges in cortical networks. This morphologically determined wiring specificity reflects similarities between the neurons' axo-dendritic projections patterns, the packing density, and the cellular diversity of the neuropil. The higher these three factors are, the more recurrent is the topology of the network. Conversely, the lower these factors are, the more feedforward is the network's topology. These principles predict the empirically observed occurrences of clusters of synapses, cell type-specific connectivity patterns, and nonrandom network motifs. Thus, we demonstrate that wiring specificity emerges in the cerebral cortex at subcellular, cellular, and network scales from the specific morphological properties of its neuronal constituents.

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 Dates: 2022-04-12
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1016/j.celrep.2022.110677
Other: MEDLINE:35417720
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Title: Cell Reports
Source Genre: Journal
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Publ. Info: Maryland Heights, MO : Cell Press
Pages: - Volume / Issue: 39 (2) Sequence Number: 110677 Start / End Page: - Identifier: ISSN: 2211-1247
CoNE: https://pure.mpg.de/cone/journals/resource/2211-1247