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Generating brain-wide connectome using synthetic axonal morphologies

Author

Listed:
  • Remy Petkantchin

    (Blue Brain Project, EPFL)

  • Adrien Berchet

    (Blue Brain Project, EPFL)

  • Hanchuan Peng

    (Fudan University
    Fudan University)

  • Henry Markram

    (Blue Brain Project, EPFL)

  • Lida Kanari

    (Blue Brain Project, EPFL)

Abstract

Recent experimental advancements, including electron microscopy reconstructions, have produced detailed connectivity data for local brain regions. On the other hand, for inter-regional connectivity, large-scale imaging techniques such as MRI are best suited to provide insights. However, understanding the relationship between local and long-range connectivity is essential for studying both healthy and pathological conditions of the brain. Leveraging a dataset of whole-brain axonal reconstructions, we present a technique to predict whole-brain connectivity at single cell level for pyramidal cells in the cortex by generating detailed whole-brain axonal morphologies from sparse experimental data. The computationally generated axons accurately reproduce the local and global morphological properties of experimental reconstructions. Furthermore, the computationally synthesized axons generate large-scale inter-regional connectivity, defining the projectome and the connectome of the brain, thereby enabling the in silico experimentation of large brain regions.

Suggested Citation

  • Remy Petkantchin & Adrien Berchet & Hanchuan Peng & Henry Markram & Lida Kanari, 2025. "Generating brain-wide connectome using synthetic axonal morphologies," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62030-3
    DOI: 10.1038/s41467-025-62030-3
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