Generating brain-wide connectome using synthetic axonal morphologies
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, und...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-62030-3 |
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| _version_ | 1849764671305809920 |
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| author | Remy Petkantchin Adrien Berchet Hanchuan Peng Henry Markram Lida Kanari |
| author_facet | Remy Petkantchin Adrien Berchet Hanchuan Peng Henry Markram Lida Kanari |
| author_sort | Remy Petkantchin |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c23bf25306a2433db0d94fae6d6aa729 |
| institution | DOAJ |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-c23bf25306a2433db0d94fae6d6aa7292025-08-20T03:05:05ZengNature PortfolioNature Communications2041-17232025-07-0116111110.1038/s41467-025-62030-3Generating brain-wide connectome using synthetic axonal morphologiesRemy Petkantchin0Adrien Berchet1Hanchuan Peng2Henry Markram3Lida Kanari4Blue Brain Project, EPFLBlue Brain Project, EPFLNew Cornerstone Science Laboratory, Institute for Brain and Intelligence, Fudan UniversityBlue Brain Project, EPFLBlue Brain Project, EPFLAbstract 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.https://doi.org/10.1038/s41467-025-62030-3 |
| spellingShingle | Remy Petkantchin Adrien Berchet Hanchuan Peng Henry Markram Lida Kanari Generating brain-wide connectome using synthetic axonal morphologies Nature Communications |
| title | Generating brain-wide connectome using synthetic axonal morphologies |
| title_full | Generating brain-wide connectome using synthetic axonal morphologies |
| title_fullStr | Generating brain-wide connectome using synthetic axonal morphologies |
| title_full_unstemmed | Generating brain-wide connectome using synthetic axonal morphologies |
| title_short | Generating brain-wide connectome using synthetic axonal morphologies |
| title_sort | generating brain wide connectome using synthetic axonal morphologies |
| url | https://doi.org/10.1038/s41467-025-62030-3 |
| work_keys_str_mv | AT remypetkantchin generatingbrainwideconnectomeusingsyntheticaxonalmorphologies AT adrienberchet generatingbrainwideconnectomeusingsyntheticaxonalmorphologies AT hanchuanpeng generatingbrainwideconnectomeusingsyntheticaxonalmorphologies AT henrymarkram generatingbrainwideconnectomeusingsyntheticaxonalmorphologies AT lidakanari generatingbrainwideconnectomeusingsyntheticaxonalmorphologies |