Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing
Abstract Astrocytes form extensive networks with diverse calcium activity, yet the organization and connectivity of these networks across brain regions remain largely unknown. To address this, we developed AstroNet, a data-driven algorithm that uses two-photon calcium imaging to map temporal correla...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-024-07390-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832585443580837888 |
|---|---|
| author | L. Zonca F. C. Bellier G. Milior P. Aymard J. Visser A. Rancillac N. Rouach D. Holcman |
| author_facet | L. Zonca F. C. Bellier G. Milior P. Aymard J. Visser A. Rancillac N. Rouach D. Holcman |
| author_sort | L. Zonca |
| collection | DOAJ |
| description | Abstract Astrocytes form extensive networks with diverse calcium activity, yet the organization and connectivity of these networks across brain regions remain largely unknown. To address this, we developed AstroNet, a data-driven algorithm that uses two-photon calcium imaging to map temporal correlations in astrocyte activation. By organizing individual astrocyte activation events chronologically, our method reconstructs functional networks and extracts local astrocyte correlations. We create a graph of the astrocyte network by tallying direct co-activations between pairs of cells along these activation pathways. Applied to the CA1 hippocampus and motor cortex, AstroNet reveals notable differences: astrocytes in the hippocampus display stronger connectivity, while cortical astrocytes form sparser networks. In both regions, smaller, tightly connected sub-networks are embedded within a larger, loosely connected structure. This method not only identifies astrocyte activation paths and connectivity but also reveals distinct, region-specific network patterns, providing new insights into the functional organization of astrocytic networks in the brain. |
| format | Article |
| id | doaj-art-a17a6ce8e4ab476a84fda332a14fb2eb |
| institution | Kabale University |
| issn | 2399-3642 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj-art-a17a6ce8e4ab476a84fda332a14fb2eb2025-01-26T12:48:02ZengNature PortfolioCommunications Biology2399-36422025-01-018111310.1038/s42003-024-07390-0Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processingL. Zonca0F. C. Bellier1G. Milior2P. Aymard3J. Visser4A. Rancillac5N. Rouach6D. Holcman7Applied Mathematics and Computational Biology, IBENS, Ecole Normale Supérieure, PSL UniversityNeuroglial Interactions in Cerebral Physiology and Pathologies, Center for Interdisciplinary Research in Biology, Collège de FranceNeuroglial Interactions in Cerebral Physiology and Pathologies, Center for Interdisciplinary Research in Biology, Collège de FranceApplied Mathematics and Computational Biology, IBENS, Ecole Normale Supérieure, PSL UniversityNeuroglial Interactions in Cerebral Physiology and Pathologies, Center for Interdisciplinary Research in Biology, Collège de FranceNeuroglial Interactions in Cerebral Physiology and Pathologies, Center for Interdisciplinary Research in Biology, Collège de FranceNeuroglial Interactions in Cerebral Physiology and Pathologies, Center for Interdisciplinary Research in Biology, Collège de FranceApplied Mathematics and Computational Biology, IBENS, Ecole Normale Supérieure, PSL UniversityAbstract Astrocytes form extensive networks with diverse calcium activity, yet the organization and connectivity of these networks across brain regions remain largely unknown. To address this, we developed AstroNet, a data-driven algorithm that uses two-photon calcium imaging to map temporal correlations in astrocyte activation. By organizing individual astrocyte activation events chronologically, our method reconstructs functional networks and extracts local astrocyte correlations. We create a graph of the astrocyte network by tallying direct co-activations between pairs of cells along these activation pathways. Applied to the CA1 hippocampus and motor cortex, AstroNet reveals notable differences: astrocytes in the hippocampus display stronger connectivity, while cortical astrocytes form sparser networks. In both regions, smaller, tightly connected sub-networks are embedded within a larger, loosely connected structure. This method not only identifies astrocyte activation paths and connectivity but also reveals distinct, region-specific network patterns, providing new insights into the functional organization of astrocytic networks in the brain.https://doi.org/10.1038/s42003-024-07390-0 |
| spellingShingle | L. Zonca F. C. Bellier G. Milior P. Aymard J. Visser A. Rancillac N. Rouach D. Holcman Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing Communications Biology |
| title | Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing |
| title_full | Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing |
| title_fullStr | Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing |
| title_full_unstemmed | Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing |
| title_short | Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing |
| title_sort | unveiling the functional connectivity of astrocytic networks with astronet a graph reconstruction algorithm coupled to image processing |
| url | https://doi.org/10.1038/s42003-024-07390-0 |
| work_keys_str_mv | AT lzonca unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing AT fcbellier unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing AT gmilior unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing AT paymard unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing AT jvisser unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing AT arancillac unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing AT nrouach unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing AT dholcman unveilingthefunctionalconnectivityofastrocyticnetworkswithastronetagraphreconstructionalgorithmcoupledtoimageprocessing |