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A single-cell-resolution mathematical model of the CA1 human hippocampus

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We present a computational method to generate a single-cell-resolution model of human brain regions starting from microscopy images. The developed method has been benchmarked to reconstruct the CA1 region of a right human hippocampus, including anatomical cell organization, connectivity, and network activity.

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Fig. 1: Model generation from microscopy images.

References

  1. Bjornsson, B. & Hernandez-Boussard, T. Digital twins for predictive oncology will be a paradigm shift for precision cancer care. Nat. Med. 27, 2065–2066 (2021). This paper reports how digital twins can be efficiently adopted in clinical oncology.

    Article  Google Scholar 

  2. DeKraker, J. et al. Hippocampal subfields revealed through unfolding and unsupervised clustering of laminar and morphological features in 3D BigBrain. Neuroimage. 206, 116328–116340 (2020). This paper reports the labeling of hippocampal subregions in images from the BigBrain dataset.

    Article  Google Scholar 

  3. Gandolfi, D. et al. A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits. Sci Rep. 12, 13864–13881 (2022). This paper reports the development of a model of mouse CA1 hippocampus.

    Article  Google Scholar 

  4. Tsodyks, M. V. & Markram, H. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc. Natl Acad. Sci. USA 94, 719–723 (1997). This paper describes the modeling of synapses with short plasticity dynamics.

    Article  Google Scholar 

  5. Wang, H. E. Delineating epileptogenic networks using brain imaging data and personalized modelling in drug resistant epilepsy. Sci Transl. Med 15, 680 (2023). This paper reports the prediction of surgical performance by a model based on The Virtual Brain.

    Article  Google Scholar 

Download references

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This is a summary of: Gandolfi, D. et al. Full-scale scaffold model of the human hippocampus CA1 area. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00417-2 (2023).

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A single-cell-resolution mathematical model of the CA1 human hippocampus. Nat Comput Sci 3, 196–197 (2023). https://doi.org/10.1038/s43588-023-00421-6

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  • DOI: https://doi.org/10.1038/s43588-023-00421-6

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