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@ARTICLE{Groden:268513,
      author       = {Groden, Moritz and Moessinger, Hannah M and Schaffran,
                      Barbara and DeFelipe, Javier and Benavides-Piccione, Ruth
                      and Cuntz, Hermann and Jedlicka, Peter},
      title        = {{A} biologically inspired repair mechanism for neuronal
                      reconstructions with a focus on human dendrites.},
      journal      = {PLoS Computational Biology},
      volume       = {20},
      number       = {2},
      issn         = {1553-734X},
      address      = {San Francisco, Calif.},
      publisher    = {Public Library of Science},
      reportid     = {DZNE-2024-00259},
      pages        = {e1011267},
      year         = {2024},
      abstract     = {Investigating and modelling the functionality of human
                      neurons remains challenging due to the technical
                      limitations, resulting in scarce and incomplete 3D
                      anatomical reconstructions. Here we used a morphological
                      modelling approach based on optimal wiring to repair the
                      parts of a dendritic morphology that were lost due to
                      incomplete tissue samples. In Drosophila, where dendritic
                      regrowth has been studied experimentally using laser
                      ablation, we found that modelling the regrowth reproduced a
                      bimodal distribution between regeneration of cut branches
                      and invasion by neighbouring branches. Interestingly, our
                      repair model followed growth rules similar to those for the
                      generation of a new dendritic tree. To generalise the repair
                      algorithm from Drosophila to mammalian neurons, we
                      artificially sectioned reconstructed dendrites from mouse
                      and human hippocampal pyramidal cell morphologies, and
                      showed that the regrown dendrites were morphologically
                      similar to the original ones. Furthermore, we were able to
                      restore their electrophysiological functionality, as
                      evidenced by the recovery of their firing behaviour.
                      Importantly, we show that such repairs also apply to other
                      neuron types including hippocampal granule cells and
                      cerebellar Purkinje cells. We then extrapolated the repair
                      to incomplete human CA1 pyramidal neurons, where the
                      anatomical boundaries of the particular brain areas
                      innervated by the neurons in question were known.
                      Interestingly, the repair of incomplete human dendrites
                      helped to simulate the recently observed increased synaptic
                      thresholds for dendritic NMDA spikes in human versus mouse
                      dendrites. To make the repair tool available to the
                      neuroscience community, we have developed an intuitive and
                      simple graphical user interface (GUI), which is available in
                      the TREES toolbox (www.treestoolbox.org).},
      keywords     = {Humans / Mice / Animals / Dendrites: physiology / Neurons:
                      physiology / Pyramidal Cells: physiology / Hippocampus:
                      physiology / Drosophila / Mammals},
      cin          = {AG Bradke},
      ddc          = {610},
      cid          = {I:(DE-2719)1013002},
      pnm          = {351 - Brain Function (POF4-351)},
      pid          = {G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)16},
      pmc          = {pmc:PMC10917450},
      pubmed       = {pmid:38394339},
      doi          = {10.1371/journal.pcbi.1011267},
      url          = {https://pub.dzne.de/record/268513},
}