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@PHDTHESIS{Tihaa:892863,
      author       = {Tihaa, Irina},
      title        = {{E}ngineering neuronal networks in vitro: {F}rom single
                      cells to population connectivity},
      volume       = {78},
      school       = {RWTH Aachen},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2021-02402},
      isbn         = {978-3-95806-597-0},
      series       = {Schriften des Forschungszentrums Jülich. Reihe Information
                      / Information},
      pages        = {viii, 242 S.},
      year         = {2021},
      note         = {RWTH Aachen, Diss., 2021},
      abstract     = {The mammalian brain shows multiple levels of organisation
                      ranging from single cell to regional organisation level.
                      Structure and function are dependent on each other. The aim
                      of this thesis is to incorporate the essential feature of
                      organisation into cultured neuronal networks via
                      microcontact printing (µCP). We do so to better understand
                      the impact of pattern geometry onto network architecture,
                      extend the $\textit{in vitro}$ models and provide more
                      relevant systems. The first part of this thesis considers
                      single cell connectivity. Grid and star pattern designs
                      featuring nodes and lines are utilized to control soma
                      position and neurite elongation. Morphological analysis via
                      immunouorescence and live cell imaging revealed a high
                      dependence of soma position and axon guiding efficiency on
                      the patterns. For soma position itself the shape, dimensions
                      and proportions of the pattern features are of great
                      importance. Calcium imaging and electrical recordings with
                      multi-electrode arrays (MEAs) proved functional connectivity
                      of the created single cell networks.In the second part,
                      triangular shaped structures were used to create modular
                      neuronal networks with differently sized populations.
                      Immunofluorescence analysis revealed a highly directional
                      structural connectivity between the populations. Calcium
                      imaging analyses demonstrated a high intra-population and a
                      weaker inter-population interconnectedness, a typical
                      feature of modularly organised networks. Moreover, synchrony
                      was observed to decrease with increasing population size
                      indicating a rise in architectural complexity. Overall, this
                      thesis illustrates the potential of µCP for designing
                      $\textit{in vitro}$ neuronal networks with micro- to
                      mesoscale level of organisation. Here, the pattern design is
                      crucial for the network architecture. A deeper understanding
                      of the impact of pattern geometry onto network formation
                      might contribute to a greater use of defined networks for
                      neurobiological experiments by enhancing efficiency and
                      predictability of patterned cultures. [...]},
      cin          = {IBI-3},
      cid          = {I:(DE-Juel1)IBI-3-20200312},
      pnm          = {524 - Molecular and Cellular Information Processing
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-524},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2022020805},
      url          = {https://juser.fz-juelich.de/record/892863},
}