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@ARTICLE{Daun:864317,
      author       = {Daun, Silvia and Mantziaris, Charalampos and Tóth, Tibor
                      and Büschges, Ansgar and Rosjat, Nils},
      title        = {{U}nravelling intra- and intersegmental neuronal
                      connectivity between central pattern generating networks in
                      a multi-legged locomotor system},
      journal      = {PLOS ONE},
      volume       = {14},
      number       = {8},
      issn         = {1932-6203},
      address      = {San Francisco, California, US},
      publisher    = {PLOS},
      reportid     = {FZJ-2019-04124},
      pages        = {e0220767 -},
      year         = {2019},
      abstract     = {Animal walking results from a complex interplay of central
                      pattern generating networks (CPGs), local sensory signals
                      expressing position, velocity and forces generated in the
                      legs, and coordinating signals between neighboring legs. In
                      particular, the CPGs control the activity of motoneuron (MN)
                      pools which drive the muscles of the individual legs and are
                      thereby responsible for the generation of rhythmic leg
                      movements. The rhythmic activity of the CPGs as well as
                      their connectivity can be modified by the aforementioned
                      sensory signals. However, the precise nature of the
                      interaction between the CPGs and these sensory signals has
                      remained generally largely unknown. Experimental methods
                      aiming at finding out details of these interactions often
                      apply cholinergic agonists such as pilocarpine in order to
                      induce rhythmic activity in the CPGs. Using this general
                      approach, we removed the influence of sensory signals and
                      investigated the putative connections between CPGs
                      controlling the upward/downward movement in the different
                      legs of the stick insect. The experimental data, i.e. the
                      measured MN activities, underwent connectivity analysis
                      using Dynamic Causal Modelling (DCM). This method can
                      uncover the underlying coupling structure and strength
                      between pairs of segmental CPGs. For the analysis we set up
                      different coupling schemes (models) for DCM and compared
                      them using Bayesian Model Selection (BMS). Models with
                      contralateral connections in each segment and ipsilateral
                      connections on both sides, as well as the coupling from the
                      meta- to the ipsilateral prothoracic ganglion were preferred
                      by BMS to all other types of models tested. Moreover, the
                      intrasegmental coupling strength in the mesothoracic
                      ganglion was the strongest and most stable in all three
                      ganglia.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31386699},
      UT           = {WOS:000484997100036},
      doi          = {10.1371/journal.pone.0220767},
      url          = {https://juser.fz-juelich.de/record/864317},
}