% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Butz:156530,
      author       = {Butz, Markus and Steenbuck, Ines D. and van Ooyen, Arjen},
      title        = {{H}omeostatic structural plasticity can account for
                      topology changes following deafferentation and focal stroke},
      journal      = {Frontiers in neuroanatomy},
      volume       = {8},
      issn         = {1662-5129},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2014-05244},
      pages        = {115},
      year         = {2014},
      abstract     = {After brain lesions caused by tumors or stroke, or after
                      lasting loss of input (deafferentation), inter- and
                      intra-regional brain networks respond with complex changes
                      in topology. Not only areas directly affected by the lesion
                      but also regions remote from the lesion may alter their
                      connectivity—a phenomenon known as diaschisis. Changes in
                      network topology after brain lesions can lead to cognitive
                      decline and increasing functional disability. However, the
                      principles governing changes in network topology are poorly
                      understood. Here, we investigated whether homeostatic
                      structural plasticity can account for changes in network
                      topology after deafferentation and brain lesions.
                      Homeostatic structural plasticity postulates that neurons
                      aim to maintain a desired level of electrical activity by
                      deleting synapses when neuronal activity is too high and by
                      providing new synaptic contacts when activity is too low.
                      Using our Model of Structural Plasticity, we explored how
                      local changes in connectivity induced by a focal loss of
                      input affected global network topology. In accordance with
                      experimental and clinical data, we found that after partial
                      deafferentation, the network as a whole became more random,
                      although it maintained its small-world topology, while
                      deafferentated neurons increased their betweenness
                      centrality as they rewired and returned to the homeostatic
                      range of activity. Furthermore, deafferentated neurons
                      increased their global but decreased their local efficiency
                      and got longer tailed degree distributions, indicating the
                      emergence of hub neurons. Together, our results suggest that
                      homeostatic structural plasticity may be an important
                      driving force for lesion-induced network reorganization and
                      that the increase in betweenness centrality of
                      deafferentated areas may hold as a biomarker for brain
                      repair.},
      cin          = {JSC / JARA-HPC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411) / SMHB - Supercomputing and Modelling for the
                      Human Brain (HGF-SMHB-2013-2017) / SLNS - SimLab
                      Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF2-411 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000344069100001},
      doi          = {10.3389/fnana.2014.00115},
      url          = {https://juser.fz-juelich.de/record/156530},
}