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@ARTICLE{Rosjat:910595,
      author       = {Rosjat, Nils and Daun, Silvia},
      title        = {{DST} ({D}ynamic {S}ynchronization {T}oolbox): {A} {MATLAB}
                      {I}mplementation of the {D}ynamic {P}hase-{L}ocking
                      {P}ipeline from {S}timulus {T}ransformation into {M}otor
                      {A}ction: {D}ynamic {G}raph {A}nalysis {R}eveals a
                      {P}osterior-to-{A}nterior {S}hift in {B}rain {N}etwork
                      {C}ommunication of {O}lder {S}ubjects},
      journal      = {Journal of Open Research Software},
      volume       = {10},
      issn         = {2049-9647},
      address      = {London},
      publisher    = {Ubiquity Press},
      reportid     = {FZJ-2022-03973},
      pages        = {8},
      year         = {2022},
      abstract     = {The Dynamic Synchronization Toolbox allows the calculation
                      of dynamic graphs based on phase synchronization in
                      experimental data. This enables an analysis of the
                      time-development of network connectivity between multiple
                      recording sites (e.g. in electroencephalography (EEG) or
                      magnetoencephalography (MEG) data) with a high temporal
                      resolution. Optionally, the toolbox offers the possibility
                      to compute several graph metrics (such as cluster dynamics,
                      node degree, HUB nodes) via the Brain Connectivity toolbox.},
      cin          = {INM-3},
      ddc          = {004},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.5334/jors.394},
      url          = {https://juser.fz-juelich.de/record/910595},
}