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@INPROCEEDINGS{Gutzen:908472,
      author       = {Gutzen, R.},
      title        = {{B}locks instead of puzzles pieces - analyzing cortical
                      wave activity across scales in an adaptable framework},
      reportid     = {FZJ-2022-02625},
      year         = {2022},
      abstract     = {The expanding availability and variety of data and
                      methodologies represent a great opportunity to access neural
                      processes in finer detail. Leveraging the complementary
                      insights from across experiments, species, and measurement
                      techniques, however, poses a challenge as the data is too
                      heterogeneous and the corresponding analyses too specific to
                      allow for rigorous quantitative comparisons of the results.
                      However, this challenge also promises new avenues of
                      scientific progress. By aligning existing data and analyses
                      from different sources in a reusable workflow we can build a
                      broader basis for meta-studies, contextualization of
                      individual studies, and model validation. Here, we showcase
                      such an analysis pipeline with the application to cortical
                      wave activity in the delta (‘slow waves’) and beta
                      range, integrating capabilities to process diverse data and
                      topical analytical methods within a consistent framework:
                      the ‘collaborative brain wave analysis pipeline’
                      (Cobrawap).The pipeline design is based on modular building
                      blocks that provide implementations of analysis methods and
                      processing steps. The components are matched by their
                      input-output relations and can be flexibly combined and
                      arranged into a workflow to fit the requirements of the data
                      and the scientific question. In this framework, by reusing
                      the identical methods and implementations and by converging
                      the heterogeneous data to a common descriptive level of wave
                      activity, we are in a situation where analysis outcomes can
                      be quantitatively compared using common characteristic
                      measures.We demonstrate the versatility of the pipeline by
                      analyzing slow wave activity in ECoG and calcium imaging
                      recordings to evaluate the influence of dataset-specific
                      parameters on the wave characteristics such as the type and
                      dose of anesthesia or the measurement modality and their
                      temporal and spatial resolution, and show that we can
                      replicate corresponding findings from the literature.
                      Furthermore, we show how the pipeline enables the
                      benchmarking of methods by analyzing the same data with
                      different method blocks and how the individual pipeline
                      elements can be reused, rearranged, or extended to help
                      derive analysis workflows for similar research endeavors and
                      amplify collaborative research.},
      month         = {Jun},
      date          = {2022-06-13},
      organization  = {Brain Activity across Scales and
                       Species: Analysis of Experiments and
                       Simulations, Rome (Italy), 13 Jun 2022
                       - 15 Jun 2022},
      subtyp        = {Invited},
      cin          = {INM-6 / INM-10 / IAS-6},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)INM-10-20170113 /
                      I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5235 - Digitization of Neuroscience and User-Community
                      Building (POF4-523) / HBP SGA2 - Human Brain Project
                      Specific Grant Agreement 2 (785907) / HBP SGA3 - Human Brain
                      Project Specific Grant Agreement 3 (945539) / HAF -
                      Helmholtz Analytics Framework (ZT-I-0003)},
      pid          = {G:(DE-HGF)POF4-5235 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539 / G:(DE-HGF)ZT-I-0003},
      typ          = {PUB:(DE-HGF)31},
      url          = {https://juser.fz-juelich.de/record/908472},
}