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@ARTICLE{Prez:1034744,
      author       = {Pérez, Pauline and Manasova, Dragana and Hermann, Bertrand
                      and Raimondo, Federico and Rohaut, Benjamin and
                      Bekinschtein, Tristán A and Naccache, Lionel and Arzi, Anat
                      and Sitt, Jacobo D},
      title        = {{C}ontent–state dimensions characterize different types
                      of neuronal markers of consciousness},
      journal      = {Neuroscience of consciousness},
      volume       = {1},
      issn         = {2057-2107},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {FZJ-2024-07501},
      pages        = {niae027},
      year         = {2024},
      abstract     = {Identifying the neuronal markers of consciousness is key to
                      supporting the different scientific theories of
                      consciousness. Neuronal markers of consciousness can be
                      defined to reflect either the brain signatures underlying
                      specific conscious content or those supporting different
                      states of consciousness, two aspects traditionally studied
                      separately. In this paper, we introduce a framework to
                      characterize markers according to their dynamics in both the
                      “state” and “content” dimensions. The 2D space is
                      defined by the marker’s capacity to distinguish the
                      conscious states from non-conscious states (on the x-axis)
                      and the content (e.g. perceived versus unperceived or
                      different levels of cognitive processing on the y-axis).
                      According to the sign of the x- and y-axis, markers are
                      separated into four quadrants in terms of how they
                      distinguish the state and content dimensions. We implement
                      the framework using three types of electroencephalography
                      markers: markers of connectivity, markers of complexity, and
                      spectral summaries. The neuronal markers of state are
                      represented by the level of consciousness in (i) healthy
                      participants during a nap and (ii) patients with disorders
                      of consciousness. On the other hand, the neuronal markers of
                      content are represented by (i) the conscious content in
                      healthy participants’ perception task using a visual
                      awareness paradigm and (ii) conscious processing of
                      hierarchical regularities using an auditory local–global
                      paradigm. In both cases, we see separate clusters of markers
                      with correlated and anticorrelated dynamics, shedding light
                      on the complex relationship between the state and content of
                      consciousness and emphasizing the importance of considering
                      them simultaneously. This work presents an innovative
                      framework for studying consciousness by examining neuronal
                      markers in a 2D space, providing a valuable resource for
                      future research, with potential applications using diverse
                      experimental paradigms, neural recording techniques, and
                      modeling investigations.},
      cin          = {INM-7},
      ddc          = {150},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {39011546},
      UT           = {WOS:001270882600001},
      doi          = {10.1093/nc/niae027},
      url          = {https://juser.fz-juelich.de/record/1034744},
}