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@ARTICLE{Luppi:1003878,
      author       = {Luppi, Andrea I. and Cabral, Joana and Cofre, Rodrigo and
                      Mediano, Pedro A. M. and Rosas, Fernando E. and Qureshi,
                      Abid and Kuceyeski, Amy and Tagliazucchi, Enzo and Raimondo,
                      Federico and Deco, Gustavo and Shine, James and Kringelbach,
                      Morten L. and Orio, Patricio and Ching, ShiNung and Perl,
                      Yonatan Sanz and Diringer, Michael N. and Stevens, Robert D.
                      and Sitt, Jaco},
      title        = {{C}omputational modelling in disorders of consciousness:
                      closing the gap towards personalised models for restoring
                      consciousness},
      journal      = {NeuroImage},
      volume       = {275},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2023-01294},
      pages        = {120162},
      year         = {2023},
      abstract     = {Disorders of consciousness are complex conditions
                      characterised by persistent loss of responsiveness due to
                      brain injury. They present diagnostic challenges and limited
                      options for treatment, and highlight the urgent need for a
                      more thorough understanding of how human consciousness
                      arises from coordinated neural activity. The increasing
                      availability of multimodal neuroimaging data has given rise
                      to a wide range of clinically- and scientifically-motivated
                      modelling efforts, seeking to improve data-driven
                      stratification of patients, to identify causal mechanisms
                      for patient pathophysiology and loss of consciousness more
                      broadly, and to develop simulations as a means of testing in
                      silico potential treatment avenues to restore consciousness.
                      As a dedicated Working Group of clinicians and
                      neuroscientists of the international Curing Coma Campaign,
                      here we provide our framework and vision to understand the
                      diverse statistical and generative computational modelling
                      approaches that are being employed in this fast-growing
                      field. We identify the gaps that exist between the current
                      state of the art in statistical and biophysical
                      computational modelling in human neuroscience, and the
                      aspirational goal of a mature field of modelling disorders
                      of consciousness; which might drive improved treatments and
                      outcomes in the clinic. Finally, we make several
                      recommendations for how the field as a whole can work
                      together to address these challenges.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.neuroimage.2023.120162},
      url          = {https://juser.fz-juelich.de/record/1003878},
}