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@ARTICLE{Haupt:190177,
      author       = {Haupt, W. F. and Hansen, H. C. and Janzen, R. W. C. and
                      Firsching, R. and Galldiks, N.},
      title        = {{C}oma and {C}erebral {I}maging.},
      journal      = {SpringerPlus},
      volume       = {4},
      issn         = {2193-1801},
      address      = {London},
      publisher    = {Biomed Central},
      reportid     = {FZJ-2015-03105},
      pages        = {Article 180},
      year         = {2015},
      abstract     = {The clinical sign of coma is a common feature in critical
                      care medicine. However, little information has been put
                      forth on the correlations between coma and cerebral imaging
                      methods. The purpose of the article is to compile the
                      available information derived from various imaging methods
                      and placing it in a context of clinical knowledge of coma
                      and related states. The definition of coma and the cerebral
                      structures responsible for consciousness are described; the
                      mechanisms of cerebral lesions leading to impaired
                      consciousness and coma are explained. Cerebral imaging
                      methods provide a large array of information on the
                      structural changes of brain tissue in the various diseases
                      leading to coma. Circumscript lesions produce
                      space-occupying masses that displace the brain, ultimately
                      leading to various types of herniation. Generalized disease
                      of the brain usually leads to diffuse brain swelling which
                      also can cause herniation. Epileptic states, however, rarely
                      are detectable by imaging methods and mandate EEG
                      examinations. Another important aspect of imaging in coma is
                      the increasing use of functional imaging methods, which can
                      detect the function of loss of function in various areas of
                      the brain and render information on the extent and severity
                      of brain damage as well as on the prognosis of disease. The
                      MRI methods of 1H-spectroscopy and diffusion tensor imaging
                      may provide more functional information in the future.},
      cin          = {INM-3},
      ddc          = {600},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000359200700001},
      pubmed       = {pmid:25984436},
      doi          = {10.1186/s40064-015-0869-y},
      url          = {https://juser.fz-juelich.de/record/190177},
}