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@ARTICLE{Hallett:887809,
      author       = {Hallett, Mark and de Haan, Willem and Deco, Gustavo and
                      Dengler, Reinhard and Di Iorio, Riccardo and Gallea, Cecile
                      and Gerloff, Christian and Grefkes, Christian and Helmich,
                      Rick C. and Kringelbach, Morten L. and Miraglia, Francesca
                      and Rektor, Ivan and Strýček, Ondřej and Vecchio,
                      Fabrizio and Volz, Lukas J. and Wu, Tao and Rossini, Paolo
                      M.},
      title        = {{H}uman brain connectivity: {C}linical applications for
                      clinical neurophysiology},
      journal      = {Clinical neurophysiology},
      volume       = {131},
      number       = {7},
      issn         = {1388-2457},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-04435},
      pages        = {1621 - 1651},
      year         = {2020},
      abstract     = {This manuscript is the second part of a two-part
                      description of the current status of understanding of the
                      network function of the brain in health and disease. We
                      start with the concept that brain function can be understood
                      only by understanding its networks, how and why information
                      flows in the brain. The first manuscript dealt with methods
                      for network analysis, and the current manuscript focuses on
                      the use of these methods to understand a wide variety of
                      neurological and psychiatric disorders. Disorders considered
                      are neurodegenerative disorders, such as Alzheimer disease
                      and amyotrophic lateral sclerosis, stroke, movement
                      disorders, including essential tremor, Parkinson disease,
                      dystonia and apraxia, epilepsy, psychiatric disorders such
                      as schizophrenia, and phantom limb pain. This
                      state-of-the-art review makes clear the value of networks
                      and brain models for understanding symptoms and signs of
                      disease and can serve as a foundation for further work.},
      cin          = {INM-3},
      ddc          = {610},
      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},
      pubmed       = {32417703},
      UT           = {WOS:000539415600024},
      doi          = {10.1016/j.clinph.2020.03.031},
      url          = {https://juser.fz-juelich.de/record/887809},
}