Human brain connectivity: Clinical applications for clinical neurophysiology

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperReviewResearchpeer-review

  • Mark Hallett, NINDS-NIH
  • ,
  • Willem de Haan, Vrije Universiteit Amsterdam
  • ,
  • Gustavo Deco, Pompeu Fabra University, ICREA, Max Planck Institute for Human Cognitive and Brain Sciences, Monash University
  • ,
  • Reinhard Dengler, Hannover Medical School
  • ,
  • Riccardo Di Iorio, Fondazione Policlinico Universitario Agostino Gemelli IRCCS
  • ,
  • Cecile Gallea, CNRS
  • ,
  • Christian Gerloff, University Medical Center Hamburg-Eppendorf
  • ,
  • Christian Grefkes, University of Cologne
  • ,
  • Rick C. Helmich, Radboud University Nijmegen
  • ,
  • Morten L. Kringelbach
  • Francesca Miraglia, IRCCS San Raffaele Pisana - Roma
  • ,
  • Ivan Rektor, Masaryk University
  • ,
  • Ondřej Strýček, Masaryk University
  • ,
  • Fabrizio Vecchio, IRCCS San Raffaele Pisana - Roma
  • ,
  • Lukas J. Volz, Masaryk University
  • ,
  • Tao Wu, Capital Medical University
  • ,
  • Paolo M. Rossini, IRCCS San Raffaele Pisana - Roma

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.

Original languageEnglish
JournalClinical Neurophysiology
Volume131
Issue7
Pages (from-to)1621-1651
Number of pages31
ISSN1388-2457
DOIs
Publication statusPublished - Jul 2020

    Research areas

  • Amyotrophic lateral sclerosis, Apraxia, Dementia, Dystonia, EEG, Epilepsy, Essential tremor, Graph theory, MRI, Networks, coherence, Neurodegeneration, Parkinson disease, Phantom limb, Psychiatric disorders, Stroke

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