| Literature DB >> 32417703 |
Mark Hallett1, Willem de Haan2, Gustavo Deco3, Reinhard Dengler4, Riccardo Di Iorio5, Cecile Gallea6, Christian Gerloff7, Christian Grefkes8, Rick C Helmich9, Morten L Kringelbach10, Francesca Miraglia11, Ivan Rektor12, Ondřej Strýček12, Fabrizio Vecchio11, Lukas J Volz12, Tao Wu13, Paolo M Rossini11.
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. Published by Elsevier B.V.Entities:
Keywords: Amyotrophic lateral sclerosis; Apraxia; Dementia; Dystonia; EEG; Epilepsy; Essential tremor; Graph theory; MRI; Networks, coherence; Neurodegeneration; Parkinson disease; Phantom limb; Psychiatric disorders; Stroke
Mesh:
Year: 2020 PMID: 32417703 DOI: 10.1016/j.clinph.2020.03.031
Source DB: PubMed Journal: Clin Neurophysiol ISSN: 1388-2457 Impact factor: 3.708