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14. Human brain connectivity: Clinical applications for clinical neurophysiology

Author

Hallett, M., Haan, W. de, Deco, G., Dengler, R., Iorio, R. Di, Gallea, C., Gerloff, C., Grefkes, C., Helmich, R.C.G., Kringelbach, M.L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L.J., Wu, T., Rossini, P.M., Hallett, M., Haan, W. de, Deco, G., Dengler, R., Iorio, R. Di, Gallea, C., Gerloff, C., Grefkes, C., Helmich, R.C.G., Kringelbach, M.L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L.J., Wu, T., and Rossini, P.M.

Abstract

Contains fulltext : 220661.pdf (Publisher’s version ) (Closed access), 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
2020

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