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DOI 10.1016/j.clinph.2020.03.031

Медицинская библиотека · Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020

Human brain connectivity: Clinical applications for clinical neurophysiology.

Hallett Mark, de Haan Willem, Deco Gustavo, Dengler Reinhard, Di Iorio Riccardo, Gallea Cecile, Gerloff Christian, Grefkes Christian, Helmich Rick C, Kringelbach Morten L, Miraglia Francesca, Rektor Ivan, Strýček Ondřej, Vecchio Fabrizio, Volz Lukas J, Wu Tao, Rossini Paolo M

СтатьяResearch Support, N.I.H., IntramuralОбзорПеревод в очереди

Аннотация

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.

Для цитирования: Hallett Mark, de Haan Willem, Deco Gustavo, Dengler Reinhard, Di Iorio Riccardo, Gallea Cecile, Gerloff Christian, Grefkes Christian, Helmich Rick C, Kringelbach Morten L, Miraglia Francesca, Rektor Ivan, Strýček Ondřej, Vecchio Fabrizio, Volz Lukas J, Wu Tao, Rossini Paolo M. Human brain connectivity: Clinical applications for clinical neurophysiology.. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 2020. DOI: 10.1016/j.clinph.2020.03.031.

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