Human brain connectivity: Clinical applications for clinical neurophysiology

Varování

Publikace nespadá pod Lékařskou fakultu, ale pod Středoevropský technologický institut. Oficiální stránka publikace je na webu muni.cz.

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HALLETT M. DE HAAN W. DECO G. DENGLER R. DI IORIO R. GALLEA C. GERLOFF C. GREFKES C. HELMICH R.C. KRINGELBACH M.L. MIRAGLIA F. REKTOR Ivan STRÝČEK Ondřej VECCHIO F. VOLZ L.J. WU T. ROSSINI P.M.

Rok publikování 2020
Druh Článek v odborném periodiku
Časopis / Zdroj Clinical Neurophysiology
Fakulta / Pracoviště MU

Středoevropský technologický institut

Citace
www https://www.sciencedirect.com/science/article/pii/S1388245720301371?via%3Dihub
Doi http://dx.doi.org/10.1016/j.clinph.2020.03.031
Klíčová slova Networks; coherence; Graph theory; Neurodegeneration; Dementia; Amyotrophic lateral sclerosis; Stroke; Parkinson disease; Dystonia; Essential tremor; Apraxia; Epilepsy; Phantom limb; Psychiatric disorders; EEG; MRI
Popis 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. on behalf of International Federation of Clinical Neurophysiology.

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