Human brain connectivity: Clinical applications for clinical neurophysiology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F20%3A00073146" target="_blank" >RIV/00159816:_____/20:00073146 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14740/20:00115873

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S1388245720301371?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1388245720301371?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.clinph.2020.03.031" target="_blank" >10.1016/j.clinph.2020.03.031</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Human brain connectivity: Clinical applications for clinical neurophysiology

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Human brain connectivity: Clinical applications for clinical neurophysiology

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

30210 - Clinical neurology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Clinical Neurophysiology

ISSN

1388-2457

e-ISSN

—

Svazek periodika

131

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

31

Strana od-do

1621-1651

Kód UT WoS článku

000539415600024

EID výsledku v databázi Scopus

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