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Human brain connectivity: Clinical applications for clinical neurophysiology

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/00216224:14740/20:00115873

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Human brain connectivity: Clinical applications for clinical neurophysiology

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30210 - Clinical neurology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Clinical Neurophysiology

  • ISSN

    1388-2457

  • e-ISSN

  • Volume of the periodical

    131

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    31

  • Pages from-to

    1621-1651

  • UT code for WoS article

    000539415600024

  • EID of the result in the Scopus database