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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30210 - Clinical neurology
Result continuities
Project
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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
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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
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