Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00573600" target="_blank" >RIV/67985807:_____/23:00573600 - isvavai.cz</a>
Alternative codes found
RIV/00023752:_____/23:43921110 RIV/00216208:11130/23:10465216
Result on the web
<a href="https://doi.org/10.1111/epi.17690" target="_blank" >https://doi.org/10.1111/epi.17690</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/epi.17690" target="_blank" >10.1111/epi.17690</a>
Alternative languages
Result language
angličtina
Original language name
Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy
Original language description
Epilepsy is a common neurological disorder, with one third of patients not responding to currently available antiepileptic drugs. The proportion of pharmacoresistant epilepsies has remained unchanged for many decades. To cure epilepsy and control seizures requires a paradigm shift in the development of new approaches to epilepsy diagnosis and treatment. Contemporary medicine has benefited from the exponential growth of computational modeling, and the application of network dynamics theory to understanding and treating human brain disorders. In epilepsy, the introduction of these approaches has led to personalized epileptic network modeling that can explore the patient's seizure genesis and predict the functional impact of resection on its individual network's propensity to seize. The application of the dynamic systems approach to neurostimulation therapy of epilepsy allows designing stimulation strategies that consider the patient's seizure dynamics and long-term fluctuations in the stability of their epileptic networks. In this article, we review, in a nontechnical fashion suitable for a broad neuroscientific audience, recent progress in personalized dynamic brain network modeling that is shaping the future approach to the diagnosis and treatment of epilepsy.
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
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Epilepsia
ISSN
0013-9580
e-ISSN
1528-1167
Volume of the periodical
64
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
2221-2238
UT code for WoS article
001024598000001
EID of the result in the Scopus database
2-s2.0-85164598407