Preclinical Investigation to Understand Electroencephalogram Patterns
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F25%3A10505710" target="_blank" >RIV/00216208:11130/25:10505710 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-86878-8_6" target="_blank" >https://doi.org/10.1007/978-3-031-86878-8_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-86878-8_6" target="_blank" >10.1007/978-3-031-86878-8_6</a>
Alternative languages
Result language
angličtina
Original language name
Preclinical Investigation to Understand Electroencephalogram Patterns
Original language description
Electroencephalogram (EEG) represents one of the main tools to explore the brain. EEG signals are relatively simple to measure, but their interpretation is complex because activities generated by diverse sources converge at the site of the EEG sampling point, the recording electrode. We describe here the contribution of preclinical science to the understanding of EEG signals generated in physiological conditions and during brain disfunction with a specific focus on epilepsy. Different models and technologies and in vitro preparations utilized to identify the network determinants of EEG patterns are analyzed and discussed. Physiological and pathological oscillations at different frequency bands as well as the mechanisms of ictogenesis are also examined. We discuss here how the integrated and simultaneous study of the EEG with other experimental techniques, such as functional imaging, optogenetics, chemogenetics, and so on, contributes to a comprehensive understanding of brain activity and function. The EEG and experimental neurophysiology techniques represent cornerstones in brain research to unravel brain function and disease mechanisms.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
30105 - Physiology (including cytology)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
EEG: The First 100 Years. Past, Present and Future of Electroencephalography
ISBN
978-3-031-86877-1
Number of pages of the result
18
Pages from-to
59-76
Number of pages of the book
364
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
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