hdEEG Inverse Source Localisation as A Tool For Studying Nrem Parasomnia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F22%3A43921045" target="_blank" >RIV/00023752:_____/22:43921045 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/22:00363181
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3569192.3569214" target="_blank" >https://dl.acm.org/doi/10.1145/3569192.3569214</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3569192.3569214" target="_blank" >10.1145/3569192.3569214</a>
Alternative languages
Result language
angličtina
Original language name
hdEEG Inverse Source Localisation as A Tool For Studying Nrem Parasomnia
Original language description
The mechanism of brain behaviour outside the parasomnia episode of NREM parasomnia (a sleep disorder) is not fully known. In this study, we examined a group of parasomnia individuals and healthy controls after sleep deprivation. We acquired a dataset containing a simultaneous recording of EEG and fMRI, as well as EEG-only data outside the MR scanner. We used inverse source modelling on the EEG-only data and compared the capability of the method to expose differences between patients and controls with EEG-fMRI data and literature. The results show that the highest difference is in the slow-wave activity of the delta waves, mainly in the occipital region. Even outside the parasomnia episode, differences in fluctuating sleep between patients and controls can be observed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICBRA 22: Proceedings of the 9th International Conference on Bioinformatics Research and Applications
ISBN
978-1-4503-9686-8
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
135-141
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Barcelona, Spain
Event date
Sep 18, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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