Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU124580" target="_blank" >RIV/00216305:26220/18:PU124580 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14740/18:00100718 RIV/61989592:15110/18:73590078
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs10548-017-0585-8" target="_blank" >https://link.springer.com/article/10.1007%2Fs10548-017-0585-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10548-017-0585-8" target="_blank" >10.1007/s10548-017-0585-8</a>

Result language
angličtina
Original language name
Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA
Original language description
Electroencephalography (EEG) oscillations reflect the superposition of different cortical sources with potentially different frequencies. Various blind source separation (BSS) approaches have been developed and implemented in order to decompose these oscillations, and a subset of approaches have been developed for decomposition of multi-subject data. Group independent component analysis (Group ICA) is one such approach, revealing spatiospectral maps at the group level with distinct frequency and spatial characteristics. The reproducibility of these distinct maps across subjects and paradigms is relatively unexplored domain, and the topic of the present study. To address this, we conducted separate group ICA decompositions of EEG spatiospectral patterns on data collected during three different paradigms or tasks (resting-state, semantic decision task and visual oddball task). K-means clustering analysis of back-reconstructed individual subject maps demonstrates that fourteen different independent spatiospectral maps are present across the different paradigms/tasks, i.e. they are generally stable.
Czech name
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Czech description
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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
20601 - Medical engineering

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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