Extraction and evaluation of EEG covariates and their influence on GLM model: EEG covariates and their influence on GLM model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F21%3A43920825" target="_blank" >RIV/00023752:_____/21:43920825 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11120/21:43923122 RIV/68407700:21460/21:00352196
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3502060.3502354" target="_blank" >https://dl.acm.org/doi/10.1145/3502060.3502354</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3502060.3502354" target="_blank" >10.1145/3502060.3502354</a>
Alternative languages
Result language
angličtina
Original language name
Extraction and evaluation of EEG covariates and their influence on GLM model: EEG covariates and their influence on GLM model
Original language description
This study aims at the identification of suitable approaches to dimension reduction methods for EEG covariate extraction for GLM analysis of fMRI time series. We present the results of anatomical and mathematical methods of dimension covariate reduction and their combinations. Individual models according to the used covariates showed that jPCA creates a lower number of significantly correlated voxels. Anatomical reduction balances the number of correlated voxels between mean and jPCA. The choice of covariates has a significant effect on the resulting GLM activations. The average allows generalization to explain a physiological activity, jPCA offers the ability to identify specific activations.
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
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 International Symposium on Biomedical Engineering and Computational Biology, BECB 2021
ISBN
978-1-4503-8411-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
Association for Computing Machinery
Place of publication
Neuvedeno
Event location
Virtual, Online
Event date
Aug 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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