Stable Scalp EEG Spatiospectral Patterns Across Paradigms
Estimated by Group ICA

J 2018

Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA

LABOUNEK, René, D.A. BRIDWELL, Radek MAREČEK, Martin LAMOŠ, Michal MIKL et. al.

Basic information

Original name

Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA

Authors

LABOUNEK, René (203 Czech Republic, belonging to the institution), D.A. BRIDWELL (840 United States of America), Radek MAREČEK (203 Czech Republic, belonging to the institution), Martin LAMOŠ (203 Czech Republic, belonging to the institution), Michal MIKL (203 Czech Republic, belonging to the institution), Tomáš SLAVÍČEK (203 Czech Republic, belonging to the institution), Petr BEDNAŘÍK (203 Czech Republic, belonging to the institution), J. BASTINEC (203 Czech Republic), P. HLUSTIK (203 Czech Republic), Milan BRÁZDIL (203 Czech Republic, guarantor, belonging to the institution) and J. JAN (203 Czech Republic)

Edition

BRAIN TOPOGRAPHY, DORDRECHT, SPRINGER, 2018, 0896-0267

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30103 Neurosciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 3.104

RIV identification code

RIV/00216224:14740/18:00100718

Organization unit

Central European Institute of Technology

DOI

http://dx.doi.org/10.1007/s10548-017-0585-8

UT WoS

000422889300007

Keywords in English

EEG; ICA; Spatiospectral patterns; Multi-subject blind source separation; Resting-state; Semantic decision; Visual oddball

Abstract

V originále

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.

Links

ED1.1.00/02.0068, research and development project

Name: CEITEC - central european institute of technology

ED3.2.00/08.0144, research and development project

Name: CERIT Scientific Cloud

GAP304/11/1318, research and development project

Name: Optimalizace metodiky analýzy a hodnocení simultánního EEG-fMRI u pacientů s farmakorezistentní epilepsií

Investor: Czech Science Foundation

LM2010005, research and development project

Name: Velká infrastruktura CESNET (Acronym: VI CESNET)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

LABOUNEK, René, D.A. BRIDWELL, Radek MAREČEK, Martin LAMOŠ, Michal MIKL, Tomáš SLAVÍČEK, Petr BEDNAŘÍK, J. BASTINEC, P. HLUSTIK, Milan BRÁZDIL and J. JAN. Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA (Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA). BRAIN TOPOGRAPHY. DORDRECHT: SPRINGER, 2018, vol. 31, No 1, p. 76-89. ISSN 0896-0267. Available from: https://dx.doi.org/10.1007/s10548-017-0585-8.

@article{1388689,
   author = {Labounek, René and Bridwell, D.A. and Mareček, Radek and Lamoš, Martin and Mikl, Michal and Slavíček, Tomáš and Bednařík, Petr and Bastinec, J. and Hlustik, P. and Brázdil, Milan and Jan, J.},
   article_location = {DORDRECHT},
   article_number = {1},
   doi = {http://dx.doi.org/10.1007/s10548-017-0585-8},
   keywords = {EEG; ICA; Spatiospectral patterns; Multi-subject blind source separation; Resting-state; Semantic decision; Visual oddball},
   language = {eng},
   issn = {0896-0267},
   journal = {BRAIN TOPOGRAPHY},
   title = {Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA},
   volume = {31},
   year = {2018}
}

TY  - JOUR
ID  - 1388689
AU  - Labounek, René - Bridwell, D.A. - Mareček, Radek - Lamoš, Martin - Mikl, Michal - Slavíček, Tomáš - Bednařík, Petr - Bastinec, J. - Hlustik, P. - Brázdil, Milan - Jan, J.
PY  - 2018
TI  - Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA
JF  - BRAIN TOPOGRAPHY
VL  - 31
IS  - 1
SP  - 76-89
EP  - 76-89
PB  - SPRINGER
SN  - 08960267
KW  - EEG
KW  - ICA
KW  - Spatiospectral patterns
KW  - Multi-subject blind source separation
KW  - Resting-state
KW  - Semantic decision
KW  - Visual oddball
N2  - 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.
ER  -

LABOUNEK, René, D.A. BRIDWELL, Radek MAREČEK, Martin LAMOŠ, Michal MIKL, Tomáš SLAVÍČEK, Petr BEDNAŘÍK, J. BASTINEC, P. HLUSTIK, Milan BRÁZDIL and J. JAN. Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA (Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA). \textit{BRAIN TOPOGRAPHY}. DORDRECHT: SPRINGER, 2018, vol.~31, No~1, p.~76-89. ISSN~0896-0267. Available from: https://dx.doi.org/10.1007/s10548-017-0585-8.

Detailed Information on Publication Record