EEG-Meta-Microstates: Towards a more objective use of
resting-state EEG microstate findings across studies

J 2024

EEG-Meta-Microstates: Towards a more objective use of resting-state EEG microstate findings across studies

KOENIG, Thomas, Sarah DIEZIG, Sahana N KALBURGI, Elena ANTONOVA, Fiorenzo ARTONI et. al.

Basic information

Original name

EEG-Meta-Microstates: Towards a more objective use of resting-state EEG microstate findings across studies

Authors

KOENIG, Thomas (756 Switzerland, guarantor, belonging to the institution), Sarah DIEZIG, Sahana N KALBURGI, Elena ANTONOVA, Fiorenzo ARTONI, Lucie BRECHET, Juliane BRITZ, Pierpaolo CROCE, Anna CUSTO, Alena DAMBORSKÁ (203 Czech Republic, belonging to the institution), Camila DEOLINDO, Markus HEINRICHS, Tobias KLEINERT, Zhen LIANG, Michael M MURPHY, Kyle NASH, Chystopher NEHANIV, Bastian SCHILLER, Una SMAILOVIC, Povilas TARAILIS, Miralena I TOMESCU, Eren TOPLUTAS, Federica VELLANTE, Anthony ZANESCO, Filippo ZAPPASODI, Qihong ZOU and Christoph M MICHEL

Edition

BRAIN TOPOGRAPHY, UNITED STATES, SPRINGER, 2024, 0896-0267

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30103 Neurosciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 2.700 in 2022

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1007/s10548-023-00993-6

UT WoS

001036914600001

Keywords in English

EEG; Resting-state; Microstates; Meta-analysis; Spatial similarity; Mental states; Functional brain states

Abstract

V originále

Over the last decade, EEG resting-state microstate analysis has evolved from a niche existence to a widely used and well-accepted methodology. The rapidly increasing body of empirical findings started to yield overarching patterns of associations of biological and psychological states and traits with specific microstate classes. However, currently, this cross-referencing among apparently similar microstate classes of different studies is typically done by “eyeballing” of printed template maps by the individual authors, lacking a systematic procedure. To improve the reliability and validity of future findings, we present a tool to systematically collect the actual data of template maps from as many published studies as possible and present them in their entirety as a matrix of spatial similarity. The tool also allows importing novel template maps and systematically extracting the findings associated with specific microstate maps from ongoing or published studies. The tool also allows importing novel template maps and systematically extracting the findings associated with specific microstate maps in the literature. The analysis of 40 included sets of template maps indicated that: (i) there is a high degree of similarity of template maps across studies, (ii) similar template maps were associated with converging empirical findings, and (iii) representative meta-microstates can be extracted from the individual studies. We hope that this tool will be useful in coming to a more comprehensive, objective, and overarching representation of microstate findings.

Citovat

KOENIG, Thomas, Sarah DIEZIG, Sahana N KALBURGI, Elena ANTONOVA, Fiorenzo ARTONI, Lucie BRECHET, Juliane BRITZ, Pierpaolo CROCE, Anna CUSTO, Alena DAMBORSKÁ, Camila DEOLINDO, Markus HEINRICHS, Tobias KLEINERT, Zhen LIANG, Michael M MURPHY, Kyle NASH, Chystopher NEHANIV, Bastian SCHILLER, Una SMAILOVIC, Povilas TARAILIS, Miralena I TOMESCU, Eren TOPLUTAS, Federica VELLANTE, Anthony ZANESCO, Filippo ZAPPASODI, Qihong ZOU and Christoph M MICHEL. EEG-Meta-Microstates: Towards a more objective use of resting-state EEG microstate findings across studies. BRAIN TOPOGRAPHY. UNITED STATES: SPRINGER, 2024, vol. 37, No 2, p. 218-231. ISSN 0896-0267. Available from: https://dx.doi.org/10.1007/s10548-023-00993-6.

@article{2333537,
   author = {Koenig, Thomas and Diezig, Sarah and Kalburgi, Sahana N and Antonova, Elena and Artoni, Fiorenzo and Brechet, Lucie and Britz, Juliane and Croce, Pierpaolo and Custo, Anna and Damborská, Alena and Deolindo, Camila and Heinrichs, Markus and Kleinert, Tobias and Liang, Zhen and Murphy, Michael M and Nash, Kyle and Nehaniv, Chystopher and Schiller, Bastian and Smailovic, Una and Tarailis, Povilas and Tomescu, Miralena I and Toplutas, Eren and Vellante, Federica and Zanesco, Anthony and Zappasodi, Filippo and Zou, Qihong and Michel, Christoph M},
   article_location = {UNITED STATES},
   article_number = {2},
   doi = {http://dx.doi.org/10.1007/s10548-023-00993-6},
   keywords = {EEG; Resting-state; Microstates; Meta-analysis; Spatial similarity; Mental states; Functional brain states},
   language = {eng},
   issn = {0896-0267},
   journal = {BRAIN TOPOGRAPHY},
   title = {EEG-Meta-Microstates: Towards a more objective use of resting-state EEG microstate findings across studies},
   url = {https://link.springer.com/article/10.1007/s10548-023-00993-6},
   volume = {37},
   year = {2024}
}

TY  - JOUR
ID  - 2333537
AU  - Koenig, Thomas - Diezig, Sarah - Kalburgi, Sahana N - Antonova, Elena - Artoni, Fiorenzo - Brechet, Lucie - Britz, Juliane - Croce, Pierpaolo - Custo, Anna - Damborská, Alena - Deolindo, Camila - Heinrichs, Markus - Kleinert, Tobias - Liang, Zhen - Murphy, Michael M - Nash, Kyle - Nehaniv, Chystopher - Schiller, Bastian - Smailovic, Una - Tarailis, Povilas - Tomescu, Miralena I - Toplutas, Eren - Vellante, Federica - Zanesco, Anthony - Zappasodi, Filippo - Zou, Qihong - Michel, Christoph M
PY  - 2024
TI  - EEG-Meta-Microstates: Towards a more objective use of resting-state EEG microstate findings across studies
JF  - BRAIN TOPOGRAPHY
VL  - 37
IS  - 2
SP  - 218-231
EP  - 218-231
PB  - SPRINGER
SN  - 08960267
KW  - EEG
KW  - Resting-state
KW  - Microstates
KW  - Meta-analysis
KW  - Spatial similarity
KW  - Mental states
KW  - Functional brain states
UR  - https://link.springer.com/article/10.1007/s10548-023-00993-6
N2  - Over the last decade, EEG resting-state microstate analysis has evolved from a niche existence to a widely used and well-accepted methodology. The rapidly increasing body of empirical findings started to yield overarching patterns of associations of biological and psychological states and traits with specific microstate classes. However, currently, this cross-referencing among apparently similar microstate classes of different studies is typically done by “eyeballing” of printed template maps by the individual authors, lacking a systematic procedure. To improve the reliability and validity of future findings, we present a tool to systematically collect the actual data of template maps from as many published studies as possible and present them in their entirety as a matrix of spatial similarity. The tool also allows importing novel template maps and systematically extracting the findings associated with specific microstate maps from ongoing or published studies. The tool also allows importing novel template maps and systematically extracting the findings associated with specific microstate maps in the literature. The analysis of 40 included sets of template maps indicated that: (i) there is a high degree of similarity of template maps across studies, (ii) similar template maps were associated with converging empirical findings, and (iii) representative meta-microstates can be extracted from the individual studies. We hope that this tool will be useful in coming to a more comprehensive, objective, and overarching representation of microstate findings.
ER  -

KOENIG, Thomas, Sarah DIEZIG, Sahana N KALBURGI, Elena ANTONOVA, Fiorenzo ARTONI, Lucie BRECHET, Juliane BRITZ, Pierpaolo CROCE, Anna CUSTO, Alena DAMBORSKÁ, Camila DEOLINDO, Markus HEINRICHS, Tobias KLEINERT, Zhen LIANG, Michael M MURPHY, Kyle NASH, Chystopher NEHANIV, Bastian SCHILLER, Una SMAILOVIC, Povilas TARAILIS, Miralena I TOMESCU, Eren TOPLUTAS, Federica VELLANTE, Anthony ZANESCO, Filippo ZAPPASODI, Qihong ZOU and Christoph M MICHEL. EEG-Meta-Microstates: Towards a more objective use of resting-state EEG microstate findings across studies. \textit{BRAIN TOPOGRAPHY}. UNITED STATES: SPRINGER, 2024, vol.~37, No~2, p.~218-231. ISSN~0896-0267. Available from: https://dx.doi.org/10.1007/s10548-023-00993-6.

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