Publication details

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

Authors	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
Year of publication	2024
Type	Article in Periodical
Magazine / Source	BRAIN TOPOGRAPHY
MU Faculty or unit	Faculty of Medicine
Citation
web	https://link.springer.com/article/10.1007/s10548-023-00993-6
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
Description	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.