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 a 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, roč. 37, č. 2, s. 218-231. ISSN 0896-0267. Dostupné z: https://dx.doi.org/10.1007/s10548-023-00993-6. |
Další formáty:
BibTeX
LaTeX
RIS
@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 a 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, roč.~37, č.~2, s.~218-231. ISSN~0896-0267. Dostupné z: https://dx.doi.org/10.1007/s10548-023-00993-6.
|