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, s. 1-14. ISSN 0896-0267. Dostupné z: https://dx.doi.org/10.1007/s10548-023-00993-6.
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Základní údaje
Originální název EEG-Meta-Microstates: Towards a more objective use of resting-state EEG microstate findings across studies
Autoři 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.
Vydání BRAIN TOPOGRAPHY, UNITED STATES, SPRINGER, 2024, 0896-0267.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 30103 Neurosciences
Stát vydavatele Spojené státy
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 2.700 v roce 2022
Organizační jednotka Lékařská fakulta
Doi http://dx.doi.org/10.1007/s10548-023-00993-6
UT WoS 001036914600001
Klíčová slova anglicky EEG; Resting-state; Microstates; Meta-analysis; Spatial similarity; Mental states; Functional brain states
Štítky 14110222
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Tereza Miškechová, učo 341652. Změněno: 4. 3. 2024 10:16.
Anotace
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.
VytisknoutZobrazeno: 29. 5. 2024 21:42