EEG microstates view of a serotonergic model of psychosis
2017-10 ~Abstract: Electroencephalographic resting-state microstates analysis is frequently used type of multichannel EEG analysis which consider EEG recording as a series of quasi-stable topographies of electric potentials in time. Almost all studies based on resting-state recordings conclude that only 4 archetypal maps with unique topography, habitually labelled to by the first four letters of the alphabet, are sufficient to describe most of the resting-state recording. We conducted EEG microstate analysis within a double-blind placebo controlled study aimed on a serotonergic model of psychosis induced by psilocybin in healthy volunteers. As psilocybin substantially alters the synchronization and the frequency spectrum of EEG signal in humans, we decided, firstly, to verify the number of archetypal topographies for each subject and each condition in two different bandwidths usual for microstate analysis by cross-validation criterion. Our results showed that the ideal number of CMM for individual subjects in all conditions varied from three to five in both frequency bands. Next, we proceeded and evaluated measures from microstate analysis such as mean microstate duration, microstate frequency, microstates transition probabilities and others. Our analyses suggest very mixed results and question the very primordial analysis choices such as selected frequency range and number of archetypal maps.
- my role: microstate and statistical analyses
- supervised by: Jaroslav Hlinka, Institute of Computer Science, CAS, Prague & Tomáš Páleníček, National Institute of Mental Health
- funded by: Institute of Computer Science, Czech Academy of Sciences: internal funding scheme