… suitable to detect abnormal brain activities in the prodromal phase of schizophrenia and
monitor the … Using the LSTM network, we obtained an average classification accuracy of 53%, …

… been observed that a prodromal phase may precede the onset … to investigate resting-state
EEG microstates as biomarker for … with the frontoparietal attention network 48 , and suggested …

… in both sensory/cognitive tasks and the resting-state, with an … Microstate topographies are
mostly clustered into four typical … This finding offered important insights into a relationship …

… of the brain network activity on a large scale (7). Besides, … that the microstate time series
could provide insight into the … of microstates are highly consistent in resting-state EEG and …

… EEG resting-state microstates between medicated and medication-naïve (untreated) first-episode
(FEP) psychosis … in EEG and MEG resting state functional brain network research. Clin …

… microstate segmentation of the resting-state EEG recordings results in useful features that
successfully discriminate patients with schizophrenia … gain insight into the connection between …

… of our methods on resting-state EEG datasets and clinical … used to assess the prodromal
stages of schizophrenia, and our … insights into the dynamic changes in brain networks in different …

… microstates may be correlated with particular resting-state … the presence of microstates and
particular resting-state network actions (… that microstate segmentation of the resting-state EEG …

… We used microstate analysis to transform resting-state high-density electroencephalography
… ; rather, each microstate was related to a resting-state network: microstate A to the auditory …

… research knowledge and scientific insights throughout the last four … in parameters of
resting-state EEG microstate classes AD … of resting-state EEG microstate classes AD associated …