EEG-defined functional microstates as basic building blocks of mental processes

Lehmann, Dietrich; Michel, Christoph M.

doi:10.1016/j.clinph.2010.11.003

Cited by 38 publications

(29 citation statements)

References 21 publications

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“…Two studies have also investigated patients at high risk for developing schizophrenia (Andreou et al, 2014;Tomescu et al, 2014), while an additional study examined differences in EEG microstates in patients with schizophrenia who reported hallucinations (Kindler et al, 2011) (discussed in (Lehmann and Michel, 2011). Seven of these studies were included in a recent meta-analysis by Rieger and colleagues .…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

2018

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SummaryThe present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This method involves the examination of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi-stable, suggesting quasi-simultaneity of activity among the nodes of largescale networks. A few prototypic microstates, which occur in a repetitive sequence across time, can be reliably identified across participants. Researchers have proposed that these microstates represent the basic building blocks of the chain of spontaneous conscious mental processes, and that their occurrence and temporal dynamics determine the quality of mentation. Several studies have further demonstrated that disturbances of mental processes associated with neurological and psychiatric conditions manifest as changes in the temporal dynamics of specific microstates. Combined EEG-fMRI studies and EEG source imaging studies have indicated that EEG microstates are closely associated with resting-state networks as identified using fMRI. The scale-free properties of the time series of EEG microstates explain why similar networks can be observed at such different time scales.The present review will provide an overview of these EEG microstates, available methods for analysis, the functional interpretations of findings regarding these microstates, and their behavioral and clinical correlates.

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Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

2018

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“…The four maps have been labeled arbitrarily with the letters A, B, C and D and have been shown to be relatively consistent across subjects of all ages (Koenig et al, 2002). Functionally, EEG microstates are understood to represent spontaneous fluctuations of activity in large scale brain networks (Koenig et al, 2002;Michel et al, 2009) and have been discussed as correlates of information processing steps, in the sense of "atoms of thought" (Lehmann and Michel, 2011). Based on the temporal sequence of the four standard microstate maps, brain activity in wakefulness is described in terms of duration, occurrence rate and transition sequences of each map.…”

Section: Introductionmentioning

confidence: 99%

EEG microstates of wakefulness and NREM sleep

Brodbeck¹,

Kuhn²,

Wegner³

et al. 2012

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“…Microstates have explanatory power, represent functional "mind-states" during information-processing (Lehmann, Ozaki, & Pal, 1987) and are increasingly viewed as the psychophysiological building blocks of cognition (Lehmann & Michel, 2011). Research to date has identified four different classes of microstates, representing about 84% of the variance in the EEG signal.…”

Section: Resultsmentioning

confidence: 99%