Millisecond by Millisecond, Year by Year: Normative EEG Microstates and Developmental Stages
By Thomas Koenig, L. Prichep, Dietrich Lehmann, P. V. Sosa, Elisabeth Braeker, H. Kleinlogel, R. Isenhart, E. John. NeuroImage, 2002
734 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/04a7c1ca4e149f028af75634c3047f9580518715
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- C. Michel
- Micah M. Murray
- Denis Brunet
- D. Van de Ville
- Juliane Britz
- Enzo Tagliazucchi
- Pablo Balenzuela
- Daniel Fraiman
Citations in the corpus
- Spatiotemporal Analysis of Multichannel EEG: CARTOOL (2011, background): “It leads to a reduction of the data to a stream of microstates of certain durations, on average around 80–100 msec [33].”
- Criticality in Large-Scale Brain fMRI Dynamics Unveiled by a Novel Point Process Analysis (2012, background): “, EEG microstates) (Koenig et al., 2002) and non-stationarities which define discrete segments of electrical activity are observed (Kaplan et al.”
- The functional significance of EEG microstates - Associations with modalities of thinking (2016, neutral): “The topographies were labeled as classes A, B, C, andD based on their bestfit with the four normative classes described in Koenig et al. (2002).”
- Microstates in Resting-State EEG: Current Status and Future Directions (2014, background): “Specifically, results between cohorts should be controlled for brain developmental and behavioral state (Koenig et al., 2002).”
- Neurophysiological studies of auditory verbal hallucinations. (2012, background): “Resting-state data show 4 different classes of microstates that are reliable within and between subjects.(44) They are closely related to specific resting-state networks, as measured by the blood oxygen level–dependent response in fMRI.”
- Topographic ERP Analyses: A Step-by-Step Tutorial Review (2008, background): “[26, 28]), and/or parametric variations in stimulus conditions (e.”
- Towards the utilization of EEG as a brain imaging tool (2012, background): “these four microstates are around 80–150 ms (Koenig et al., 2002).”
- Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI (2019, background): “The following 7 criteria were taken from (Charrad et al., 2014; Krzanowski and Lai, 1988; Milligan and Cooper, 1985; Pascual-Marqui et al., 1995): 1.”
- EEG microstate sequences in healthy humans at rest reveal scale-free dynamics (2010, background): “Moreover, during rest, four dominant microstates are systematically observed as confirmed by a comprehensive study of 496 subjects (15).”
- Electroencephalographic Resting-State Networks: Source Localization of Microstates (2017, positive): “…global field power (GFP) peaks to maximize the signal to noise ratio and focus on moments of high global neuronal synchronization (Britz et al., 2010; Koenig et al., 2002; Pascual-Marqui et al., 1995; Tomescu et al., 2014), for a discussion on the advantages and limits of this approach (Ga ¨ rtner…”
- Age-related neural dynamics of empathy in preschoolers: an EEG study with naturalistic viewing (2026, unknown): “The extracted GFP peaks were then subjected to a k-means clustering algorithm (Koenig et al. 2002) to identify the predominant topographical patterns present across all experimental conditions.”
- Age-Related Characteristics of Resting-State Electroencephalographic Signals and the Corresponding Analytic Approaches: A Review (2024, background): “In addition, this study showed that older adults tended to have a long duration and low occurrence of microstates, which is consistent with the results of the two studies mentioned above [148,149].”