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EEG microstates of dreams

Lucie Bréchet, Denis Brunet, Lampros Perogamvros, Giulio Tononi, Christoph M Michel
2020 Scientific Reports  
Here we address this issue by comparing the EEG activity preceding awakenings with recalled vs. no recall of dreams using the EEG microstate approach.  ...  Further, within NREM sleep, microstate 3 was more expressed during periods followed by dream recall, whereas microstate 4 was less expressed.  ...  which brain regions are generating these EEG microstates.  ... 
doi:10.1038/s41598-020-74075-z pmid:33051536 pmcid:PMC7553905 fatcat:hjh3loafwvamviotb2ut5m4wyi

EEG microstate features for schizophrenia classification

Kyungwon Kim, Nguyen Thanh Duc, Min Choi, Boreom Lee
2021 PLoS ONE  
EEG microstate features applied with conventional EEG features also showed better classification performance than conventional EEG features alone.  ...  EEG recordings of patients and controls showed different microstate features.  ...  EEG microstate segmentation methods.  ... 
doi:10.1371/journal.pone.0251842 pmid:33989352 pmcid:PMC8121321 fatcat:y6xeas6virgbxbpunrzh2r6fku

Restate the reference for EEG microstate analysis [article]

Shiang Hu, Esin Karahan, Pedro A. Valdes-Sosa
2018 arXiv   pre-print
In this study, we design the microstate-based EEG forward model, and apply different references for microstates analysis.  ...  A method, termed microstates, identifying spatiotemporal EEG features as the quasi-stable topography states in milliseconds, suggests its potential as biomarkers of neurophysiological disease.  ...  An effective way to investigate the effects of EEG references is to generate the microstates projected from the known source activities via simulation. 7 Microstate-based EEG generation A microstate-based  ... 
arXiv:1802.02701v1 fatcat:6cajhboo2bf2bbkci5qivqfaqi

EEG microstate analysis in human motor corrections

L. Dipietro, M. Plank, H. Poizner, H. I. Krebs
2012 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)  
In this study we used microstate analysis to model building blocks of neuroelectrical activity recorded from high-density electroencephalography (64-channel EEG) from healthy subjects during a reaching  ...  We found that each kinematic submovement was accompanied by a stereotyped set of microstates generated by the activity of a frontoparietal network.  ...  Previous results suggest that recovery might be characterized by a progressive decrease in number of EEG microstates and/or of EEG microstate switching [9, 11] .  ... 
doi:10.1109/biorob.2012.6290832 fatcat:5ibuj5srh5fl7cbqfexoegp4xm

EEG Microstates During Resting Represent Personality Differences

Felix Schlegel, Dietrich Lehmann, Pascal L. Faber, Patricia Milz, Lorena R. R. Gianotti
2011 Brain Topography  
in resting EEG microstate parameters and microstate syntax.  ...  investigated the spontaneous brain electric activity of 13 skeptics and 16 believers in paranormal phenomena; they were university students assessed with a self-report scale about paranormal beliefs. 33-channel EEG  ...  Multichannel EEG displayed as sequence of momentary potential topographies (maps) shows quasi-stable configurations (mean duration of about 100 ms for spontaneous EEG) called functional microstates (Lehmann  ... 
doi:10.1007/s10548-011-0189-7 pmid:21644026 fatcat:xebuegvy2rgnxi7v6ynr4qaa7e

The Dynamic EEG Microstates in Mental Rotation

Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun
2018 Sensors  
We applied the microstate method to investigate the microstates conveyed by the event-related potential extracted from EEG data during mental rotation, and obtained four microstate modes (referred to as  ...  In this paper, we mainly proposed an approach based on microstates to examine the encoding of mental rotation from the spatial-temporal changes of EEG signals.  ...  The microstates sequence adds the unique feature of reflecting the underlying EEG periodicity. Thus, we provide evidence that periodicity is an intrinsic feature of EEG derived microstates sequence.  ... 
doi:10.3390/s18092920 pmid:30177611 pmcid:PMC6165343 fatcat:65lmuzc7l5fh3ihml3mjqzn7pi

EEG-microstate dependent emergence of perceptual awareness

Juliane Britz, Laura Díaz Hernàndez, Tony Ro, Christoph M. Michel
2014 Frontiers in Behavioral Neuroscience  
We investigated whether the differences in perceptual awareness for stimuli at the threshold of awareness can arise from different global brain states before stimulus onset indexed by the EEG microstate  ...  Two distinct pre-stimulus scalp potential fields (microstate maps) dissociated correct identification with and without awareness, and their estimated intracranial generators were stronger in primary visual  ...  These brief states of stable topography have been named the "EEG microstates".  ... 
doi:10.3389/fnbeh.2014.00163 pmid:24860450 pmcid:PMC4030136 fatcat:s2p7z3euwzf7fchjba4enghtsm

EEG microstates are a candidate endophenotype for schizophrenia

Janir Ramos da Cruz, Ophélie Favrod, Maya Roinishvili, Eka Chkonia, Andreas Brand, Christine Mohr, Patrícia Figueiredo, Michael H. Herzog
2020 Nature Communications  
Patients with schizophrenia and their siblings showed increased presence of microstate class C and decreased presence of microstate class D compared to controls.  ...  Electroencephalogram microstates are recurrent scalp potential configurations that remain stable for around 90 ms.  ...  EEG microstate analysis.  ... 
doi:10.1038/s41467-020-16914-1 pmid:32555168 fatcat:ipl4xht2ezh47pjlej6g44mlza

Noisy network attractor models for transitions between EEG microstates [article]

Jennifer Creaser, Peter Ashwin, Claire Postlethwaite, Juliane Britz
2019 arXiv   pre-print
This property is crucial for any approach to model EEG microstates.  ...  We fit these models to capture the statistical properties of microstate sequences from EEG data recorded inside and outside the MRI scanner and show that the processing required to separate the EEG signal  ...  of the dominant EEG microstates.  ... 
arXiv:1903.05590v1 fatcat:3y7er4rhwfb6jojbzpxecb26ay

Beyond broadband: towards a spectral decomposition of EEG microstates [article]

Victor Ferat, Martin Seeber, Christoph M Michel, Tomas Ros
2020 bioRxiv   pre-print
Microstate (MS) analysis takes advantage of the electroencephalogram's (EEG) high temporal resolution to segment the brain′s electrical potentials into a temporal sequence of scalp topographies.  ...  Overall, our findings demonstrate the value and validity of spectral MS analysis for decomposing the full-band EEG into a richer palette of frequency-specific microstates.  ...  microstate dynamics.  ... 
doi:10.1101/2020.10.16.342378 fatcat:hmb4xyndxvg2dcb76fof2kkk3e

Microstate analysis of the EEG using local global graphs

Kostas Michalopoulos, Nikolaos Bourbakis
2013 13th IEEE International Conference on BioInformatics and BioEngineering  
The LG graph modeling of the EEG topography provides a flexible descriptor for the EEG topography and can be used for the efficient microstate segmentation of the EEG.  ...  In this paper, we present a technique for the extraction, detection and representation of EEG microstates based on the Local Global graph(LG graph).  ...  Cristin Bigan at the Ecological University of Bucharest, Romania for providing the EEG dataset.  ... 
doi:10.1109/bibe.2013.6701583 dblp:conf/bibe/MichalopoulosB13 fatcat:2wzpa2mjyrcdzeo76utmsextza

Pre-stimulus EEG Microstates Correlate With Anticipatory Alpha Desynchronization

Sara Spadone, Pierpaolo Croce, Filippo Zappasodi, Paolo Capotosto
2020 Frontiers in Human Neuroscience  
Here, after extracting the microstates during the expectancy of the semantic memory task, we investigate the correlations between the microstate features and the anticipatory alpha (8-12 Hz) power reduction  ...  stronger the decrease (percentage) in the alpha power, the higher the FOO of the dominant microstate.  ...  AUTHOR CONTRIBUTIONS PCa recorded and collected EEG data. SS and PCr performed the data analysis. All authors participated in the study design, scientific discussion, and manuscript preparation.  ... 
doi:10.3389/fnhum.2020.00182 pmid:32536858 pmcid:PMC7267023 fatcat:pb6sr3vp3fh7ffmk5tqr6nkilm

EEG Microstates and Psychosocial Stress During an Exchange Year

Nursija Kadier, Maria Stein, Thomas Koenig
2020 Brain Topography  
Considering a radical change of one's psychosocial environment as a significant stressor, we analyzed psychotic symptoms and EEG microstate data in teenage exchange-students at an early and a later phase  ...  psychosocial stressor would not only increase the number of and stress caused by psychosis-like symptoms (like delusion-like symptoms or auditory hallucinations) in healthy subjects but also elicit changes in EEG  ...  We used this situation to assess whether a transient stressor would also elicit changes of resting-state EEG microstates that were previously linked to schizophrenia (Rieger et al. 2016 ), or to microstate  ... 
doi:10.1007/s10548-020-00806-0 pmid:33169276 fatcat:42b23ln2avfvlpvpqa2oie7epy

Information-Theoretical Analysis of EEG Microstate Sequences in Python

Frederic von Wegner, Helmut Laufs
2018 Frontiers in Neuroinformatics  
Microstate time series are obtained by competitively fitting the microstate maps back into the EEG data set, i.e., by substituting the EEG data at a given time with the label of the microstate that has  ...  clustered into a set of representative maps called EEG microstates.  ...  The microstate algorithm transforms an EEG data set into a sequence of microstate labels, according to maximum similarity between the candidate microstates and the actual EEG topography.  ... 
doi:10.3389/fninf.2018.00030 pmid:29910723 pmcid:PMC5992993 fatcat:czb2anczp5hdtjmpphemejquku

Noisy network attractor models for transitions between EEG microstates

Jennifer Creaser, Peter Ashwin, Claire Postlethwaite, Juliane Britz
2021 Journal of Mathematical Neuroscience  
We compare the model generated sequences to microstate sequences from EEG data collected from healthy subjects at rest.  ...  Electroencephalogram (EEG) microstates are brief periods of stable scalp topography that have been identified as the electrophysiological correlate of functional magnetic resonance imaging defined resting-state  ...  Abbreviations EEG, Electroencephalogram; MRI, Magnetic resonance imaging; fMRI, Functional magnetic resonance imaging; RSNs, Resting-state networks; LRTC, Long-range temporal correlations; BOLD, Blood-oxygen-level-dependent  ... 
doi:10.1186/s13408-020-00100-0 pmid:33394133 fatcat:sf6lmi444ffqre2snlhcq5ffuy
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