EEG microstates during resting represent personality differences.
- Authors
- Schlegel, Felix; Lehmann, Dietrich; Faber, Pascal L; Milz, Patricia; Gianotti, Lorena R R
- Year
- 2012
- Journal
- Brain topography
- PMID
- 21644026
- DOI
- 10.1007/s10548-011-0189-7
We 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 recordings during no-task resting were processed as sequences of momentary potential distribution maps. Based on the maps at peak times of Global Field Power, the sequences were parsed into segments of quasi-stable potential distribution, the 'microstates'. The microstates were clustered into four classes of map topographies (A-D). Analysis of the microstate parameters time coverage, occurrence frequency and duration as well as the temporal sequence (syntax) of the microstate classes revealed significant differences: Believers had a higher coverage and occurrence of class B, tended to decreased coverage and occurrence of class C, and showed a predominant sequence of microstate concatenations from A to C to B to A that was reversed in skeptics (A to B to C to A). Microstates of different topographies, putative "atoms of thought", are hypothesized to represent different types of information processing.The study demonstrates that personality differences can be detected in resting EEG microstate parameters and microstate syntax. Microstate analysis yielded no conclusive evidence for the hypothesized relation between paranormal belief and schizophrenia.
No figures extracted from this document.
No chunks β full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
No citations found.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Advances in Electrophysiological Research. | 2015 | 26259089 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| The temporal dynamics of resting-state EEG microstates reflected the differences in socioeconomic status among college students. | Ren Q et al. | β | 2026 | β |
| Abnormalities of resting-state EEG microstates in older adults with cognitive frailty. | Zhang Y et al. | β | 2025 | β |
| Application of EEG microstates in Parkinson's disease. | Li Z et al. | β | 2025 | β |
| Current Status of Electroencephalography Microstate in Psychiatric Disorders: A Systematic Review and Meta-Analysis. | Vass Γ et al. | β | 2025 | β |
| EEG microstate syntax analysis: A review of methodological challenges and advances. | Haydock D et al. | β | 2025 | β |
| Interconnections and global transitions among functional states encode activity-related dynamics as brain topology changes after yoga training. | Bodda S et al. | β | 2025 | β |
| Neurophysiological Markers of Auditory Verbal Hallucinations in Patients with Schizophrenia: An EEG Microstates Study. | Li S et al. | β | 2025 | β |
| Signs of Problematic Internet use Affect Resting-State EEG Microstates. | Simkute D et al. | β | 2025 | β |
| The neurophysiological mechanisms of emotional conflict are influenced by social associations information of varying valence. | Zheng R et al. | β | 2025 | β |
| Using EEG microstates to examine whole-brain neuronal networks during offline rest consolidation after visual perceptual learning. | Wu D et al. | β | 2025 | β |
| Virtual Reality Experience as Reflected in EEG Microstates. | Ma H et al. | β | 2025 | β |
| A Study on the Effects of Repetitive Transcranial Magnetic Stimulation on EEG Microstate in Patients With Parkinson's Disease. | Liu S et al. | β | 2024 | β |
| Dragon boat exercise reshapes the temporal-spatial dynamics of the brain. | Jiang H et al. | β | 2024 | β |
| EEG Microstates in Social and Affective Neuroscience. | Schiller B et al. | β | 2024 | β |
| Magnetoencephalography-derived oscillatory microstate patterns across lifespan: the Cambridge centre for ageing and neuroscience cohort. | Huang Y et al. | β | 2024 | β |
| Normative Temporal Dynamics of Resting EEG Microstates. | Zanesco AP | β | 2024 | β |
| Trait Aggression is Reflected by a Lower Temporal Stability of EEG Resting Networks. | Kleinert T et al. | β | 2024 | β |
| An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease. | Chu C et al. | β | 2023 | β |
| Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit. | Wen Y et al. | β | 2023 | β |
| EEG spectral and microstate analysis originating residual inhibition of tinnitus induced by tailor-made notched music training. | Zhu M et al. | β | 2023 | β |
| The EEG microstate representation of discrete emotions. | Liu J et al. | β | 2023 | β |
| Towards a dynamical understanding of microstate analysis of M/EEG data. | Jajcay N et al. | β | 2023 | β |
| Dynamic Changes of Brain Activity in Patients With Disorders of Consciousness During Recovery of Consciousness. | Guo Y et al. | β | 2022 | β |
| EEG microstates: Functional significance and short-term test-retest reliability. | Antonova E et al. | β | 2022 | β |
| EEG microstate temporal Dynamics Predict depressive symptoms in College Students. | Qin X et al. | β | 2022 | β |
| Effect of trait anxiety on cognitive flexibility: Evidence from event-related potentials and resting-state EEG. | Du M et al. | β | 2022 | β |
| Event-related microstate dynamics represents working memory performance. | Tamano R et al. | β | 2022 | β |
| Research on Top Archer's EEG Microstates and Source Analysis in Different States. | Gu F et al. | β | 2022 | β |
| Resting state electroencephalography microstates in autism spectrum disorder: A mini-review. | Das S et al. | β | 2022 | β |
| Temporal and Spatial Dynamics of EEG Features in Female College Students with Subclinical Depression. | Zhao S et al. | β | 2022 | β |
| Action Video Gaming Experience Related to Altered Resting-State EEG Temporal and Spatial Complexity. | Cui R et al. | β | 2021 | β |
| Negative Effects of Mobile Phone Addiction Tendency on Spontaneous Brain Microstates: Evidence From Resting-State EEG. | Li H et al. | β | 2021 | β |
| Resting-State EEG Microstates Parallel Age-Related Differences in Allocentric Spatial Working Memory Performance. | JabΓ¨s A et al. | β | 2021 | β |
| Study of EEG microstates in Parkinson's disease: a potential biomarker? | Pal A et al. | β | 2021 | β |
| The Brain Structure and Intrinsic Characters of Falsification Thinking in Conditional Proposition Testing. | Zhang M et al. | β | 2021 | β |
| The metastable brain associated with autistic-like traits of typically developing individuals. | Sase T et al. | β | 2021 | β |
| The Resting-State Electroencephalogram Microstate Correlations With Empathy and Their Moderating Effect on the Relationship Between Empathy and Disgust. | Zhang M et al. | β | 2021 | β |
| EEG microstates associated with intra- and inter-subject alpha variability. | Croce P et al. | β | 2020 | β |
| Emotional working memory training reduces rumination and alters the EEG microstate in anxious individuals. | Pan DN et al. | β | 2020 | β |
| Spatiotemporal EEG microstate analysis in drug-free patients with Parkinson's disease. | Chu C et al. | β | 2020 | β |
| Temporal dynamics of resting EEG networks are associated with prosociality. | Schiller B et al. | β | 2020 | β |
| The Relationships Between Trait Creativity and Resting-State EEG Microstates Were Modulated by Self-Esteem. | Wu X et al. | β | 2020 | β |
| Aberrant Intrinsic Brain Activity in Patients with Autism Spectrum Disorder: Insights from EEG Microstates. | Jia H et al. | β | 2019 | β |
| Hilbert spectral analysis of EEG data reveals spectral dynamics associated with microstates. | Javed E et al. | β | 2019 | β |
| Single-Trial Recognition of Imagined Forces and Speeds of Hand Clenching Based on Brain Topography and Brain Network. | Xiong X et al. | β | 2019 | β |
| The metastable brain associated with autistic-like traits of typically developing individuals | Sase T et al. | β | 2019 | β |
| Transient Topographical Dynamics of the Electroencephalogram Predict Brain Connectivity and Behavioural Responsiveness During Drowsiness. | Comsa IM et al. | β | 2019 | β |
| Calculation and Analysis of Microstate Related to Variation in Executed and Imagined Movement of Force of Hand Clenching. | Fu Y et al. | β | 2018 | β |
| EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review. | Michel CM et al. | β | 2018 | β |
| EEG Microstates Change in Response to Increase in Dopaminergic Stimulation in Typical Parkinson's Disease Patients. | Serrano JI et al. | β | 2018 | β |
| From swing to cane: Sex differences of EEG resting-state temporal patterns during maturation and aging. | Tomescu MI et al. | β | 2018 | β |
| Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography. | Gao F et al. | β | 2018 | β |
| The Dynamic EEG Microstates in Mental Rotation. | Kong W et al. | β | 2018 | β |
| Association Between Resting-State Microstates and Ratings on the Amsterdam Resting-State Questionnaire. | Pipinis E et al. | β | 2017 | β |
| Exploring differences between left and right hand motor imagery via spatio-temporal EEG microstate. | Liu W et al. | β | 2017 | β |
| The EEG microstate topography is predominantly determined by intracortical sources in the alpha band. | Milz P et al. | β | 2017 | β |
| Temporal Dynamics of the Default Mode Network Characterize Meditation-Induced Alterations in Consciousness. | Panda R et al. | β | 2016 | β |
| The functional significance of EEG microstates--Associations with modalities of thinking. | Milz P et al. | β | 2016 | β |
| Advances in Electrophysiological Research. | Kamarajan C et al. | β | 2015 | β |
| A stochastic model for EEG microstate sequence analysis. | GΓ€rtner M et al. | β | 2015 | β |
| How to trust a perfect stranger: predicting initial trust behavior from resting-state brain-electrical connectivity. | Hahn T et al. | β | 2015 | β |
| Microstates in resting-state EEG: current status and future directions. | Khanna A et al. | β | 2015 | β |
| Narcoleptic Patients Show Fragmented EEG-Microstructure During Early NREM Sleep. | Kuhn A et al. | β | 2015 | β |
| Reliability of resting-state microstate features in electroencephalography. | Khanna A et al. | β | 2014 | β |
| Brain activity of women is more fractal than men. | Ahmadi K et al. | β | 2013 | β |
| On the quantization of time-varying phase synchrony patterns into distinct functional connectivity microstates (FCΞΌstates) in a multi-trial visual ERP paradigm. | Dimitriadis SI et al. | β | 2013 | β |