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Related Concept Videos

Brain Waves01:23

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

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Related Experiment Video

Updated: Jun 1, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

EEG microstates during resting represent personality differences.

Felix Schlegel1, Dietrich Lehmann, Pascal L Faber

  • 1The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Zurich, Switzerland. felix.schlegel@alumni.ethz.ch

Brain Topography
|June 7, 2011
PubMed
Summary
This summary is machine-generated.

Brain activity differs between paranormal believers and skeptics. Resting electroencephalography (EEG) microstate analysis revealed distinct patterns in brain electrical activity, suggesting differences in information processing related to paranormal belief.

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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Paranormal beliefs are widespread, yet their neurocognitive underpinnings remain unclear.
  • Previous research has explored potential links between paranormal belief and altered cognitive processes.

Purpose of the Study:

  • To investigate differences in spontaneous brain electrical activity between individuals with high and low paranormal beliefs.
  • To explore the relationship between electroencephalography (EEG) microstate parameters and paranormal belief systems.

Main Methods:

  • Utilized 33-channel EEG recordings during resting state in university students.
  • Analyzed EEG data by segmenting into microstates, representing quasi-stable potential distributions.
  • Clustered microstates into four topographical classes (A-D) and analyzed their temporal dynamics and syntax.

Main Results:

  • Significant differences were found in EEG microstate parameters between believers and skeptics.
  • Paranormal believers exhibited higher occurrence and coverage of microstate class B and decreased class C.
  • Distinct microstate sequence patterns (syntax) were observed: believers showed A-C-B-A, while skeptics showed A-B-C-A.

Conclusions:

  • Resting-state EEG microstate analysis can detect personality differences related to paranormal belief.
  • Microstate syntax variations may reflect different information processing strategies associated with paranormal belief.
  • No conclusive evidence was found linking paranormal belief to schizophrenia via microstate analysis.