Literature DB >> 21644026

EEG microstates during resting represent personality differences.

Felix Schlegel1, Dietrich Lehmann, Pascal L Faber, Patricia Milz, Lorena R R Gianotti.   

Abstract

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.

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Year:  2011        PMID: 21644026     DOI: 10.1007/s10548-011-0189-7

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  23 in total

1.  Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography.

Authors:  Fei Gao; Huibin Jia; Yi Feng
Journal:  J Vis Exp       Date:  2018-06-15       Impact factor: 1.355

2.  How to trust a perfect stranger: predicting initial trust behavior from resting-state brain-electrical connectivity.

Authors:  Tim Hahn; Karolien Notebaert; Christine Anderl; Vanessa Teckentrup; Anja Kaßecker; Sabine Windmann
Journal:  Soc Cogn Affect Neurosci       Date:  2014-09-30       Impact factor: 3.436

Review 3.  Microstates in resting-state EEG: current status and future directions.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Christoph M Michel; Faranak Farzan
Journal:  Neurosci Biobehav Rev       Date:  2014-12-17       Impact factor: 8.989

4.  Temporal and Spatial Dynamics of EEG Features in Female College Students with Subclinical Depression.

Authors:  Shanguang Zhao; Siew-Cheok Ng; Selina Khoo; Aiping Chi
Journal:  Int J Environ Res Public Health       Date:  2022-02-04       Impact factor: 3.390

5.  EEG microstate temporal Dynamics Predict depressive symptoms in College Students.

Authors:  Xiaorong Qin; Jingyi Xiong; Ruifang Cui; Guimin Zou; Changquan Long; Xu Lei
Journal:  Brain Topogr       Date:  2022-07-05       Impact factor: 4.275

6.  Dynamic Changes of Brain Activity in Patients With Disorders of Consciousness During Recovery of Consciousness.

Authors:  Yongkun Guo; Ruiqi Li; Rui Zhang; Chunying Liu; Lipeng Zhang; Dexiao Zhao; Qiao Shan; Xinjun Wang; Yuxia Hu
Journal:  Front Neurosci       Date:  2022-06-02       Impact factor: 5.152

7.  Reliability of resting-state microstate features in electroencephalography.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Faranak Farzan
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

8.  Action Video Gaming Experience Related to Altered Resting-State EEG Temporal and Spatial Complexity.

Authors:  Ruifang Cui; Jinliang Jiang; Lu Zeng; Lijun Jiang; Zeling Xia; Li Dong; Diankun Gong; Guojian Yan; Weiyi Ma; Dezhong Yao
Journal:  Front Hum Neurosci       Date:  2021-06-29       Impact factor: 3.169

9.  Study of EEG microstates in Parkinson's disease: a potential biomarker?

Authors:  Anita Pal; Madhuri Behari; Vinay Goyal; Ratna Sharma
Journal:  Cogn Neurodyn       Date:  2020-10-19       Impact factor: 3.473

Review 10.  Advances in Electrophysiological Research.

Authors:  Chella Kamarajan; Bernice Porjesz
Journal:  Alcohol Res       Date:  2015
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