scholarly journals Cognitive, Affective, and Motivational Changes during Ostracism: An ERP, EMG, and EEG Study Using a Computerized Cyberball Task

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Taishi Kawamoto ◽  
Hiroshi Nittono ◽  
Mitsuhiro Ura
Keyword(s):  
Mean Amplitude ◽  
Psychological Status ◽  
Emg Activity ◽  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry ◽  
Psychological States ◽  
Corrugator Supercilii ◽  
Withdrawal Motivation ◽  
Time Changes ◽  
Motivational Changes

Individuals are known to be highly sensitive to signs of ostracism, such as being ignored or excluded; however, the cognitive, affective, and motivational processes underlying ostracism have remained unclear. We investigated temporal changes in these psychological states resulting from being ostracized by a computer. Using event-related brain potentials (ERPs), the facial electromyogram (EMG), and electroencephalogram (EEG), we focused on the P3b amplitude, corrugator supercilii activity, and frontal EEG asymmetry, which reflect attention directed at stimuli, negative affect, and approach/withdrawal motivation, respectively. Results of the P3b and corrugator supercilii activity replicated findings of previous studies on being ostracized by humans. The mean amplitude of the P3b wave decreased, and facial EMG activity increased over time. In addition, frontal EEG asymmetry changed from relative left frontal activation, suggestive of approach motivation, to relative right frontal activation, indicative of withdrawal motivation. These findings suggest that ostracism by a computer-generated opponent is an aversive experience that in time changes the psychological status of ostracized people, similar to ostracism by human. Our findings also imply that frontal EEG asymmetry is a useful index for investigating ostracism. Results of this study suggest that ostracism has well developed neurobiological foundations.

Resting Frontal Eeg Asymmetry and Personality Traits: A Meta–Analysis

2019 ◽  
Vol 33 (2) ◽  
pp. 154-175 ◽  
Author(s):  
Niclas Kuper ◽  
Wiebke Käckenmester ◽  
Jan Wacker
Keyword(s):  
Personality Traits ◽  
Meta Analysis ◽  
Eeg Asymmetry ◽  
Frontal Asymmetry ◽  
Quantitative Review ◽  
Frontal Eeg Asymmetry ◽  
Personality Psychology ◽  
Withdrawal Motivation ◽  
Approach And Withdrawal ◽  
The Relationship

Frontal asymmetry has been widely used as a marker of emotion, motivation, and psychopathology. When assessed during the resting state, it is regarded as an index of trait approach and withdrawal motivation. However, the replicability of these associations with personality is currently unclear. The present meta–analysis seeks to provide a comprehensive quantitative review of the relationship between personality traits and resting electroencephalographic (EEG) frontal asymmetry. We distinguished five personality clusters: extraversion, neuroticism, impulsivity, anger, and defensiveness. Data from 79 independent samples with overall 5700 participants were included in the meta–analysis. The results revealed that less than 0.4% of the variance in extraversion and neuroticism could be explained by resting frontal asymmetry. Similarly, a small effect was observed for trait anger, and a small–sized to medium–sized effect was observed for defensiveness, although the number of studies was very low. No significant effect emerged for impulsivity. The effects were further reduced after adjustment for publication bias. Given some evidence for heterogeneity, sub–traits were analysed, and methodological moderators were investigated. Based on the results, we conclude that the validity of resting frontal asymmetry as a marker for personality is not supported. Finally, recommendations are given to increase the replicability of frontal asymmetry research. © 2019 European Association of Personality Psychology

scholarly journals Frontal EEG asymmetry in infants observing separation and comforting events: The role of infants’ attachment relationship

2021 ◽  
Vol 48 ◽  
pp. 100941
Author(s):  
Szilvia Biro ◽  
Mikko J. Peltola ◽  
Rens Huffmeijer ◽  
Lenneke R.A. Alink ◽  
Marian J. Bakermans-Kranenburg ◽  
...  
Keyword(s):  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry ◽  
Attachment Relationship

scholarly journals Infant frontal EEG asymmetry in relation with postnatal maternal depression and parenting behavior

2017 ◽  
Vol 7 (3) ◽  
pp. e1057-e1057 ◽  
Author(s):  
D J Wen ◽  
N N Soe ◽  
L W Sim ◽  
S Sanmugam ◽  
K Kwek ◽  
...  
Keyword(s):  
Maternal Depression ◽  
Parenting Behavior ◽  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry

Resting frontal EEG asymmetry in adolescents with major depression: Impact of disease state and comorbid anxiety disorder

2018 ◽  
Vol 129 (12) ◽  
pp. 2577-2585 ◽  
Author(s):  
Lisa Feldmann ◽  
Charlotte E. Piechaczek ◽  
Barbara D. Grünewald ◽  
Verena Pehl ◽  
Jürgen Bartling ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Major Depression ◽  
Disease State ◽  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry ◽  
Comorbid Anxiety

scholarly journals Low-Frequency Oscillations (<0.3 Hz) in the Electromyographic (EMG) Activity of the Human Trapezius Muscle During Sleep

2002 ◽  
Vol 88 (3) ◽  
pp. 1177-1184 ◽  
Author(s):  
R. H. Westgaard ◽  
P. Bonato ◽  
K. A. Holte
Keyword(s):  
Heart Rate ◽  
Muscle Activity ◽  
Activity Pattern ◽  
Sudden Change ◽  
Mean Amplitude ◽  
Activity Level ◽  
Emg Activity ◽  
Similar Frequency ◽  
Emg Signal ◽  
The Mean

The surface electromyographic (EMG) signal from right and left trapezius muscles and the heart rate were recorded over 24 h in 27 healthy female subjects. The root-mean-square (RMS) value of the surface EMG signals and the heartbeat interval time series were calculated with a time resolution of 0.2 s. The EMG activity during sleep showed long periods with stable mean amplitude, modulated by rhythmic components in the frequency range 0.05–0.2 Hz. The ratio between the amplitude of the oscillatory components and the mean amplitude of the EMG signal was approximately constant over the range within which the phenomenon was observed, corresponding to a peak-to-peak oscillatory amplitude of ∼10% of the mean amplitude. The duration of the periods with stable mean amplitude ranged from a few minutes to ∼1 h, usually interrupted by a sudden change in the activity level or by cessation of the muscle activity. Right and left trapezius muscles presented the same pattern of FM. In supplementary experiments, rhythmic muscle activity pattern was also demonstrated in the upper extremity muscles of deltoid, biceps, and forearm flexor muscles. There was no apparent association between the rhythmic components in the muscle activity pattern and the heart rate variability. To our knowledge, this is the first time that the above-described pattern of EMG activity during sleep is documented. On reanalysis of earlier recorded trapezius motor unit firing pattern in experiments on awake subjects in a situation with mental stress, low-FM of firing with similar frequency content was detected. Possible sources of rhythmic excitation of trapezius motoneurons include slow-wave cortical oscillations represented in descending cortico-spinal pathways, and/or activation by monoaminergic pathways originating in the brain stem reticular formation. The analysis of muscle activity patterns may provide an important new tool to study neural mechanisms in human sleep.

scholarly journals Rapid assessment and simulation study of the physiological and psychological state of coal miners

2021 ◽  
Vol 245 ◽  
pp. 01060
Author(s):  
Jin Gang ◽  
Zhang JinSuo ◽  
Huang YiXin
Keyword(s):  
Physiological State ◽  
Rapid Assessment ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Shaanxi Province ◽  
Psychological Status ◽  
Psychological State ◽  
Rapid Evaluation ◽  
Coal Miners ◽  
Psychological States

In order to achieve a rapid evaluation of the physiological and psychological state of miners and to solve the problem of how to prevent human-caused accidents underground. Based on the existing literature and expert interviews, a rapid evaluation index system consisting of 2 aspects of physiological state and psychological state, 11 indicators such as body temperature, blood pressure and heart rate is established, and the index weights are determined by using AHP hierarchical analysis. Based on the weights, the physiological and psychological status of coal miners is classified into four levels: excellent, good, medium, and poor. Evaluation criteria also is established. A fuzzy comprehensive evaluation model of coal miners’ physiological and psychological states is constructed, and the subordination suitable for the evaluation of coal miners’ physiological and psychological states is given. Degree function. Using MATLAB2016a to randomly simulate 1000 sets of index data and perform evaluation and analysis, the results found that the proportions of evaluation as excellent and good are 36% and 35%, respectively; the proportions of neutral and poor are 16% and 13%, respectively. The evaluation of the physiological and psychological states of five coal miners in a coal mine in Shaanxi Province, with all results above “good”, is verified to be consistent with reality. Through simulation analysis and example verification, it is shown that the model is reasonable and applicable to the group of coal miners, and is expected to provide theoretical support for the development of subsequent rapid assessment software systems.

scholarly journals Frontal EEG asymmetry and later behavior vulnerability in infants with congenital visual impairment

2017 ◽  
Vol 128 (11) ◽  
pp. 2191-2199 ◽  
Author(s):  
Michelle A. O'Reilly ◽  
Joe Bathelt ◽  
Elena Sakkalou ◽  
Hanna Sakki ◽  
Alison Salt ◽  
...  
Keyword(s):  
Visual Impairment ◽  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry
Sign in / Sign up

Export Citation Format

Share Document