Beta Activities in EEG Associated with Emotional Stress

Hayashi, T.; Okamoto, Eiji; Nishimura, Haruhiko; Mizuno‐Matsumoto, Yuko; Ishii, Ryouhei; Ukai, Shigeo

doi:10.1080/1931308x.2009.10644171

Cited by 39 publications

(38 citation statements)

References 13 publications

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“…This frequency-domain heart rate variability measure is defined as the ratio between the low frequencies and high frequencies of the NN intervals in the ECG signal, and offers information about sympathetic and parasympathetic activity (Berntson et al 1997). An increase in the LF/HF ratio is indicative of increased workload (Hayashi et al 2009;Hjortskov et al 2004). The LF/HF ratio and…”

Section: Regulation Of Experienced Riskmentioning

confidence: 99%

What determines drivers’ speed? A replication of three behavioural adaptation experiments in a single driving simulator study

et al. 2018

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We conceptually replicated three highly cited experiments on speed adaptation, by measuring drivers' experienced risk (galvanic skin response; GSR), experienced task difficulty (self-reported task effort; SRTE) and safety margins (time-to-line-crossing; TLC) in a single experiment. The three measures were compared using a nonparametric index that captures the criteria of constancy during self-paced driving and sensitivity during forced-paced driving. In a driving simulator, 24 participants completed two forced-paced and one self-paced run. Each run held four different lane width conditions. Results showed that participants drove faster on wider lanes, thus confirming the expected speed adaptation. None of the three measures offered persuasive evidence for speed adaptation because they failed either the sensitivity criterion (GSR) or the constancy criterion (TLC, SRTE). An additional measure, steering reversal rate, outperformed the other three measures regarding sensitivity and constancy, prompting a further evaluation of the role of control activity in speed adaptation. Practitioner Summary: Results from a driving simulator experiment suggest that it is not experienced risk, experienced effort or safety margins that govern drivers' choice of speed. Rather, our findings suggest that steering reversal rate has an explanatory role in speed adaptation.

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Section: Regulation Of Experienced Riskmentioning

confidence: 99%

What determines drivers’ speed? A replication of three behavioural adaptation experiments in a single driving simulator study

et al. 2018

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“…Other researchers found conflicting results regarding the EEG activities in stress compared to non-stress conditions. Hayashi et al (26) found that beta activity was higher in the frontal and temporal areas in non-stress than in stress condition under emotionally unpleasant stimuli. They induced stress by audiovisual stimuli.…”

Section: Discussionmentioning

confidence: 98%

Gender Difference in the Effect of Examination Stress on Brain Oscillations during Memory Tasks

Yousef

Ibrahim

El-Baz

et al. 2014

Suez Canal University Medical Journal

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Background: Researches revealed that increased levels of stress hormones lead to enhancement of memory consolidation in rodents. Recently, it became apparent that the brain oscillations reflect cognitive aspects and information processing in the brain. Quantitative electroencephalogram (qEEG) provides an objective assessment of the electrical activity of the brain via many techniques such as power spectral analysis and coherence. Aim: To assess the effect of gender on the qEEG oscillations during the delayed memory retrieval after exposure to acute stress. Subjects and Methods: This prospective (longitudinal) study was applied on 34 healthy undergraduate medical students from both genders (17 males and 17 females) in the Faculty of Medicine, Suez Canal University. The qEEG analysis was done in neurology department, Suez Canal University Hospital using the relative power (RP) during memory tasks. Serum cortisol was analyzed by enzyme linked immunosorbent assay (ELISA) as a measure for stress. Results: The results revealed insignificant effect of gender on the quantitative analysis of EEG oscillations regarding the mean relative power in all frequency bands (delta "δ": 2.36±0.72; 2.04±0.46, theta "Ɵ": 13.72±3.13; 12.72±3.58, alpha "α": 12.72±3.58; 18.50±3.81 and beta "β": 33.26±3.23; 32.72±4.47 for males and females respectively during the examination period). Whereas, there was a positive correlation between the serum cortisol level and the mean relative power of delta (r: 0.53, p=0.03), and theta (r: 0.55, p=0.02) and a negative correlation with beta (r:-0.51, p= 0.04) bands in males only. Conclusion: There are positive correlations for delta and theta bands and negative correlation for beta band between the quantitative electroencephalographic analysis (RP) with the hormonal measure of the stress in spite of the insignificant changes in the EEG oscillations in the non-stress and stress periods.

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“…Using EEG, we have shown that emotionally pleasant and unpleasant stimuli evoked different cerebral cortex activities from the resting states . We have also reported, using electrocardiography (ECG) and plethysmography, that ANS responded to emotional stimuli .…”

Section: Introductionmentioning

confidence: 97%

How do the parasympathetic nervous system and EEG respond to emotional memory recall?

Mizuno‐Matsumoto

Inoguchi

Kobayashi

et al. 2019

IEEJ Transactions Elec Engng

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An emotional event can provoke somatic symptoms as a consequence of brain responses accompanying reactions of the autonomic nervous system (ANS). ANS consists of the sympathetic nervous system and the parasympathetic nervous system, and their anatomical and physiological mechanisms are different. The aim of this study was to evaluate the time lag between the responses of electroencephalography (EEG) and the parasympathetic nervous system (from electrocardiography; ECG) during emotional recall. EEG and ECG of healthy young adults were simultaneously recorded during the recall of emotionally pleasant and unpleasant audiovisual stimuli, with three repetitions. A time series (TS) of relative power spectra from EEG and a TS of power spectral values in high frequency (HF) of RR intervals in ECG were obtained using fast Fourier transform. The time lag between the TS of EEG and HF was calculated using wavelet cross‐correlation analysis. The results indicated that the cerebral cortex responded earlier than the parasympathetic nervous system to the pleasant stimuli. In contrast, the parasympathetic nervous system responded earlier than the cerebral cortex to the unpleasant stimuli. These events constantly appeared in both unfamiliar and familiar situations. This study quantitatively shows that the parasympathetic nervous system quickly and constantly reacts to emotionally unpleasant stimuli. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Beta Activities in EEG Associated with Emotional Stress

Cited by 39 publications

References 13 publications

What determines drivers’ speed? A replication of three behavioural adaptation experiments in a single driving simulator study

What determines drivers’ speed? A replication of three behavioural adaptation experiments in a single driving simulator study

Gender Difference in the Effect of Examination Stress on Brain Oscillations during Memory Tasks

How do the parasympathetic nervous system and EEG respond to emotional memory recall?

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