The Effect of an Auditory Stressor, with Respect to Affective Style, on Frontal EEG Asymmetry and ERP Analysis

Seo, Ssang-Hee; Gil, Yeongjun; Lee, Jung-Tae

doi:10.1109/ncm.2008.81

Cited by 6 publications

(6 citation statements)

References 29 publications

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“…In the previous study, we found the relation between the affective style and the alpha asymmetry of auditory stress [27]. Four major results were observed in the present study.…”

Section: Discussionsupporting

confidence: 75%

The Relation between Affective Style of Stressor on EEG Asymmetry and Stress Scale during Multimodal Task

Seo

Gil

Lee

2008

2008 Third International Conference on Convergence and Hybrid Information Technology

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In previous paper, we founded that the affective style of subjects according to an auditory stressor existed. Subjects in the stress group compared to other groups reported a higher level of stress on physiological stress scale. The aim of the current study was to investigate the relation between affective style and stress scale under various stress conditions. This experiment consisted of three sessions such as auditory, movie, and unknot task. We used woman scream, horror movie, and unknot stimuli to evoke stress. We classified the affective style according to task based on EEG asymmetry. The stress scale in stress group was greater than that of other groups for all tasks. Also, a subject who in stress group for specific stimulus was not always in stress group for other stimuli. These results demonstrate that the subjects with the propensity to negative affective style are apt to be stressed.

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“…In the previous study, we found the relation between the affective style and the alpha asymmetry of auditory stress [27]. Four major results were observed in the present study.…”

Section: Discussionsupporting

confidence: 75%

The Relation between Affective Style of Stressor on EEG Asymmetry and Stress Scale during Multimodal Task

Seo

Gil

Lee

2008

2008 Third International Conference on Convergence and Hybrid Information Technology

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“…Although most current day stress arises from psychosocial factors that are not life threatening, the fight-or-flight response may still be generated, for example, during tests or when called upon to give an impromptu speech (Johannes et al 2007). Studies into brain activity patterns under stressful conditions have focused on stress generated by words, examinations, noise, and mental tasks (Matsunami et al, 2001;Lewis et al, 2007;Tucker 1981;Davidson et al, 1979;Seo et al, 2008a;Seo et al, 2009). A major aspect of neurophysiological research into emotion concerns hemispheric specialization.…”

Section: Eegmentioning

confidence: 99%

Stress and EEG

Seo¹,

Lee²,

Busan³

2010

Convergence and Hybrid Information Technologies

110

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“…Among the measures developed to quantify the amplitude and spectral content of EEG signals within the alpha band and to monitor how they change across experimental conditions (for a review see bazanova and Vernon, 2014), the individual alpha peak frequency (iAPF) has gained increasing attention (e.g., Cheron et al, 2016) because it was demonstrated to account for latent factors of general cognitive abilities (Grandy et al, 2013a). Therefore, iAPF has been increasingly employed as a neural marker of mental stressful conditions in sport science (Matsunami et al, 2001; Lewis et al, 2007; Seo et al, 2008, 2009), and recent studies reported an iAPF increase after acute physical effort induced by an endurance cycling task, speculating that the observed modulation of the iAPF could be related to exercise-induced activation of the brain’s arousal mechanisms and to enhanced alertness during performance (Gutmann et al, 2015, 2018b). Although there have been cases where no significant changes of iAPF were observed when comparing baseline iAPF with pre- and post-task iAPF (Christie et al, 2017), corroborating the notion that iAPF values are invariant (Grandy et al, 2013b), nonetheless the iAPF was suggested as a useful measure to study fatigue and stress-recovery balance (Bertollo et al, 2017) to prevent dysfunctional states such as overtraining and/or injuries in athletes, and to modulate the individual training load in different sports.…”

Section: Introductionmentioning

confidence: 99%

Dry EEG in Sports Sciences: A Fast and Reliable Tool to Assess Individual Alpha Peak Frequency Changes Induced by Physical Effort

et al. 2019

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Novel state-of-the-art amplifier and cap systems enable Electroencephalography (EEG) recording outside of stationary lab systems during physical exercise and body motion. However, extensive preparation time, cleaning, and limited long-term stability of conventional gel-based electrode systems pose significant limitations in out-of-the-lab conditions. Dry electrode systems may contribute to rapid and repetitive mobile EEG acquisition with significantly reduced preparation time, reduced cleaning requirements, and possible self-application by the volunteer but are known for higher channel failure probability and increased sensitivity to movement artifacts. We performed a counterbalanced repeated measure endurance cycling study to objectively validate the performance and applicability of a novel commercially available 64-channel dry electrode cap for sport science. A total of 17 healthy volunteers participated in the study, performing an endurance cycling paradigm comprising five phases: (I) baseline EEG, (II) pre-cycling EEG, (III) endurance cycling, (IV) active recovery, and (V) passive recovery. We compared the performance of the 64-channel dry electrode cap with a commercial gel-based cap system in terms of usability metrics, reliability, and signal characteristics. Furthermore, we validated the performance of the dry cap during a realistic sport science investigation, verifying the hypothesis of a systematic, reproducible shift of the individual alpha peak frequency (iAPF) induced by physical effort. The average preparation time of the dry cap was one-third of the gel-based electrode caps. The average channel reliability of the dry cap varied between 80 ± 15% (Phase I), 66 ± 19% (Phase III), and 91 ± 10% (Phase V). In comparison, the channel reliability of the gel-based cap varied between 95 ± 3, 85 ± 9, and 82 ± 9%, respectively. No considerable differences were evident for the comfort evaluations nor the signal characteristics of both caps. A within-volunteers repeated measure analysis of variance (RM-ANOVA) did not show significant effects of the electrode type on the iAPF [F(1,12) = 1.670, p = 0.221, ηp2 = 0.122, Power = 0.222]. However, a significant increase of the iAPF exists from Phase II to Phases IV and V due to exhaustive physical task. In conclusion, we demonstrated that dry electrode cap is equivalent to the gel-based electrode cap based on signal characteristics, comfort, and signal information content, thereby confirming the usefulness of dry electrodes in sports science and other mobile applications involving ample movement.

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The Effect of an Auditory Stressor, with Respect to Affective Style, on Frontal EEG Asymmetry and ERP Analysis

Cited by 6 publications

References 29 publications

The Relation between Affective Style of Stressor on EEG Asymmetry and Stress Scale during Multimodal Task

The Relation between Affective Style of Stressor on EEG Asymmetry and Stress Scale during Multimodal Task

Stress and EEG

Dry EEG in Sports Sciences: A Fast and Reliable Tool to Assess Individual Alpha Peak Frequency Changes Induced by Physical Effort

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