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

Abstract

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.

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

“…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.…”

EEG Based Classification of Long-Term Stress Using Psychological Labeling

“…Numerous studies have analyzed brain activities under stressful conditions, which are induced by a task such as impromptu speech, examination, mental task, public speaking, and the cold pressor test [38][39][40][41][42][43]. These studies evaluate short-term induced stress, whereas the classification of long-term stress using EEG has not been widely investigated.…”

Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review

“…The asymmetry index of the EEG signal is the difference of the natural logarithm of the power of the right hemisphere from the left hemisphere of the brain. Commonly used locations for the estimation of the alpha asymmetry in stressrelated studies are F3-F4 (Seo et al, 2008;Lewis et al, 2007) because these locations are directly affected by the stressful events (Qin et al, 2009). However apart from the frontal part of the brain, stress-related studies involving lateral region i.e., F7-F8 (Lopez-Duran et al, 2012), anterior region i.e., Fp1-Fp2 (Peng et al, 2013), and posterior regions i.e., T5-T6 (Minguillon et al, 2016) of the brain have been reported in the literature.…”