Alpha frontal asymmetry underlies individual differences in reactivity to acute psychosocial stress in males

Ma, Yuanquan; Peng, Huini; Liu, Hongtao; Gu, Ruolei; Xiao-hu, Peng; Wu, Jianhui

doi:10.1111/psyp.13893

Cited by 8 publications

(11 citation statements)

References 74 publications

(95 reference statements)

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“…To reconcile this outcome, we might consider the individual difference in resting state alpha power. Several studies have shown that alpha power asymmetry in the frontal cortex is associated with cognitive control or stress management (Ambrosini and Vallesi 2016;Ma et al 2021). That is, the inherent difference in a participant's alpha power can affect the cybersickness-originated brain activity, and it is critical to clarify the source of alpha power changes.…”

Section: Discussionmentioning

confidence: 99%

Brain activity during cybersickness: a scoping review

Chang

Billinghurst

2023

Virtual Reality

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Virtual reality (VR) experiences can cause a range of negative symptoms such as nausea, disorientation, and oculomotor discomfort, which is collectively called cybersickness. Previous studies have attempted to develop a reliable measure for detecting cybersickness instead of using questionnaires, and electroencephalogram (EEG) has been regarded as one of the possible alternatives. However, despite the increasing interest, little is known about which brain activities are consistently associated with cybersickness and what types of methods should be adopted for measuring discomfort through brain activity. We conducted a scoping review of 33 experimental studies in cybersickness and EEG found through database searches and screening. To understand these studies, we organized the pipeline of EEG analysis into four steps (preprocessing, feature extraction, feature selection, classification) and surveyed the characteristics of each step. The results showed that most studies performed frequency or time-frequency analysis for EEG feature extraction. A part of the studies applied a classification model to predict cybersickness indicating an accuracy between 79 and 100%. These studies tended to use HMD-based VR with a portable EEG headset for measuring brain activity. Most VR content shown was scenic views such as driving or navigating a road, and the age of participants was limited to people in their 20 s. This scoping review contributes to presenting an overview of cybersickness-related EEG research and establishing directions for future work.

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Section: Discussionmentioning

confidence: 99%

Brain activity during cybersickness: a scoping review

Chang

Billinghurst

2023

Virtual Reality

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“…We speculate that this finding is rooted in the dominant influence of the characteristics of the eustress group on the overall stress group. Since it is generally acknowledged that the ability of performing tasks follows the inverted U-shaped Yerkes–Dodson model, the abilities of performing tasks under a positive stress condition (eustress) can be more enhanced than that under extreme conditions (negative stress called distress) [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ]. This explicitly means that the members of the eustress group work faster and more efficiently than those of the other two groups.…”

Section: Discussionmentioning

confidence: 99%

“…The laterality index for stress (LIS) is mainly used to calculate an asymmetry coefficient in left/right brain patterns between stressed people and unstressed people [ 28 ]. Most studies have shown dominant brain activity in the right hemisphere of people stressed by mental stress tasks [ 29 , 30 , 31 ]. Here, the right hemisphere plays an important role in the diagnosis of stress.…”

Section: Introductionmentioning

confidence: 99%

Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response

2022

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A stress group should be subdivided into eustress (low-stress) and distress (high-stress) groups to better evaluate personal cognitive abilities and mental/physical health. However, it is challenging because of the inconsistent pattern in brain activation. We aimed to ascertain the necessity of subdividing the stress groups. The stress group was screened by salivary alpha-amylase (sAA) and then, the brain’s hemodynamic reactions were measured by functional near-infrared spectroscopy (fNIRS) based on the near-infrared biosensor. We compared the two stress subgroups categorized by sAA using a newly designed emotional stimulus-response paradigm with an international affective picture system (IAPS) to enhance hemodynamic signals induced by the target effect. We calculated the laterality index for stress (LIS) from the measured signals to identify the dominantly activated cortex in both the subgroups. Both the stress groups exhibited brain activity in the right frontal cortex. Specifically, the eustress group exhibited the largest brain activity, whereas the distress group exhibited recessive brain activity, regardless of positive or negative stimuli. LIS values were larger in the order of the eustress, control, and distress groups; this indicates that the stress group can be divided into eustress and distress groups. We built a foundation for subdividing stress groups into eustress and distress groups using fNIRS.

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“…Participants indicate the frequency of their experiences of the 20 SDS items during the last two weeks as “None or a little of the time” (score = 1), “Some of the time” (2), “Good part of the time” (3), or “Most or all of the time” (4). The SDS produces total scores from 20 to 80 [ 45 , 47 ], with 40 or above indicative of “clinically significant depression” [ 47 ] (p. 335). The SDS has split-half reliability of .81, [ 45 ], .79 [ 48 ] and .94 [ 49 ], with an internal consistency (alpha) of .88 for depressed patients and .93 for non-depressed patients [ 50 ].…”

Section: Methodsmentioning

confidence: 99%

Frontal Alpha Asymmetry Argues for the Heterogeneity of Psychological Resilience

Sharpley,

Evans,

Bitsika

et al. 2023

Brain Sciences

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Depression is associated with frontal alpha asymmetry (FAA) and Psychological Resilience (PR), although in different ways. Only cursory attention has been given to how these three constructs interact despite the possible clinical and research implications of those associations. One limitation of recent research into these associations has been conceptualising PR as a unitary construct, whereas it has been shown to be multi-component. This study investigated the underlying components of PR, their correlations with FAA, and the effect that participants’ depressive status had upon those correlations in a community sample of 54 males and 46 females aged between 18 yr and 75 years. Results confirmed the overall inverse association between total PR and depression for four of the original five PR components and for one of the two components found in this sample. Similarly, there were differences between the ways that FAA and PR components were associated, depending upon the depressive status of participants. Source localisation data indicated that the PR components were not uniformly correlated with alpha activity in the same brain regions. These findings of content, efficacy, and neurophysiological differences between the five components of PR and their associations with FAA argue against consideration of PR as a unitary construct.

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Alpha frontal asymmetry underlies individual differences in reactivity to acute psychosocial stress in males

Cited by 8 publications

References 74 publications

Brain activity during cybersickness: a scoping review

Brain activity during cybersickness: a scoping review

Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response

Frontal Alpha Asymmetry Argues for the Heterogeneity of Psychological Resilience

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