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Article

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

1
Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Korea
2
Department of Electronic Engineering, Wonkwang University, Iksan 54538, Korea
*
Author to whom correspondence should be addressed.
Biosensors 2022, 12(1), 33; https://doi.org/10.3390/bios12010033
Submission received: 16 November 2021 / Revised: 7 January 2022 / Accepted: 7 January 2022 / Published: 9 January 2022
(This article belongs to the Special Issue Electrical/Optical Biosensing and Regulating Technology)

Abstract

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.
Keywords: functional near-infrared spectroscopy; international affective picture system; laterality index; saliva alpha-amylase; stimulus-response tasks; stress measurement functional near-infrared spectroscopy; international affective picture system; laterality index; saliva alpha-amylase; stimulus-response tasks; stress measurement
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MDPI and ACS Style

Bak, S.; Shin, J.; Jeong, J. Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response. Biosensors 2022, 12, 33. https://doi.org/10.3390/bios12010033

AMA Style

Bak S, Shin J, Jeong J. Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response. Biosensors. 2022; 12(1):33. https://doi.org/10.3390/bios12010033

Chicago/Turabian Style

Bak, SuJin, Jaeyoung Shin, and Jichai Jeong. 2022. "Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response" Biosensors 12, no. 1: 33. https://doi.org/10.3390/bios12010033

APA Style

Bak, S., Shin, J., & Jeong, J. (2022). Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response. Biosensors, 12(1), 33. https://doi.org/10.3390/bios12010033

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