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Functional Connectivity with Regions Related to Emotional Regulation is Altered in Emotional Laborers

  • Seokyeong Min (Deparatment of Psychology, Yonsei University) ;
  • Tae Hun Cho (Deparatment of Psychology, Yonsei University) ;
  • Soo Hyun Park (Deparatment of Psychology, Yonsei University) ;
  • Sanghoon Han (Deparatment of Psychology, Yonsei University )
  • Received : 2022.05.23
  • Accepted : 2022.08.18
  • Published : 2022.12.31

Abstract

Emotional labor, characterized by a dysfunctional type of emotional regulation called surface acting, has detrimental psychological consequences on employees, including depression and social anxiety. Because such disorders exhibit psychological characteristics manifested through brain activation, previous studies have succeeded in distinguishing individuals with depression and social anxiety from healthy controls using their functional connectivity characteristics. However, it has not been established whether the functional connectivity characteristics associated with emotional labor are distinguishable. Thus, we obtained resting-state fMRI data from participants in the emotion labor (EL) group and control (CTRL) group, and we subjected their whole-brain functional connectivity matrices to a linear support vector machine classifier. Our analysis revealed that the EL and CTRL groups could be successfully distinguished on the basis of individuals' connectivity patterns, and confidence in the classification was correlated with the scores on the depression and social anxiety scales. These results are expected to provide insight on the neurobiological characteristics of emotional labor and enable the sorting of employees undergoing adverse emotional labor utilizing neurobiological observations.

Keywords

Acknowledgement

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT No. 2019R1A2C1007399, MSET No. 2017-11-0374) and the Yonsei Signature Research Cluster Program of 2021 (2021-22-0005).

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