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Khanitin Jornkokgoud

Lecturer in Psychology at the Department of Educational Psychology and Guidance, Faculty of Education, Mahasarakham University, Thailand.

Personality, Emotions, and Well-being

personality emotions affective neuroscience traits well-being

Research questions

My research question explores the intersection of personality psychology, affective neuroscience, and well-being by examining how emotions and their underlying neural mechanisms shape, and are shaped by, stable personality traits. Personality traits influence emotional reactivity and regulation, while recurrent emotional states and regulation strategies, in turn, reinforce these traits and impact subjective well-being over time. From an affective neuroscience perspective, emotion- and well-being-related brain circuits—including the amygdala, striatum, insula, anterior cingulate, and prefrontal cortex—provide mechanistic insights into why individuals differ in personality expression and well-being outcomes.

Methodology

By investigating these links with tools like EEG/ERP, MRI/fMRI, or network analysis, my work bridges descriptive trait models with neural and well-being mechanisms, offering a deeper understanding of how personality is embedded in emotional processes and how both together influence well-being.

See personality:

  • Jornkokgoud, K., Bakiaj, R., Wongupparaj, P., Job, R., Grecucci, A. (2025). Narcissistic and Antisocial Personality Traits are both encoded in the Triple Network: Connectomics evidence. Psychophysiology, 62(8), e70130. https://doi.org/10.1111/psyp.70130

  • Jornkokgoud, K., Baggio, T., Bakiaj, R., Wongupparaj, P., Job, R., Grecucci, A. (2024). Narcissus reflected: gray and white matter features joint contribution to the default mode network in predicting narcissistic personality traits. European Journal of Neuroscience. https://doi.org/10.1111/ejn.16345

  • Jornkokgoud, K., Baggio, T., MD, F., Bakiaj, R., Wongupparaj, P., Job, R., Grecucci, A. (2023). Decoding Narcissistic Personality Traits from Brain and Psychological Features: A Supervised Machine Learning Approach. Social Neuroscience, 18(5), 257-270. https://doi.org/10.1080/17470919.2023.2242094

See well-being:

  • Yurayat, P., Choomphunuch, B., Suk-erb, W., Lebkhao, D., Jornkokgoud, K. (2025). The PERMA Well-being Scale Assessment in Undergraduate Students: Confirmatory Factor Analysis and Network Analysis. International Journal of Evaluation and Research in Education, 14(5), 3824-3837. http://doi.org/10.11591/ijere.v14i5.32369

  • Yurayat, P., Ghomroudi, P. A., Jornkokgoud, K. (Under review). Gender Differences in PERMA Well-being Among University Students: A Network Analysis. International Journal of Adolescence and Youth.

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