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Wu CL, Zhong S, Chan YC, et al. White-Matter Structural Connectivity Underlying Human Laughter-Related Traits Processing. Front Psychol. 2016;7:1637doi: 10.3389/fpsyg.2016.01637.
Wu, C. L., Zhong, S., Chan, Y. C., Chen, H. C., Gong, G., He, Y., & Li, P. (2016). White-Matter Structural Connectivity Underlying Human Laughter-Related Traits Processing. Frontiers in psychology, 71637. https://doi.org/10.3389/fpsyg.2016.01637
Wu, Ching-Lin, et al. "White-Matter Structural Connectivity Underlying Human Laughter-Related Traits Processing." Frontiers in psychology vol. 7 (2016): 1637. doi: https://doi.org/10.3389/fpsyg.2016.01637
Wu CL, Zhong S, Chan YC, Chen HC, Gong G, He Y, Li P. White-Matter Structural Connectivity Underlying Human Laughter-Related Traits Processing. Front Psychol. 2016 Oct 27;7:1637. doi: 10.3389/fpsyg.2016.01637. eCollection 2016. PMID: 27833572; PMCID: PMC5082228.
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Front Psychol. 2016 Oct 27;7:1637. doi: 10.3389/fpsyg.2016.01637. eCollection 2016.

White-Matter Structural Connectivity Underlying Human Laughter-Related Traits Processing.

Frontiers in psychology

Ching-Lin Wu, Suyu Zhong, Yu-Chen Chan, Hsueh-Chih Chen, Gaolang Gong, Yong He, Ping Li

Affiliations

  1. Department of Educational Psychology and Counseling, National Taiwan Normal University Taipei, Taiwan.
  2. State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China; School of Systems Science, Beijing Normal UniversityBeijing, China.
  3. Institute of Learning Sciences, National Tsing Hua University Hsinchu, Taiwan.
  4. State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China.
  5. Department of Psychology and Institute for CyberScience, Pennsylvania State University, University Park PA, USA.

PMID: 27833572 PMCID: PMC5082228 DOI: 10.3389/fpsyg.2016.01637

Abstract

Most research into the neural mechanisms of humor has not explicitly focused on the association between emotion and humor on the brain white matter networks mediating this connection. However, this connection is especially salient in gelotophobia (the fear of being laughed at), which is regarded as the presentation of humorlessness, and two related traits, gelotophilia (the enjoyment of being laughed at) and katagelasticism (the enjoyment of laughing at others). Here, we explored whether the topological properties of white matter networks can account for the individual differences in the laughter-related traits of 31 healthy adults. We observed a significant negative correlation between gelotophobia scores and the clustering coefficient, local efficiency and global efficiency, but a positive association between gelotophobia scores and path length in the brain's white matter network. Moreover, the current study revealed that with increasing individual fear of being laughed at, the linking efficiencies in superior frontal gyrus, anterior cingulate cortex, parahippocampal gyrus, and middle temporal gyrus decreased. However, there were no significant correlations between either gelotophilia or katagelasticism scores or the topological properties of the brain white matter network. These findings suggest that the fear of being laughed at is directly related to the level of local and global information processing of the brain network, which might provide new insights into the neural mechanisms of the humor information processing.

Keywords: brain network; connectome; diffusion tensor imaging; gelotophobia; graph theory

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