Wu Ching-Lin, Zhong Suyu, Chan Yu-Chen, Chen Hsueh-Chih, He Yong
Program of Learning Sciences, National Taiwan Normal University, Taipei, Taiwan.
Institute for Research Excellence in Learning Sciences, National Taiwan Normal University, Taipei, Taiwan.
Front Psychol. 2018 Sep 4;9:1654. doi: 10.3389/fpsyg.2018.01654. eCollection 2018.
To investigate the potential relationship between white matter (WM) microstructure and humor styles, diffusion tensor images of brain WM and humor style tendencies were obtained from thirty healthy adults. Using connectivity efficiency measures from graph theoretical analysis and controlling for the influence of gender, age, educational level, and the big five personality traits, we preliminarily examined the prediction of humor styles from brain network efficiency. The results showed that the local efficiency within particular brain networks positively predicted a self-enhancing humor style and negatively predicted an aggressive humor style. The node efficiency of the left superior temporal gyrus distinguished the benevolent or hostile way that individuals coped with interpersonal embarrassment. These findings from this exploratory study support the hypothesis that WM structure influences humor styles, and provide the initial evidence and implications regarding the relationship between biological mechanisms and mental health for future research.
为了研究白质（WM）微观结构与幽默风格之间的潜在关系，我们从30名健康成年人中获取了脑白质的扩散张量图像和幽默风格倾向。使用来自图论分析的连通性效率测量方法，并控制性别、年龄、教育水平和大五人格特质的影响，我们初步检验了脑网络效率对幽默风格的预测作用。结果表明，特定脑网络内的局部效率对白我提升幽默风格有正向预测作用，对攻击性幽默风格有负向预测作用。左侧颞上回的节点效率区分了个体应对人际尴尬的仁慈或敌对方式。这项探索性研究的这些发现支持了白质结构影响幽默风格的假设，并为未来研究提供了关于生物机制与心理健康之间关系的初步证据和启示。
