Abstract
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.
| Original language | English |
|---|---|
| Article number | 1654 |
| Journal | Frontiers in Psychology |
| Volume | 9 |
| Issue number | SEP |
| DOIs | |
| Publication status | Published - 2018 Sep 4 |
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Keywords
- Diffusion tensor imaging
- Graph theory
- Human connectome
- Humor styles
- White matter
ASJC Scopus subject areas
- Psychology(all)
Cite this
White-matter structural connectivity in relation to humor styles : An exploratory study. / Wu, Ching Lin; Zhong, Suyu; Chan, Yu Chen; Chen, Hsueh Chih; He, Yong.
In: Frontiers in Psychology, Vol. 9, No. SEP, 1654, 04.09.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - White-matter structural connectivity in relation to humor styles
T2 - An exploratory study
AU - Wu, Ching Lin
AU - Zhong, Suyu
AU - Chan, Yu Chen
AU - Chen, Hsueh Chih
AU - He, Yong
PY - 2018/9/4
Y1 - 2018/9/4
N2 - 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.
AB - 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.
KW - Diffusion tensor imaging
KW - Graph theory
KW - Human connectome
KW - Humor styles
KW - White matter
UR - http://www.scopus.com/inward/record.url?scp=85053023890&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053023890&partnerID=8YFLogxK
U2 - 10.3389/fpsyg.2018.01654
DO - 10.3389/fpsyg.2018.01654
M3 - Article
AN - SCOPUS:85053023890
VL - 9
JO - Frontiers in Psychology
JF - Frontiers in Psychology
SN - 1664-1078
IS - SEP
M1 - 1654
ER -