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• Clinical Article •
Research on dynamic functional network of risky decision making
JIANG Wei-xiong  TAN Jing-de  HU Chun-guang  HUANG Ren-zhi  LI Yong-fan  JIANG Hua  WANG Wei 

DOI:10.12015/issn.1674-8034.2018.09.006.


[Abstract] Objective: This study aims to investigate dynamic network characteristic of risky decision making among adolescents.Materials and Methods: We first obtained rest-state functional magnetic resonance imaging (fMRI) data of 49 subjects; then dynamic functional connectivity networks were constructed using dynamic window for each subject and the fluctuation amplitudes of dynamic functional connectivity were calculated, finally these amplitude values were used as the features of multivariate pattern analysis to predict the risky decision behavior so as to obtain dynamic network characteristic of risky decision making.Results: Spontaneous fluctuation of dynamic functional connectivity could predict the risky decision behavior with good performance (r=0.3612, P=0.0108). Seventeen informational functional connectivities were found with powerful predictive function for risky decision making and they were mainly located among networks. Default network played the most important role for the risky decision behavior among all network modules, then two control network including the cingulo-opercular and frontoparietal network also played important roles.Conclusions: We used dynamic functional connectivity to predict risky decision behavior. What's more, we investigated the dynamic network characteristic of risky decision making.
[Keywords] Risky decision making；Dynamic functional connectivity；Brain network；Multivariate pattern analysis；Magnetic resonance imaging

JIANG Wei-xiong School of Information Science and Engineering, Hunan First Normal University, Changsha 410205, China

TAN Jing-de School of Information Science and Engineering, Hunan First Normal University, Changsha 410205, China

HU Chun-guang School of Educational Science, Hunan First Normal University, Changsha 410205, China

HUANG Ren-zhi School of Information Science and Engineering, Hunan First Normal University, Changsha 410205, China

LI Yong-fan School of Information Science and Engineering, Hunan First Normal University, Changsha 410205, China

JIANG Hua School of Information Science and Engineering, Hunan First Normal University, Changsha 410205, China

WANG Wei Department of Radiology, Third Xiangya Hospital, Central South University, Changsha 410013, China

*Correspondence to: Wang W, E-mail: cjr.wangwei@vip.163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Philosophy and Social Science Foundation in Hunan Province No. 17YBA109
Received  2018-05-20
Accepted  2018-07-22
DOI: 10.12015/issn.1674-8034.2018.09.006
DOI:10.12015/issn.1674-8034.2018.09.006.

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