Resting-state functional connectivity of social brain regions predicts motivated dishonesty

Pang，Luoyao1,2,3; Li，Huidi4; Liu，Quanying5; Luo，Yue Jia2,6,7; Mobbs，Dean8; Wu，Haiyan1

2022-08-01

10.1016/j.neuroimage.2022.119253

NEUROIMAGE   影响因子和分区

1053-8119

1095-9572

Motivated dishonesty is a typical social behavior varying from person to person. Resting-state fMRI (rsfMRI) is capable of identifying unique patterns from functional connectivity (FC) between brain regions. Recent work has built a link between brain networks in resting state to dishonesty in Western participants. To determine and reproduce the relevant neural patterns and build an interpretable model to predict dishonesty, we analyzed two conceptually similar datasets containing rsfMRI data with different dishonesty tasks. Both tasks implemented the information-passing paradigm, in which monetary rewards were employed to induce dishonesty. We applied connectome-based predictive modeling (CPM) to build a model among FC within and between four social brain networks (reward, self-referential, moral, and cognitive control). The CPM analysis indicated that FCs of social brain networks are predictive of dishonesty rate, especially FCs within reward network, and between self-referential and cognitive control networks. Our study offers an conceptual replication with integrated model to predict dishonesty with rsfMRI, and the results suggest that frequent motivated dishonest decisions may require the higher engagement of social brain regions.

Functional connectivity Resting-state fMRI Dishonesty Machine learning Predictive modeling reproducibility

SCI

英语

其他

National Natural Science Foundation of China[U1736125] ; University of Macau["CRG2020-00001ICI","SRG202000027-ICI"] ; Natural Science Foundation of Guangdong Province["2021A1515012509","2019A1515111038"] ; Science and Technology Development Fund (FDCT) of Macau[0127/2020/A3] ; Shenzhen-Hong Kong-Macao Science and Technology Innovation Project (Category C)[SGDX2020110309280100]

Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging

Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging

WOS:000830858700004

ACADEMIC PRESS INC ELSEVIER SCIENCE

NEUROSCIENCE & BEHAVIOR

2-s2.0-85129407321

Web of Science

1.Centre for Cognitive and Brain Sciences and Department of Psychology,University of Macau,Taipa,Macao
2.Center for Brain Disorders and Cognitive Sciences,Shenzhen University,China
3.College of Psychology and Sociology,Shenzhen University,China
4.Department of psychology,McGill University,Canada
5.Shenzhen Key Laboratory of Smart Healthcare Engineering,Southern University of Science and Technology,China
6.The Research Center of Brain Science and Visual Cognition,Kunming University of Science and Technology,China
7.College of Teacher Education,Qilu Normal University,China
8.Division of the Humanities and Social Sciences,California Institute of Technology,United States

Pang，Luoyao,Li，Huidi,Liu，Quanying,et al. Resting-state functional connectivity of social brain regions predicts motivated dishonesty[J]. NEUROIMAGE,2022,256.

Pang，Luoyao,Li，Huidi,Liu，Quanying,Luo，Yue Jia,Mobbs，Dean,&Wu，Haiyan.(2022).Resting-state functional connectivity of social brain regions predicts motivated dishonesty.NEUROIMAGE,256.

Pang，Luoyao,et al."Resting-state functional connectivity of social brain regions predicts motivated dishonesty".NEUROIMAGE 256(2022).