Resting-state functional connectivity predicts impulsivity in economic decision-making

Nan LI, Ning MA, Ying LIU, Xiao-Song HE, Delin SUN, Xian-Ming FU, Xiaochu ZHANG, Shihui HAN, Da-Ren ZHANG

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126 Citations (Scopus)


Increasing neuroimaging evidence suggests an association between impulsive decision-making behavior and task-related brain activity. However, the relationship between impulsivity in decision-making and resting-state brain activity remains unknown. To address this issue,weused functionalMRIto record brain activity fromhumanadults during a resting state and during a delay discounting task (DDT) that requires choosing between an immediate smaller reward and a larger delayed reward. In experiment I, we identified four DDTrelated brain networks. The money network (the striatum, posterior cingulate cortex, etc.) and the time network (the medial and dorsolateral prefrontal cortices, etc.) were associated with the valuation process; the frontoparietal network and the dorsal anterior cingulate cortex-anterior insular cortex network were related to the choice process. Moreover, we found that the resting-state functional connectivity of the brain regions in these networks was significantly correlated with participants' discounting rate, a behavioral index of impulsivity during the DDT. In experiment II, we tested an independent group of subjects and demonstrated that this resting-state functional connectivity was able to predict individuals' discounting rates. Together, these findings suggest that resting-state functional organization of the human brain may be a biomarker of impulsivity and can predict economic decision-making behavior. Copyright © 2013 the authors.

Original languageEnglish
Pages (from-to)4886-4895
JournalThe Journal of Neuroscience
Issue number11
Publication statusPublished - Mar 2013


Li, N., Ma, N., Liu, Y., He, X.-S., Sun, D.-L., Fu, X.-M., . . . Zhang, D.-R. (2013). Resting-state functional connectivity predicts impulsivity in economic decision-making. The Journal of Neuroscience, 33(11), 4886-4895. doi: 10.1523/JNEUROSCI.1342-12.2013


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