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Effective connectivity predicts cognitive empathy in cocaine addiction : a spectral dynamic causal modeling study

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Abstract
Social cognition plays a crucial role in the development and treatment of cocaine dependence. However, studies investigating social cognition, such as empathy and its underlying neural basis, are lacking. To explore the neural interactions among reward and memory circuits, we applied effective connectivity analysis on resting-state fMRI data collected from cocaine-dependent subjects. The relationship between effective connectivity within these two important circuits and empathy ability - evaluated with the Interpersonal Reactivity Index (IRI) - was assessed by machine learning algorithm using multivariate regression analysis. In accordance with the neurocircuitry disruptions of cocaine addiction, the results showed that cocaine-dependent subjects relative to healthy controls had altered resting state effective connectivity between parts of the memory and reward systems. Furthermore, effective connectivity between the memory and reward system could predict the fantasy empathy (FE) subscale scores in cocaine dependence. Overall, our findings provide further evidence for the neural substrates of social cognition in cocaine-dependent patients. These new insights could be useful for the development of new treatment programs for this substance dependency disorder.
Keywords
VENTRAL TEGMENTAL AREA, WHITE-MATTER, FUNCTIONAL CONNECTIVITY, HUMAN BRAIN, SOCIAL COGNITION, FEAR RECOGNITION, REWARD SYSTEM, DRUG-USE, AMYGDALA, REACTIVITY, social cognition, cocaine dependence, effective connectivity, fantasy empathy

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MLA
Wei, Luqing, et al. “Effective Connectivity Predicts Cognitive Empathy in Cocaine Addiction : A Spectral Dynamic Causal Modeling Study.” BRAIN IMAGING AND BEHAVIOR, 2020, doi:10.1007/s11682-020-00354-y.
APA
Wei, L., Wu, G.-R., Bi, M., & Baeken, C. (2020). Effective connectivity predicts cognitive empathy in cocaine addiction : a spectral dynamic causal modeling study. BRAIN IMAGING AND BEHAVIOR. https://doi.org/10.1007/s11682-020-00354-y
Chicago author-date
Wei, Luqing, Guo-Rong Wu, Minghua Bi, and Chris Baeken. 2020. “Effective Connectivity Predicts Cognitive Empathy in Cocaine Addiction : A Spectral Dynamic Causal Modeling Study.” BRAIN IMAGING AND BEHAVIOR. https://doi.org/10.1007/s11682-020-00354-y.
Chicago author-date (all authors)
Wei, Luqing, Guo-Rong Wu, Minghua Bi, and Chris Baeken. 2020. “Effective Connectivity Predicts Cognitive Empathy in Cocaine Addiction : A Spectral Dynamic Causal Modeling Study.” BRAIN IMAGING AND BEHAVIOR. doi:10.1007/s11682-020-00354-y.
Vancouver
1.
Wei L, Wu G-R, Bi M, Baeken C. Effective connectivity predicts cognitive empathy in cocaine addiction : a spectral dynamic causal modeling study. BRAIN IMAGING AND BEHAVIOR. 2020;
IEEE
[1]
L. Wei, G.-R. Wu, M. Bi, and C. Baeken, “Effective connectivity predicts cognitive empathy in cocaine addiction : a spectral dynamic causal modeling study,” BRAIN IMAGING AND BEHAVIOR, 2020.
@article{8680126,
  abstract     = {Social cognition plays a crucial role in the development and treatment of cocaine dependence. However, studies investigating social cognition, such as empathy and its underlying neural basis, are lacking. To explore the neural interactions among reward and memory circuits, we applied effective connectivity analysis on resting-state fMRI data collected from cocaine-dependent subjects. The relationship between effective connectivity within these two important circuits and empathy ability - evaluated with the Interpersonal Reactivity Index (IRI) - was assessed by machine learning algorithm using multivariate regression analysis. In accordance with the neurocircuitry disruptions of cocaine addiction, the results showed that cocaine-dependent subjects relative to healthy controls had altered resting state effective connectivity between parts of the memory and reward systems. Furthermore, effective connectivity between the memory and reward system could predict the fantasy empathy (FE) subscale scores in cocaine dependence. Overall, our findings provide further evidence for the neural substrates of social cognition in cocaine-dependent patients. These new insights could be useful for the development of new treatment programs for this substance dependency disorder.},
  author       = {Wei, Luqing and Wu, Guo-Rong and Bi, Minghua and Baeken, Chris},
  issn         = {1931-7557},
  journal      = {BRAIN IMAGING AND BEHAVIOR},
  keywords     = {VENTRAL TEGMENTAL AREA,WHITE-MATTER,FUNCTIONAL CONNECTIVITY,HUMAN BRAIN,SOCIAL COGNITION,FEAR RECOGNITION,REWARD SYSTEM,DRUG-USE,AMYGDALA,REACTIVITY,social cognition,cocaine dependence,effective connectivity,fantasy empathy},
  language     = {eng},
  pages        = {9},
  title        = {Effective connectivity predicts cognitive empathy in cocaine addiction : a spectral dynamic causal modeling study},
  url          = {http://dx.doi.org/10.1007/s11682-020-00354-y},
  year         = {2020},
}

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