Xia Liang1,
2, Hong Gu1, Betty Jo Salmeron1, Yuzheng Hu1,
Yong He2, Elliot Stein1, Yihong Yang1
1Neuroimaging
Research Branch, National Institute on Drug Abuse, Baltimore, MD, United
States; 2State Key Laboratory of Cognitive Neuroscience and
Learning, Beijing Normal University, Beijing, China
To examine the alterations in network-level interactions following chronic use of cocaine, we combined modular network analysis based on graph theory and resting-state fMRI technique. We observed significantly decreased inter-module connectivity among the default mode, salience and emotional networks in cocaine dependents. Moreover, we found that the intra-module connectivity within the salience module showed significantly negative correlation with difficulty of describing feelings in cocaine dependents. Our results demonstrate that cocaine addiction is associated with disruptions of network-level interactions, which may provide novel insights into the neurobiological mechanisms of cocaine addiction.