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Abstract #0519

Disrupted Network Interactions in Chronic Cocaine Dependents as Revealed by Modular Network Analysis of Resting-State Functional MRI

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.