Meeting Banner
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.

Keywords

abnormal abuse acknowledgment addiction addicts addition adverse alcohol alterations among anterior assess assessed background behaviors bilateral brain branch calculating characterized china chronic circuits cocaine coefficient cognitive compulsive connected connectedness connections connectivity consequences control controls corrected correlation correlations cortex courses decreased default deficits degree dependence dependents describing difficulty disorder disrupted disruptions distribution drive drug dynamics emotion emotional even examine examined exhibited expense explored feelings five formed function functional graph healthy hong identify impaired impairments implicated insights institute integrating inter interactions intra intramural investigated involved laboratory learning lobe located matched matrix measures mechanisms medial memory mode model modular module modules national network networks node novel pair participation particular physics preprocessing processes processing program projection putatively quantifies referential reflective related relationships rest resting revealed reward role salience scale score scores seed serious served significantly stat stein studies subject suggest supported system take temporal tend together trends triple uncovered unknown users various whereas whether wise