Functional Connectivity Alterations in Cocaine Use Disorder: Insights from the Triple Network Model and the Addictions Neuroclinical Assessment Framework
Ziyang Xu, Lie Li, Ruobing Liu, Mohamed Azzam, Shibiao Wan, Jieqiong Wang
The paper uses machine learning to analyze functional connectivity in brain networks to distinguish cocaine use disorder from healthy controls, finding that SN and CEN are more critical than DMN in addiction.
bioRxiv · Nov 12, 2024 · PreprintNeuroscience