ORIGINAL RESEARCH article
Front. Neurosci.
Sec. Brain Imaging Methods
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1572463
Altered integrated and segregated states in cocaine use disorder
Provisionally accepted
- 1 Beihang University, Beijing, China
- 2 Beijing Academy of Blockchain and Edge Computing, Beijing, China
You have multiple emails registered with Frontiers:
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Cocaine use disorder (CUD) is a chronic brain disease severely impairing cognitive function and behavioral control. The neural mechanisms underlying CUD, particularly its impact on brain integration and segregation dynamics, remain unclear. Here, we integrate dynamic functional connectivity and graph theory to compare brain states properties between healthy controls and CUD patients. We found that CUD affects both integrated and segregated states, with distinct alterations in connectivity patterns and network properties. CUD disrupts connectivity involving the default mode network, frontoparietal network, and subcortical structures. Besides, integrated states show distinct sensorimotor connectivity changes, while segregated states exhibit pronounced frontoparietal-subcortical connectivity alterations. Regional connectivity changes across both states are significantly associated with MOR and H3 receptor distributions, with integrated states showing more receptor-connectivity couplings. Furthermore, CUD alters the positive-negative correlation balance, increases functional complexity at threshold 0, and reduces mean betweenness centrality and modularity in the critical subnetworks. Segregated states in CUD exhibit lower normalized clustering coefficients and functional complexity at threshold 0.3. We also identified network properties in integrated states reliably correlated with cocaine consumption patterns. Our findings revealed temporal effects of CUD on brain integration and segregation, providing novel insights into the dynamic neural mechanisms underlying cocaine addiction.
Keywords: Cocaine use disorder, resting-state functional MRI, Integration-Segregation, Dynamic Functional Connectivity, graph theory
Received: 07 Feb 2025; Accepted: 19 Mar 2025.
Copyright: © 2025 Zheng, Yang, Zhen, Wang, Liu, Zheng and Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hongwei Zheng, Beijing Academy of Blockchain and Edge Computing, Beijing, China
Shaoting Tang, Beihang University, Beijing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
