PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 6, 2026NeuroImage0 citationsOpen Access

Neurophysiological Signatures of Rumination’s Impact on Opioid Withdrawal Severity

View Full Paper
YMYujia MengYWYifan WangSQSenqing Qi

Key Points

  • The research investigates how rumination affects the severity of opioid withdrawal symptoms (OWS) through neurophysiological mechanisms.
  • Analyzed the relationship between rumination and OWS severity in heroin abstainers.
  • Measured cortisol awakening response (CAR) and conducted EEG functional connectivity analysis.
  • Applied machine learning models to classify OWS severity based on neurophysiological data.
  • Performed chain mediation analyses to understand predictors of OWS severity.
  • Higher rumination correlated with increased OWS severity and elevated cortisol awakening response (CAR).
  • EEG analysis showed enhanced alpha-band synchronization in the default mode network among high rumination participants.
  • Support Vector Machine models classified OWS severity more effectively than other machine learning approaches.

Abstract

• Effectively managing opioid withdrawal symptoms (OWS) is crucial for overcoming drug addiction. • Rumination exacerbates the severity of OWS. • Stronger cortisol awakening response and functional connectivity mediated the above relation. • This study supports developing targeted interventions to alleviate distress during abstinence. Opioid withdrawal symptoms (OWS) represent a major clinical challenge during abstinence, imposing physiological distress and increasing psychological vulnerability to relapse. Psychological factors contributing to individual differences in OWS severity remain understood, and reliable biomarkers for OWS severity are still lacking, highlighting the need for early identification and timely intervention among high-risk heroin abstainers. Rumination is defined as uncontrollable negative thinking, potentially impairing the ability to suppress addiction-related negative thoughts. This study aims to investigate the neuroendocrine and neurophysiological mechanisms underlying the impact of rumination on OWS severity and use machine learning approaches to uncover neurophysiological signatures. Results revealed that, compared to heroin abstainers with lower rumination, those with higher rumination exhibited significantly higher scores on opiate withdrawal scale and stronger cortisol awakening response (CAR). EEG functional connectivity analysis revealed significantly enhanced alpha-band synchronization within default mode network (DMN)-related brain regions in the heroin abstainers with higher rumination, positively correlating with CAR and OWS severity. The Support Vector Machine model based on multimodal data effectively classified OWS severity, outperforming both the Random Forest and Logistic Regression models. To further analyze the interactions among key predictors, chain mediation analyses showed that rumination influences OWS severity through enhanced CAR and functional connectivity indirectly. These findings suggest that the rumination-driven negative thoughts exacerbate OWS severity through abnormal physiological and neural activities. By advancing the neurobiological understanding of OWS severity, we potentially offer a useful clinical diagnostic tool and provide empirical support for developing targeted dual-pathway clinical strategies during abstinence.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Meng et al. (2026) studied this question.

synapsesocial.com/papers/69aa70e7531e4c4a9ff5b220https://doi.org/10.1016/j.neuroimage.2026.121842
Ask AI
Helpful
Bookmark
Share
View Full Paper