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Resting State Functional Connectivity of the Default Mode Network During Opioid Use and Cessation in Treatment‐Seeking Persons

Jade Dandurand, Michael D. Stein, B. Surprenant, Somin Kim, H. Sarles-Whittlesey, K. Grimone, Debra S. Herman, Ana M. Abrantes, L. Sweet

European Journal of Neuroscience 2025 DOI: 10.1111/ejn.16656 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study (longitudinal resting-state fMRI) Peer reviewed
Sample size 11
Population Treatment-seeking adults meeting DSM-5 criteria for opioid use disorder who initiated buprenorphine treatment
Intervention Buprenorphine
Duration Two fMRI scans approximately 3 days apart
Topics Default mode network
Key findings Resting-state functional connectivity in the default mode network and the right inferior frontal gyrus of the salience network was greater when participants were abstaining from opioids than when actively using them. These connectivity changes predicted 76.2% of the variance in withdrawal symptom severity, with default mode network nodes accounting for an additional 30.9%. The authors propose that default mode network connectivity may have utility as a prognostic marker of cessation or relapse.

Abstract

Resting‐state functional connectivity analyses have been used to examine synchrony in neural networks in substance use disorders (SUDs), with the default mode network (DMN) one of the most studied. Prior research has generally found less DMN synchrony during use and greater synchrony during cessation, although little research has utilized this method with opioid use. This study examined resting brain activity in treatment‐seeking persons who use opioids at two points—when using opioids and when opioid‐free—to determine whether the DMN exhibits different levels of connectivity during opioid use and cessation and whether differences in connectivity predict subsequent relapse. The sample included 11 participants who met DSM‐5 criteria for opioid use disorder and initiated buprenorphine treatment following fMRI scans that were approximately 3 days apart. Results showed greater functional connectivity in the DMN and the rIFG of the salience network (SN) when participants were abstaining than when actively using opioids. These changes in connectivity predicted 76.2% of the variance in withdrawal symptom severity, with the DMN nodes accounting for an additional 30.9%. Findings warrant further longitudinal exploration of the role of DMN connectivity and its interactions with other networks in relation to abstinence and withdrawal status and examination of its utility as a prognostic marker of cessation or relapse.

Comparable studies

Other experimental studies on default mode network, most cited first.

Study Year Design Participants
Functional connectivity of default mode network components: Correlation, anticorrelation, and causality Healthy subjects 2008 Observational study using resting-state fMRI and seed correlation analysis
Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network Healthy subjects 2009 Experimental study using fMRI
Dynamic reconfiguration of the default mode network during narrative comprehension Human subjects 2016 Experimental study
Broadband Cortical Desynchronization Underlies the Human Psychedelic State Healthy human participants 2013 Experimental study
The brain on art: intense aesthetic experience activates the default mode network Human observers 2012 Observational study with fMRI and behavioral analysis

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