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Behavioral and Accumbal Responses During an Affective Go/No-Go Task Predict Adherence to Injectable Naltrexone
Zhenhao Shi1, Kanchana Jagannathan1, An-Li Wang1,2
1Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Predicting adherence to extended-release naltrexone for opioid use disorder is possible. Fewer errors and specific brain responses during a Go/No-go task predict successful relapse prevention treatment.
Area of Science:
- Neuroscience
- Psychiatry
- Addiction Medicine
Background:
- Adherence to extended-release naltrexone is critical for relapse prevention in opioid use disorder (OUD).
- Predictive biomarkers for treatment adherence are needed to optimize OUD management.
Purpose of the Study:
- To evaluate the predictive value of a Go/No-go task variant for extended-release naltrexone adherence in OUD patients.
- To investigate the relationship between behavioral performance (errors) and neural responses during the task and subsequent treatment adherence.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to assess brain activity during a Go/No-go task in 27 detoxified OUD patients.
- Participants performed the task before initiating up to 3 monthly injections of extended-release naltrexone.
- Adherence was defined as completing all 3 injections; errors of commission and neural responses were independent variables.
Main Results:
- Reduced errors of commission during the Go/No-go task were associated with higher adherence.
- Increased left accumbens activity during No-go versus Go trials predicted better adherence.
- Behavioral and neurophysiological measures from the task showed potential in predicting treatment completion.
Conclusions:
- The Go/No-go task, assessing response inhibition, can predict adherence to extended-release naltrexone in OUD treatment.
- Behavioral and neurophysiological markers of response inhibition may serve as valuable clinical tools for predicting treatment outcomes in OUD.
- This study highlights the potential of neurocognitive assessments in personalized addiction medicine.
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