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Published on: March 23, 2022
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Attenuated insular processing during risk predicts relapse in early abstinent methamphetamine-dependent individuals
Joshua L Gowin1, Katia M Harlé1, Jennifer L Stewart1
1Psychiatry, UCSD, La Jolla, CA, USA.
Summary
Neuroimaging reveals that altered insula activation during risk-taking predicts relapse in methamphetamine-dependent (MD) individuals. Failure to differentiate brain responses to risk increases susceptibility to relapse.
Area of Science:
- Neuroimaging
- Neuroscience
- Addiction Research
Background:
- Neuroimaging shows potential for predicting relapse in abstinent methamphetamine-dependent (MD) individuals.
- Cognitive and neural processes underlying relapse susceptibility in MD are not fully understood.
Purpose of the Study:
- To investigate if insula activation during risk-taking decisions predicts relapse in abstinent MD individuals.
- To determine the role of altered risk-processing in methamphetamine dependence relapse.
Main Methods:
- Sixty-eight abstinent MD individuals completed a risk-taking task during functional magnetic resonance imaging (fMRI).
- Insula activation patterns during safe versus risky decisions were analyzed.
- Participants were followed up for 1 year to assess relapse rates.
Main Results:
- Abstinent MD individuals showed distinct insula activation patterns (lower for safe, higher for risky decisions), unlike relapsed individuals who showed similar activation for both.
- A one standard deviation increase in the difference between risky and safe choice insula activation correlated with a 0.34 odds ratio for relapse.
- Individuals with lower insula activation differences were twice as likely to relapse.
Conclusions:
- Differential insula activation during risk assessment is impaired in individuals who relapse from methamphetamine dependence.
- Altered risk-processing networks, including the insula, are associated with increased relapse susceptibility.
- These findings highlight the insula's role in predicting relapse and inform potential therapeutic targets.
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