Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses
Adolescent drug misuse represents a major risk factor for long-term drug use disorders. However, wide individual differences in responses to first-line behavioral therapies targeting adolescent drug misuse limit critical early intervention. Identifying the neural signatures of those adolescents most...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019-01-01
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| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158219303183 |
| _version_ | 1811259648783679488 |
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| author | Amanda Elton Catherine Stanger G. Andrew James Stacy Ryan-Pettes Alan Budney Clinton D. Kilts |
| author_facet | Amanda Elton Catherine Stanger G. Andrew James Stacy Ryan-Pettes Alan Budney Clinton D. Kilts |
| author_sort | Amanda Elton |
| collection | DOAJ |
| description | Adolescent drug misuse represents a major risk factor for long-term drug use disorders. However, wide individual differences in responses to first-line behavioral therapies targeting adolescent drug misuse limit critical early intervention. Identifying the neural signatures of those adolescents most likely to respond to an intervention would potentially guide personalized strategies for reducing drug misuse. Prior to a 14-week evidence-based intervention involving combinations of contingency management, motivational enhancement, and cognitive behavioral therapy, thirty adolescent alcohol and/or cannabis users underwent fMRI while performing a reward delay discounting (DD) task tapping an addiction-related cognition. Intervention responses were longitudinally characterized by both urinalysis and self-report measures of the percentage of days used during treatment and in post-treatment follow-up. Group independent component analysis (ICA) of task fMRI data identified neural processing networks related to DD task performance. Separate measures of wholesale recruitment during immediate reward choices and within-network functional connectivity among selective networks significantly predicted intervention-related changes in drug misuse frequency. Specifically, heightened pre-intervention engagement of a temporal lobe “reward motivation” network for impulsive choices on the DD task predicted poorer intervention outcomes, while modes of functional connectivity within the reward motivation network, a prospection network, and a posterior insula network demonstrated robust associations with intervention outcomes. Finally, the pre-intervention functional organization of the prospection network also predicted post-intervention drug use behaviors for up to 6 months of follow-up. Multiple functional variations in the neural processing networks supporting preference for immediate and future rewards signal individual differences in readiness to benefit from an effective behavioral therapy for reducing adolescent drug misuse. The implications for efforts to boost therapy responses are discussed. Keywords: Adolescents, Substance use, Delay discounting, Functional magnetic resonance imaging, Treatment |
| first_indexed | 2024-04-12T18:35:56Z |
| format | Article |
| id | doaj.art-65cbf03815df4601b97387aa56e92d62 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-04-12T18:35:56Z |
| publishDate | 2019-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-65cbf03815df4601b97387aa56e92d622022-12-22T03:20:57ZengElsevierNeuroImage: Clinical2213-15822019-01-0124Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responsesAmanda Elton0Catherine Stanger1G. Andrew James2Stacy Ryan-Pettes3Alan Budney4Clinton D. Kilts5University of North Carolina at Chapel Hill, USA; Corresponding author at: Department of Psychology & Neuroscience, Davie Hall, CB #3270, University of North Carolina, Chapel Hill, NC 27599-3270, USA.Geisel School of Medicine at Dartmouth College, USAUniversity of Arkansas for Medical Sciences, USABaylor University, USAGeisel School of Medicine at Dartmouth College, USAUniversity of Arkansas for Medical Sciences, USAAdolescent drug misuse represents a major risk factor for long-term drug use disorders. However, wide individual differences in responses to first-line behavioral therapies targeting adolescent drug misuse limit critical early intervention. Identifying the neural signatures of those adolescents most likely to respond to an intervention would potentially guide personalized strategies for reducing drug misuse. Prior to a 14-week evidence-based intervention involving combinations of contingency management, motivational enhancement, and cognitive behavioral therapy, thirty adolescent alcohol and/or cannabis users underwent fMRI while performing a reward delay discounting (DD) task tapping an addiction-related cognition. Intervention responses were longitudinally characterized by both urinalysis and self-report measures of the percentage of days used during treatment and in post-treatment follow-up. Group independent component analysis (ICA) of task fMRI data identified neural processing networks related to DD task performance. Separate measures of wholesale recruitment during immediate reward choices and within-network functional connectivity among selective networks significantly predicted intervention-related changes in drug misuse frequency. Specifically, heightened pre-intervention engagement of a temporal lobe “reward motivation” network for impulsive choices on the DD task predicted poorer intervention outcomes, while modes of functional connectivity within the reward motivation network, a prospection network, and a posterior insula network demonstrated robust associations with intervention outcomes. Finally, the pre-intervention functional organization of the prospection network also predicted post-intervention drug use behaviors for up to 6 months of follow-up. Multiple functional variations in the neural processing networks supporting preference for immediate and future rewards signal individual differences in readiness to benefit from an effective behavioral therapy for reducing adolescent drug misuse. The implications for efforts to boost therapy responses are discussed. Keywords: Adolescents, Substance use, Delay discounting, Functional magnetic resonance imaging, Treatmenthttp://www.sciencedirect.com/science/article/pii/S2213158219303183 |
| spellingShingle | Amanda Elton Catherine Stanger G. Andrew James Stacy Ryan-Pettes Alan Budney Clinton D. Kilts Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses NeuroImage: Clinical |
| title | Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses |
| title_full | Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses |
| title_fullStr | Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses |
| title_full_unstemmed | Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses |
| title_short | Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses |
| title_sort | intertemporal decision making related brain states predict adolescent drug abuse intervention responses |
| url | http://www.sciencedirect.com/science/article/pii/S2213158219303183 |
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