Dataset Information

Baseline brain and behavioral factors distinguish adolescent substance initiators and non-initiators at follow-up.

ABSTRACT:

Background

Earlier substance use (SU) initiation is associated with greater risk for the development of SU disorders (SUDs), while delays in SU initiation are associated with a diminished risk for SUDs. Thus, identifying brain and behavioral factors that are markers of enhanced risk for earlier SU has major public health import. Heightened reward-sensitivity and risk-taking are two factors that confer risk for earlier SU.

Materials and methods

We characterized neural and behavioral factors associated with reward-sensitivity and risk-taking in substance-naïve adolescents (N = 70; 11.1-14.0 years), examining whether these factors differed as a function of subsequent SU initiation at 18- and 36-months follow-up. Adolescents completed a reward-related decision-making task while undergoing functional MRI. Measures of reward sensitivity (Behavioral Inhibition System-Behavioral Approach System; BIS-BAS), impulsive decision-making (delay discounting task), and SUD risk [Drug Use Screening Inventory, Revised (DUSI-R)] were collected. These metrics were compared for youth who did [Substance Initiators (SI); n = 27] and did not [Substance Non-initiators (SN); n = 43] initiate SU at follow-up.

Results

While SI and SN youth showed similar task-based risk-taking behavior, SI youth showed more variable patterns of activation in left insular cortex during high-risk selections, and left anterior cingulate cortex in response to rewarded outcomes. Groups displayed similar discounting behavior. SI participants scored higher on the DUSI-R and the BAS sub-scale.

Conclusion

Activation patterns in the insula and anterior cingulate cortex may serve as a biomarker for earlier SU initiation. Importantly, these brain regions are implicated in the development and experience of SUDs, suggesting differences in these regions prior to substance exposure.

SUBMITTER: McQuaid GA

PROVIDER: S-EPMC9780121 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Baseline brain and behavioral factors distinguish adolescent substance initiators and non-initiators at follow-up.

McQuaid Goldie A GA Darcey Valerie L VL Patterson Amanda E AE Rose Emma Jane EJ VanMeter Ashley S AS Fishbein Diana H DH

Frontiers in psychiatry 20221208

<h4>Background</h4>Earlier substance use (SU) initiation is associated with greater risk for the development of SU disorders (SUDs), while delays in SU initiation are associated with a diminished risk for SUDs. Thus, identifying brain and behavioral factors that are markers of enhanced risk for earlier SU has major public health import. Heightened reward-sensitivity and risk-taking are two factors that confer risk for earlier SU.<h4>Materials and methods</h4>We characterized neural and behaviora ...[more]

PMID: 36569626

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Project description:BACKGROUND:While treatment satisfaction has been associated with better outcomes in substance abuse treatment, there is an obvious need for a more profound understanding of what predicts client's satisfaction with treatment. This study elucidates factors relevant to treatment outcome measured at follow-up in terms of satisfaction with the treatment received. METHODS:The research was implemented as a multisite study in outpatient clinics (N?=?7) in southern and western Finland. Data consists of therapists (N?=?33) and their clients (N?=?327). Each consenting client beginning a treatment period was accepted as a research subject and all therapists at the clinics in question participated. The study was conducted as part of the clinic's normal activity. Clients were allocated to therapists according to a randomization list drawn up in advance. Apart from the randomisation and the completion of questionnaires, it did not interfere with the progress of treatment. Follow-up lasted 6 months. Multiple Classification Analysis (MCA) was used through combinations of variables organized by content, e.g. client demographics, previous substance use, therapist's characteristics and client's expectations. The analyses were based in part on conventional statistical testing (t -test, ?2-test, ANOVA). RESULTS:Among 37 independent variables few were statistically significant in the final model. The results suggest that high treatment expectations at baseline are a strong predictor of satisfaction at follow-up. Also, previous substance use predicted treatment satisfaction; people using multiple substances were less satisfied than those taking only one substance. Stronger predictors reduced the statistical significance of those independent variables that were statistically significant in the first analyses. Therefore, therapist's role in recovery and readiness to change should be also seen as antecedents to treatment satisfaction. CONCLUSIONS:It seems that treatment expectations are fulfilled among those participating in follow-up. Yet many are lost during treatment and by follow-up. Service users have experiential knowledge that differs from professionals' and policymakers' knowledge. It is clinically relevant to understand what factors affect client's satisfaction. Hence, it is possible to identify the population whose treatment should receive the most attention, how the client's experience, their commitment to treatment, and treatment effectiveness could be improved.

Dataset Information

Baseline brain and behavioral factors distinguish adolescent substance initiators and non-initiators at follow-up.

Background

Materials and methods

Results

Conclusion

Publications

Baseline brain and behavioral factors distinguish adolescent substance initiators and non-initiators at follow-up.

Similar Datasets

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