Poster No:
1151
Submission Type:
Abstract Submission
Authors:
Paola Mattey-Mora1, Leslie Hulvershorn1, Jaroslaw Harezlak2
Institutions:
1Indiana University School of Medicine, Indianapolis, IN, 2Indiana University Bloomington, Bloomington, IN
First Author:
Co-Author(s):
Introduction:
Significant developmental changes are experienced at a neural level during adolescence (Sturman & Moghaddam, 2011). Particularly, areas related to reward, impulsivity, and risk-taking processes, such as the prefrontal cortex, the ventral striatum, and the amygdala, undergo significant changes during this period (Tottenham & Galván, 2016). More importantly, these areas play an essential role in substance use initiation during adolescence (Kirsch & Lippard, 2022), and growing evidence has shown that males and females exhibit different neural mechanisms related to reward processing, stress response, and decision-making, which can contribute to variations in substance use patterns (Smith et al., 2023). Therefore, this study aimed to determine if the different neural mechanisms in females and males can contribute to predicting substance use initiation during adolescence.
Methods:
A total of 10,133 participants enrolled in the Adolescent Brain Cognitive Development (ABCD) Study were included in the analysis. Participants performed the Monetary Incentive Delay task at baseline during functional MRI acquisition. In the task, during the anticipation period, participants were informed of the upcoming trial type (win money and lose money) and waited to hit a target; during the feedback period, participants were informed of their success. Regions of interest (ROI) analyses (68 regions in the Desikan atlas and 30 regions in the ASEG atlas) evaluated the task conditions as predictors for substance use initiation in females and males. Substance use initiation (report of first-time use of alcohol, cannabis, or nicotine products) was assessed between the 6-month and 4-year follow-up. Neural networks stratified by sex were conducted to predict substance use initiation. Testing and training sets were specified with a ratio of 30:70 and the training models considered a 10-fold cross-validation and multiple hyperparameter testing. Finally, predictors importance and weighting and predicting accuracy were assessed.
Results:
We found differences in the main neural predictors for substance use initiation between females and males. Functional activation during great loss versus neutral contrast were in the right posterior cingulate, and left fusiform, as well as activation during the great reward vs neutral contrast in the right superior frontal, the right caudal middle frontal gyrus, and the right thalamus were the main predictors for substance use initiation in females. Prediction accuracy was estimated in 95% for the female model. Functional activation during great loss versus neutral contrast were in the right postcentral gyrus, left thalamus, and the left superior parietal lobule, as well as activation during the great reward vs neutral contrast in the right precuneus and left caudal anterior cingulate gyrus were the main predictors for substance use initiation in males. Prediction accuracy was estimated in 96% for the male model.
Conclusions:
Areas previously associated with decision-making and reward were found to be the main predictors in our models, which was expected. Nonetheless, differences in the neural mechanisms predicting substance use were found between females and males. Understanding and considering the differences in neural mechanisms between females and males can provide valuable insights into sex-specific predictors of substance use, which could ultimately lead to personalized and effective prevention and intervention strategies during adolescence.
Emotion, Motivation and Social Neuroscience:
Reward and Punishment
Higher Cognitive Functions:
Decision Making
Lifespan Development:
Early life, Adolescence, Aging 2
Modeling and Analysis Methods:
Classification and Predictive Modeling 1
fMRI Connectivity and Network Modeling
Keywords:
Addictions
Data analysis
fMRI CONTRAST MECHANISMS
Machine Learning
Psychiatric Disorders
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
Task-activation
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Healthy subjects
Was this research conducted in the United States?
Yes
Are you Internal Review Board (IRB) certified?
Please note: Failure to have IRB, if applicable will lead to automatic rejection of abstract.
Yes, I have IRB or AUCC approval
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
Functional MRI
For human MRI, what field strength scanner do you use?
2.0T
Which processing packages did you use for your study?
Free Surfer
Provide references using APA citation style.
Kirsch, D. E., & Lippard, E. T. C. (2022). Early life stress and substance use disorders: The critical role of adolescent substance use. Pharmacology Biochemistry and Behavior, 215, 173360. https://doi.org/https://doi.org/10.1016/j.pbb.2022.173360
Smith, K., Lacadie, C. M., Milivojevic, V., Fogelman, N., & Sinha, R. (2023). Sex differences in neural responses to stress and drug cues predicts future drug use in individuals with substance use disorder. Drug Alcohol Depend, 244, 109794. https://doi.org/10.1016/j.drugalcdep.2023.109794
Sturman, D. A., & Moghaddam, B. (2011). The neurobiology of adolescence: changes in brain architecture, functional dynamics, and behavioral tendencies. Neurosci Biobehav Rev, 35(8), 1704-1712. https://doi.org/10.1016/j.neubiorev.2011.04.003
Tottenham, N., & Galván, A. (2016). Stress and the adolescent brain: Amygdala-prefrontal cortex circuitry and ventral striatum as developmental targets. Neurosci Biobehav Rev, 70, 217-227. https://doi.org/10.1016/j.neubiorev.2016.07.030
No