grant

The Role of Prenatal Cannabis Exposure in Reward-related Neural Circuitry and Psychotic-like Experiences in Youth

Organization UNIVERSITY OF CALIFORNIA LOS ANGELESLocation LOS ANGELES, UNITED STATESPosted 1 Sept 2023Deadline 31 Aug 2026
NIHUS FederalResearch GrantFY20250-11 years old12-20 years old9-ene-TetrahydrocannabinolActive Follow-upAdolescenceAdolescentAdolescent YouthAdverse effectsAffectAge of OnsetAnimalsBehavioralBiologic FactorBiological FactorsBiological MarkersBrainBrain Nervous SystemBrain regionCaliforniaCannabisChildChild DevelopmentChild YouthChildhoodChildren (0-21)ClinicalCollaborationsCorpus StriatumCorpus striatum structureD9-tetrahydrocannabinolDataDelta-9-TetrahydrocannabinolDevelopmentDoseEarly InterventionEncephalonEnvironmentEnvironmental FactorEnvironmental Risk FactorExposure toFoundationsFunctional MRIFunctional Magnetic Resonance ImagingFunctional impairmentFutureGestationHistoryIQ DeficitImpairmentIndividualInfant and Child DevelopmentKnowledgeLegislationLinkLiteratureLong-term prospective studiesLos AngelesMachine LearningMental HealthMental HygieneModelingNeurobiologyNeurocognitive DeficitNeurosciencesOutcomeParentsParticipantPathway interactionsPatientsPatternPlantsPolicy MakerPregnancyPregnant WomenPrepuberal statePsychological HealthPsychopathologyPsychosesPsychotic DisordersPublic HealthRecording of previous eventsRecreationReportingResearchRewardsRiskRisk FactorsRoleSamplingSeveritiesShapesSiteStatutes and LawsStriate BodyStriatumSubstance Use DisorderSymptomsTHC co-useTHC useTechniquesTetrahydrocannabinolTetrahydrocannabinol co-useTetrahydrocannabinol useTimeTrainingUnited StatesUniversitiesWorkYouthYouth 10-21abnormal psychologyactive followupadolescence (12-20)adolescent mental healthbio-markersbiologic markerbiomarkercannabis in uterocannabis usecannabis use disordercannabis use during pregnancycannabis use in pregnancycognitive developmentcohortcomputer based predictiondelta(1)-THCdelta(1)-Tetrahydrocannabinoldelta(9)-THCdelta(9)-Tetrahydrocannabinoldesigndesigningdevelopmentalenvironmental riskexpectant motherexpectant womenexpecting motherexpecting womenfMRIfetal cannabis exposurefetal marijuana exposurefinancial incentivefinancial rewardfollow upfollow-upfollowed upfollowupgestational marijuana exposurehigh riskhistoriesimprovedindexingindividuals who are pregnantinsightintelligence quotient deficitjuvenilejuvenile humankidslife spanlifespanlongitudinal, prospective studymachine based learningmachine learning based classifiermachine learning classifiermarijuana usemarijuana use and disordermarijuana use disordermarijuana use during pregnancymarijuana use in pregnancymonetary incentiveneuralneural circuitneural circuitryneural imagingneuro-imagingneurobiologicalneurocircuitryneurocognitive declineneurocognitive impairmentneuroimagingneurological imagingoffspringparentpathwaypediatricpeople who are pregnantpermissivenesspre-adolescentpreadolescencepredictive modelingpregnant femalespregnant motherspregnant peoplepregnant populationsprenatalprenatal cannabis exposureprenatal cannabis useprenatal marijuana exposureprenatal marijuana useprenatally exposed to cannabisprenatally exposed to marijuanaprenatally marijuana exposedprepubertalprepubertypreteenprogramspsychosis riskpsychosocialpsychoticpsychotic illnesspsychotic symptomspsychotic-like experiencesreward anticipationreward circuitryreward processingsocial rolestriatalsubstance usesubstance use and disordersubstance usingsynaptic circuitsynaptic circuitrythose who are pregnantunbornwomen who are pregnantyoungsteryouth ageΔ(1)-THCΔ(1)-tetrahydrocannabinolΔ(9)-THCΔ(9)-tetrahydrocannabinolΔ-9-tetrahydrocannabinolΔ9-tetrahydrocannabinol
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Full Description

PROJECT SUMMARY
Cannabis use is becoming increasingly common in the US, and past-month use among pregnant women

increased by almost 60% from 2003 to 2019. Despite increasingly permissive legislation, our knowledge of the

behavioral and neurobiological consequences of prenatal exposure to cannabis and delta-9-

tetrahydrocannabinol (THC) lags behind. Hazardous cannabis use has been linked to psychosis onset and

psychotic-like experiences throughout the lifespan, and both cannabis use and psychosis have overlapping

neural foundations in reward circuitry. However, the effects of prenatal cannabis exposure on youth

psychopathology are not yet known. Reward pathways implicated in cannabis use disorder and psychosis offer

key insights into how prenatal cannabis exposure may shape psychosis outcomes; functional brain alterations

during reward anticipation may represent a biomarker of disrupted reward processing. To enable the

development of early interventions and the discovery of robust biomarkers of psychosis risk, it is imperative to

determine relationships between neural and behavioral indices associated with hazardous cannabis use and

psychosis across development and inform predictive models. A unique opportunity to advance this work is

provided by the Adolescent Brain Cognitive Development (ABCD) Study, a 10-year national collaboration of 21

research sites designed to study the effects of substance use across development. The cohort includes 655

youth ages 9-13 who were exposed to cannabis prenatally and 10,834 who were not. Specially, the project aims

are to: 1) characterize longitudinal associations between prenatal cannabis exposure and psychotic-like

experiences (PLEs) across two years of follow-up; and 2a) Predict PLEs via machine learning classifiers built on

baseline psychosocial and environmental psychosis risk factors, including prenatal cannabis exposure, and 2b)

Predict PLEs via machine learning classifiers built on multivariate pattern analysis of neural activity in reward-

related brain regions during reward anticipation in a monetary incentive delay fMRI task. The results of the study

will have immediate public health and clinical implications providing clinicians, patients, and policymakers with

critical data on the impacts of prenatal cannabis exposure on youth mental health outcomes. Additionally, results

will aid in development of models for predicting psychosis risk during child development and inform future studies

on effects of in utero cannabis exposure. Completion of the training plan proposed here will provide essential

training in longitudinal modeling, neuroimaging approaches including task-based functional MRI (fMRI) and

machine learning techniques crucial to completing these aims. The Bearden and Cooper Labs and the

Neuroscience Interdepartmental Program at the University of California, Los Angeles will provide the ideal

training environments for the successful completion of this proposal.

Grant Number: 5F31DA060068-03
NIH Institute/Center: NIH

Principal Investigator: Carolyn Amir

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