2023
Diagnostic group differences and exploratory sex differences in intrinsic connectivity during fMRI Stroop in individuals with and without cocaine use disorder
Zakiniaeiz Y, Lacadie C, Macdonald-Gagnon G, DeVito E, Potenza M. Diagnostic group differences and exploratory sex differences in intrinsic connectivity during fMRI Stroop in individuals with and without cocaine use disorder. Drug And Alcohol Dependence 2023, 251: 110962. PMID: 37716288, PMCID: PMC10557108, DOI: 10.1016/j.drugalcdep.2023.110962.Peer-Reviewed Original ResearchConceptsCocaine use disorderCognitive controlStroop performanceIntrinsic connectivityStroop task performanceFMRI Stroop taskDiagnostic groupsUse disordersDiagnostic group differencesMain effectHealthy comparison subjectsStroop effectStroop taskBehavioral resultsTask performanceFrontal gyrusIntrinsic connectivity distributionPrefrontal cortexAuditory areasGroup differencesBrain connectivityCingulate gyrusStroopBehavioral differencesHC groupDiscriminating cocaine use from other sympathomimetics using wearable electrocardiographic (ECG) sensors
Angarita G, Pittman B, Nararajan A, Mayerson T, Parate A, Marlin B, Gueorguieva R, Potenza M, Ganesan D, Malison R. Discriminating cocaine use from other sympathomimetics using wearable electrocardiographic (ECG) sensors. Drug And Alcohol Dependence 2023, 250: 110898. PMID: 37523916, PMCID: PMC10905422, DOI: 10.1016/j.drugalcdep.2023.110898.Peer-Reviewed Original ResearchDistinct neural networks predict cocaine versus cannabis treatment outcomes
Lichenstein S, Kohler R, Ye F, Potenza M, Kiluk B, Yip S. Distinct neural networks predict cocaine versus cannabis treatment outcomes. Molecular Psychiatry 2023, 28: 3365-3372. PMID: 37308679, PMCID: PMC10713861, DOI: 10.1038/s41380-023-02120-0.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingCognitive behavior therapyCognitive behavioral therapySubstance use disordersCannabis abstinenceNeural mechanismsBehavior therapyDistinct neural networksComputer-based trainingCannabis use disorderFMRI scanningNeural predictorsStudy 1Study 2Treatment outcomesContingency managementPrior workComparison subjectsNetwork strengthUse disordersNovel treatment targetsAbstinenceIndependent samplesCocaine abstinenceTreatment respondersConnectome-based prediction of craving in gambling disorder and cocaine use disorder
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Connectome-based prediction of craving in gambling disorder and cocaine use disorder. Dialogues In Clinical Neuroscience 2023, 25: 33-42. PMID: 37190759, PMCID: PMC10190201, DOI: 10.1080/19585969.2023.2208586.Peer-Reviewed Original ResearchConceptsCocaine use disorderGambling disorderBehavioral addictionsCue-reactivity taskComponents of memoryGeneral neural mechanismCommon neural networkFunctional magnetic resonanceMedial frontal regionsDefault mode networkFeatures of addictionAutobiographical memoryValence ratingsMeta-analytic dataPrefrontal regionsNeural mechanismsPrefrontal cortexFronto-parietalFrontal regionsMotor imageryMotor/Diverse sampleLimbic networkNeural connectivityCraving
2017
White-matter crossing-fiber microstructure in adolescents prenatally exposed to cocaine
Morie KP, Yip SW, Zhai ZW, Xu J, Hamilton KR, Sinha R, Mayes LC, Potenza MN. White-matter crossing-fiber microstructure in adolescents prenatally exposed to cocaine. Drug And Alcohol Dependence 2017, 174: 23-29. PMID: 28292689, PMCID: PMC5555052, DOI: 10.1016/j.drugalcdep.2017.01.011.Peer-Reviewed Original ResearchConceptsPrenatal cocaine exposureSuperior longitudinal fasciculusPCE adolescentsCrossing-fiber modelsGroup differencesWhole-brain investigationNon-exposed youthWhole-brain analysisSignificant group differencesAltered white matter developmentLeft superior longitudinal fasciculusRisk-taking behaviorNeurobiological underpinningsWhite matter developmentWhite matter microstructureSubstance useWhite matter differencesWhite matter regionsAdolescentsDiffusion-weighted imaging dataCocaine exposureLongitudinal cohortBilateral cingulumCorpus callosumROI analysis