Featured Publications
Distinct 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 responders
2019
Dissociable neural substrates of opioid and cocaine use identified via connectome-based modelling
Lichenstein SD, Scheinost D, Potenza MN, Carroll KM, Yip SW. Dissociable neural substrates of opioid and cocaine use identified via connectome-based modelling. Molecular Psychiatry 2019, 26: 4383-4393. PMID: 31719641, PMCID: PMC7214212, DOI: 10.1038/s41380-019-0586-y.Peer-Reviewed Original ResearchConceptsBrain statesDissociable neural substratesMultiple brain statesSubstance use outcomesHealthy comparison subjectsWhole-brain approachFMRI scanningFrontoparietal networkNeural substratesSubstance use treatmentNeural mechanismsDifferent brain statesFurther clinical relevanceDefault modeFMRI dataSubject replicationTreatment approachesReduced connectivityUse outcomesComparison subjectsNetwork strengthUse disordersSensory networksTreatment respondersSensory connectivity