2024
Development and initial testing of mindful journey: a digital mindfulness-based intervention for promoting recovery from Substance use disorder
Roos C, Kiluk B, Carroll K, Bricker J, Mun C, Sala M, Kirouac M, Stein E, John M, Palmer R, DeBenedictis A, Frisbie J, Haeny A, Barry D, Fucito L, Bowen S, Witkiewitz K, Kober H. Development and initial testing of mindful journey: a digital mindfulness-based intervention for promoting recovery from Substance use disorder. Annals Of Medicine 2024, 56: 2315228. PMID: 38382111, PMCID: PMC10883107, DOI: 10.1080/07853890.2024.2315228.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmbulatory CareHumansMindfulnessMobile ApplicationsMotivationSubstance-Related DisordersConceptsSubstance use disordersMindfulness-based interventionsPhone coachingQualitative feedbackPromote recoveryEvidence of feasibilityUse disorderPhase 2Promote long-term recoveryApp featuresUnmet needsAdjunctive interventionTen adultsSmartphone appLong-term recoveryInterventionTherapy videosMindfulness practiceParticipantsOutpatient treatmentMind toolPhase 1CoachingAcceptance dimensionQuantitative ratings
2022
Meta-analysis of human prediction error for incentives, perception, cognition, and action
Corlett PR, Mollick JA, Kober H. Meta-analysis of human prediction error for incentives, perception, cognition, and action. Neuropsychopharmacology 2022, 47: 1339-1349. PMID: 35017672, PMCID: PMC9117315, DOI: 10.1038/s41386-021-01264-3.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceCognitionHumansMagnetic Resonance ImagingMotivationPerceptionRewardConceptsPE signalsDorsomedial prefrontal cortexFamily-wise error correctionPrediction errorHealthy adult participantsSocial inferenceVisual hierarchyVisual perceptionActivation coordinatesFunctional neuroimagingPrefrontal cortexCognitive functionComputational neuroscienceAdult participantsCognitionNeural firingPerceptionError signalArtificial intelligenceTheoretical modelSmall sample sizeWhole brainNeuroscienceRewardMKDA
2020
Computational Models of Drug Use and Addiction: A Review
Mollick JA, Kober H. Computational Models of Drug Use and Addiction: A Review. Journal Of Psychopathology And Clinical Science 2020, 129: 544-555. PMID: 32757599, PMCID: PMC7416739, DOI: 10.1037/abn0000503.Peer-Reviewed Original ResearchConceptsBrain-based modelsBehavioral controlComputational modelGoal-directed systemAspects of addictionCurrent computational modelsExecutive control circuitPredictive coding approachSymptoms of addictionModel of learningComputational accountPrediction errorComputational theoryPrefrontal cortexDrug useBrain areasDorsal striatumAddictionDopamine systemEffects of drugsBasal gangliaHuman dataCoding approachesBroad categoriesMotivation