2024
Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods. Journal Of Behavioral Addictions 2024, 13: 695-701. PMID: 39356557, PMCID: PMC11457034, DOI: 10.1556/2006.2024.00050.Peer-Reviewed Original ResearchConceptsAddictive behaviorsDisorders due to addictive behaviorsConnectome-based predictive modelingPrediction of cravingInvestigate neural mechanismsSubstance use disordersNeural mechanismsCravingSubstance useMethodological considerationsDisordersMethodological featuresBehaviorConceptualizationCommentaryStudyFindingsSubstancesEfficacy and Neural Mechanisms of Mindfulness Meditation Among Adults With Internet Gaming Disorder
Ni H, Wang H, Ma X, Li S, Liu C, Song X, Potenza M, Dong G. Efficacy and Neural Mechanisms of Mindfulness Meditation Among Adults With Internet Gaming Disorder. JAMA Network Open 2024, 7: e2416684. PMID: 38888924, PMCID: PMC11185988, DOI: 10.1001/jamanetworkopen.2024.16684.Peer-Reviewed Original ResearchConceptsInternet gaming disorderDSM-5-TRProgressive muscle relaxationMindfulness meditationProgressive muscle relaxation groupNeural mechanismsGaming cravingsAddiction severityDecreased cravingFunctional connectivityAssociated with decreased brain activitySeverity of internet gaming disorderInternet gaming disorder severityTreating Internet Gaming DisorderBlood oxygen level-dependent signalCue-craving taskMedial frontal gyrusPotential neural mechanismsProgressive muscle relaxation trainingBilateral lentiform nucleusFrontal gyrusIncreased mindfulnessBrain measuresGaming disorderBrain regions
2023
Neural correlates of negative life events and their relationships with alcohol and cannabis use initiation
Zhao Y, Potenza M, Tapert S, Paulus M. Neural correlates of negative life events and their relationships with alcohol and cannabis use initiation. Dialogues In Clinical Neuroscience 2023, 25: 112-121. PMID: 37916739, PMCID: PMC10623894, DOI: 10.1080/19585969.2023.2252437.Peer-Reviewed Original ResearchConceptsNegative life eventsCannabis initiationGreater cortical thicknessCaudate gray matter volumeGray matter volumeDose-response relationshipOdds of alcoholLife eventsInitiation of alcoholSubstance Use InitiationCortical thicknessSubstance-naïveSuperior temporal sulcusNeural pathwaysCannabis useBrain structuresAlcohol useUse initiationAlcohol initiationSubstance use trajectoriesPoor academic performanceTemporal sulcusNeural mechanismsCannabisLinear regression modelsNeuroimaging Correlates of Internet Gaming Disorder: Can We Achieve the Promise of Translating Understanding of Brain Functioning Into Clinical Advances?
Mestre-Bach G, Potenza M. Neuroimaging Correlates of Internet Gaming Disorder: Can We Achieve the Promise of Translating Understanding of Brain Functioning Into Clinical Advances? The Canadian Journal Of Addiction 2023, 14: 7-17. PMID: 38371925, PMCID: PMC10871672, DOI: 10.1097/cxa.0000000000000178.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsNeural mechanisms linked to treatment outcomes and recovery in substance-related and addictive disorders
Mestre-Bach G, Potenza M. Neural mechanisms linked to treatment outcomes and recovery in substance-related and addictive disorders. Dialogues In Clinical Neuroscience 2023, 25: 75-91. PMID: 37594217, PMCID: PMC10444012, DOI: 10.1080/19585969.2023.2242359.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNeural mechanismsAddictive disordersPotential neural mechanismsTreatment development effortsInternet gaming disorderBrain processesSubstance use disordersAdvanced analytic approachesGaming disorderImpulse controlTreatment developmentUse disordersPsychiatric conditionsExtant dataTreatment utilityAddictionDisordersAnalytic approachTreatment outcomesNarrative reviewIntervention administrationMedication challengePresent reviewMain modelsContextDistinct 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
2019
How Spirituality May Mitigate Against Stress and Related Mental Disorders: a Review and Preliminary Neurobiological Evidence
McClintock C, Worhunsky P, Balodis I, Sinha R, Miller L, Potenza M. How Spirituality May Mitigate Against Stress and Related Mental Disorders: a Review and Preliminary Neurobiological Evidence. Current Behavioral Neuroscience Reports 2019, 6: 253-262. DOI: 10.1007/s40473-019-00195-0.Peer-Reviewed Original ResearchBrain mechanismsStress processingSelf-referential processingFunctional magnetic resonance imaging (fMRI) dataPotential brain mechanismsSpecific brain mechanismsImportant resilience factorMental disordersPreliminary fMRI dataStress-related psychopathologyMechanisms of psychopathologyDefault mode networkStress-related mental disordersCognitive processingNeurobiological evidenceNeural mechanismsNeural responsesNeuroscientific researchResilience factorsMagnetic resonance imaging dataNeural circuitryFMRI dataStress responsivityBrain regionsAcute stressNeural Correlates of Personalized Spiritual Experiences
Miller L, Balodis IM, McClintock CH, Xu J, Lacadie CM, Sinha R, Potenza MN. Neural Correlates of Personalized Spiritual Experiences. Cerebral Cortex 2019, 29: 2331-2338. PMID: 29846531, PMCID: PMC6519691, DOI: 10.1093/cercor/bhy102.Peer-Reviewed Original ResearchConceptsInferior parietal lobuleNeural correlatesNeural mechanismsSpiritual experiencesLeft inferior parietal lobuleUnderlying neural mechanismsPerceptual processingEmotional processingSense of unionBrain correlatesParietal lobuleStress cuesCuesCorrelatesReduced activitySelfExperienceHuman beingsProcessingMedial thalamusTaskSpiritual conditionSenseDifferent traditionsCaudate
2017
Chapter 34 Stroop, Cocaine Dependence, and Intrinsic Connectivity
Mitchell M, Potenza M. Chapter 34 Stroop, Cocaine Dependence, and Intrinsic Connectivity. 2017, 331-339. DOI: 10.1016/b978-0-12-803750-8.00034-8.ChaptersCognitive controlUnderlying neural mechanismsCocaine dependenceCocaine use disorderCognitive interferenceNeurocognitive tasksResponse inhibitionNeural mechanismsIntrinsic connectivityPsychopathological conditionsStroopBrain circuitryDistinct networksBody of literatureTreatment outcomesSuch topicsTaskAddictionDisordersCircuitryDifficultiesConnectivityContext
2013
Chapter 42 Common Neural Mechanisms in Obesity and Drug Addiction
Gearhardt A, Potenza M. Chapter 42 Common Neural Mechanisms in Obesity and Drug Addiction. 2013, 425-429. DOI: 10.1016/b978-0-12-398335-0.00042-x.ChaptersReward-related neural responsesDrug-related cuesCommon neural mechanismsDrug addictionNeural similarityNeural mechanismsNeural responsesNeural activationAddictive behaviorsDrugs of abusePalatable foodImportant next stepSubstance dependenceAddictionRecent researchDopaminergic systemPublic health implicationsDiagnostic differencesImportant treatmentCuesObesitySimilar patternHealth implicationsAbuseEssential nature