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 featuresBehaviorConceptualizationCommentaryStudyFindingsSubstancesNetwork state dynamics underpin basal craving in a transdiagnostic population
Ye J, Garrison K, Lacadie C, Potenza M, Sinha R, Goldfarb E, Scheinost D. Network state dynamics underpin basal craving in a transdiagnostic population. Molecular Psychiatry 2024, 1-10. PMID: 39183336, DOI: 10.1038/s41380-024-02708-0.Peer-Reviewed Original ResearchConnectome-based predictive modelingBrain responsesRegulation of affective statesSample of healthy controlsTransdiagnostic populationTransdiagnostic sampleHigher cravingMotivational stateCravingFMRI methodsAffective statesScan runsExperimental stimuliNetwork engagementBrain dynamicsClinical implicationsHealthy controlsBrainIndividual variationState dynamicsCharacterize individualsReplication datasetPsychopathologyFMRIEngagementHealth information craving: Conceptualization, scale development and validation
Pian W, Zheng R, Potenza M, Chen L, Ma F. Health information craving: Conceptualization, scale development and validation. Information Processing & Management 2024, 61: 103717. DOI: 10.1016/j.ipm.2024.103717.Peer-Reviewed Original ResearchAddictive behaviorsCompulsive seekingCraving ScaleCravingSub-scalesCyberchondriaNomological validityScale developmentValidity assessmentEmpirical examinationPositive relationshipMulti-dimensional structureHealth informationScaleSeekingDiverse reliabilityValidityBehaviorParticipantsOperationalizationHealthIndividualsContextHow health risk of COVID-19 resurgence may trigger individual tendencies regarding COVID-19-related cyberchondria: Investigating the I-PACE model
Pian W, Chen L, Potenza M, Zheng R, Ma F. How health risk of COVID-19 resurgence may trigger individual tendencies regarding COVID-19-related cyberchondria: Investigating the I-PACE model. Information Processing & Management 2024, 61: 103722. DOI: 10.1016/j.ipm.2024.103722.Peer-Reviewed Original ResearchI-PACEIndividual's tendencyGeneral inhibitory controlI-PACE modelCOVID-19 health risksInhibitory controlModeration analysisDevelopment of cyberchondriaCyberchondriaPotential underlying mechanismsWell-beingBehavioral frameworkUnderlying mechanismsPerceived health risksCravingTendencyIndividualsModerately
2023
Connectome-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 connectivityCravingTransdiagnostic Connectome-Based Prediction of Craving
Garrison K, Sinha R, Potenza M, Gao S, Liang Q, Lacadie C, Scheinost D. Transdiagnostic Connectome-Based Prediction of Craving. American Journal Of Psychiatry 2023, 180: 445-453. PMID: 36987598, DOI: 10.1176/appi.ajp.21121207.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingImagery conditionFunctional connectomeSelf-reported cravingStudy of motivationDefault mode networkFunctional connectivity dataIndependent samplesKey phenomenological featuresNeural signaturesTransdiagnostic sampleTransdiagnostic perspectiveMode networkMotivated behaviorCentral constructAddictive disordersHuman behaviorConnectivity dataPhenomenological featuresStrongest predictorCravingTaskSubstance use-related disordersConnectomeIndividuals
2022
Neuromodulation treatments of problematic use of the Internet
Xu L, Geng X, Zhang J, Guo X, Potenza M, Zhang J. Neuromodulation treatments of problematic use of the Internet. Current Opinion In Behavioral Sciences 2022, 48: 101215. DOI: 10.1016/j.cobeha.2022.101215.Peer-Reviewed Original ResearchProblematic useBrain circuitsTranscranial direct current stimulationDorsolateral prefrontal cortexDirect current stimulationRepetitive transcranial magnetic stimulationExecutive controlNegative emotionsStimulus contextTranscranial magnetic stimulationAddictive behaviorsPrefrontal cortexCurrent stimulationAddiction severityBrain regionsMagnetic stimulationNeuromodulation treatmentsInvasive stimulationEmotionsCausal relationshipCravingFunctioningRigorous experimentsAddictionCortex
2020
Neurobiology of cue-reactivity, craving, and inhibitory control in non-substance addictive behaviors
Antons S, Brand M, Potenza MN. Neurobiology of cue-reactivity, craving, and inhibitory control in non-substance addictive behaviors. Journal Of The Neurological Sciences 2020, 415: 116952. PMID: 32534370, DOI: 10.1016/j.jns.2020.116952.Peer-Reviewed Original ResearchConceptsNon-substance addictive behaviorsAddictive behaviorsInhibitory controlPotential neurobiological mechanismsExecutive functioningSalience attributionNeurobiological foundationsSubstance use disordersNeurobiological factorsNeurobiological mechanismsBrain networksLife domainsRewarding behaviorNegative consequencesHabit formationCravingSpecific disordersNeurobiologyNeurochemical pathwaysAddictionFunctional impairmentFuture directionsSexual activityDisordersCues
2019
Gaming Disorder Is a Disorder due to Addictive Behaviors: Evidence from Behavioral and Neuroscientific Studies Addressing Cue Reactivity and Craving, Executive Functions, and Decision-Making
Brand M, Rumpf H, Demetrovics Z, King D, Potenza M, Wegmann E. Gaming Disorder Is a Disorder due to Addictive Behaviors: Evidence from Behavioral and Neuroscientific Studies Addressing Cue Reactivity and Craving, Executive Functions, and Decision-Making. Current Addiction Reports 2019, 6: 296-302. DOI: 10.1007/s40429-019-00258-y.Peer-Reviewed Original ResearchGambling disorderCue reactivitySubstance use disordersAddictive behaviorsInhibitory control processesUse disordersReviewThis narrative reviewCore processesRecreational gamersExecutive functionNeuroscientific studiesNeurobiological mechanismsGaming disorderControl processCore mechanismICD-11DisordersEmpirical evidenceNongamersNarrative reviewCravingBehavioralGamersBehaviorEvidence
2014
Biological Underpinning of Behavioural Addictions and Management Implications
Yau Y, Leeman R, Potenza M. Biological Underpinning of Behavioural Addictions and Management Implications. 2014, 1411-1442. DOI: 10.1007/978-88-470-5322-9_71.ChaptersBehavioral addictionsCue-induced cravingNon-substance addictionVideo game playPresent chapter reviewsMaladaptive engagementNeurocircuitry levelImpaired inhibitionFrontal areasBrain regionsMultiple domainsNeurochemical levelsBiological underpinningsMesolimbic dopaminergic pathwayAddictionGenetic overlapArea of researchChapter reviewsHistory evidenceInternet useDopaminergic pathwaysPsychopathologyCravingGamblingEating