2024
Network 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 datasetPsychopathologyFMRIEngagement
2021
Religion, Morality, Ethics, and Problematic Pornography Use
Mestre-Bach G, Blycker G, Actis C, Brand M, Potenza M. Religion, Morality, Ethics, and Problematic Pornography Use. Current Addiction Reports 2021, 8: 568-577. DOI: 10.1007/s40429-021-00388-2.Peer-Reviewed Original Research
2020
Towards a cross-cultural assessment of binge-watching: Psychometric evaluation of the “watching TV series motives” and “binge-watching engagement and symptoms” questionnaires across nine languages
Flayelle M, Castro-Calvo J, Vögele C, Astur R, Ballester-Arnal R, Challet-Bouju G, Brand M, Cárdenas G, Devos G, Elkholy H, Grall-Bronnec M, James R, Jiménez-Martínez M, Khazaal Y, Valizadeh-Haghi S, King D, Liu Y, Lochner C, Steins-Loeber S, Long J, Potenza M, Rahmatizadeh S, Schimmenti A, Stein D, Tóth-Király I, Tunney R, Wang Y, Zhai Z, Maurage P, Billieux J. Towards a cross-cultural assessment of binge-watching: Psychometric evaluation of the “watching TV series motives” and “binge-watching engagement and symptoms” questionnaires across nine languages. Computers In Human Behavior 2020, 111: 106410. DOI: 10.1016/j.chb.2020.106410.Peer-Reviewed Original ResearchInternet useProblematic Internet useCross-cultural researchTV series viewersCross-cultural assessmentAdditional self-report measuresLanguageStudent populationPresent article reportsArticle reportsHappinessViewersEngagementResearchMeasurement invarianceGenderCorrelational analysisUniversity student populationMotivationView