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 connectivityCravingPopulation level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children
Lin H, Haider S, Kaltenhauser S, Mozayan A, Malhotra A, Constable R, Scheinost D, Ment L, Konrad K, Payabvash S. Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children. Frontiers In Neuroscience 2023, 17: 1138670. PMID: 36908780, PMCID: PMC9992191, DOI: 10.3389/fnins.2023.1138670.Peer-Reviewed Original ResearchAttention deficit hyperactivity disorderADHD diagnosisHyperactivity disorderChildhood attention deficit hyperactivity disorderAssociation of ADHDDorsal attention networkFunctional MRI studyDefault mode networkResting-state fMRIADHD childrenAttention functionLimitations of machineAttention networkFrontal regionsNeuroimaging datasetsNeurobiological implicationsParietal lobeFrontal lobe cortexCortical volumeFractional anisotropyFunctional neuroimaging datasetsChildrenWhite matter tractsNeurite densityMicrostructural integrity