2024
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations
Adkinson B, Rosenblatt M, Dadashkarimi J, Tejavibulya L, Jiang R, Noble S, Scheinost D. Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations. Developmental Cognitive Neuroscience 2024, 70: 101464. PMID: 39447452, DOI: 10.1016/j.dcn.2024.101464.Peer-Reviewed Original ResearchBrain-phenotype associationsConnectome-based predictive modelingBrain-behavior associationsPrediction of languagePhiladelphia Neurodevelopmental CohortHealthy Brain NetworkClinical symptom burdenFMRI taskHuman Connectome ProjectExecutive functionBehavioral measuresDevelopmental populationsNeurodevelopmental CohortBrain networksDevelopmental sampleConnectome ProjectResearch settingsGeneralizabilitySymptom burdenExternal validationFMRIClinical settingAssociationEthnic minority representationTask
2018
Craving to Quit: A Randomized Controlled Trial of Smartphone App–Based Mindfulness Training for Smoking Cessation
Garrison KA, Pal P, O’Malley S, Pittman BP, Gueorguieva R, Rojiani R, Scheinost D, Dallery J, Brewer JA. Craving to Quit: A Randomized Controlled Trial of Smartphone App–Based Mindfulness Training for Smoking Cessation. Nicotine & Tobacco Research 2018, 22: 324-331. PMID: 29917096, PMCID: PMC7297096, DOI: 10.1093/ntr/nty126.Peer-Reviewed Original ResearchConceptsMindfulness trainingExperience samplingPreliminary evidenceSmartphone appPoint prevalence abstinence ratesMindfulnessSmoking cessationTreatment startersSmoking ratesGroup differencesGroup interactionCravingStrong positive associationAbstinence ratesTrainingTreatment completionPositive associationControlled TrialsTreat approachSmokingTrialsCigarettesMonthsAppsAssociation