2021
Densely sampled neuroimaging for maximizing clinical insight in psychiatric and addiction disorders
Yip SW, Konova AB. Densely sampled neuroimaging for maximizing clinical insight in psychiatric and addiction disorders. Neuropsychopharmacology 2021, 47: 395-396. PMID: 34354248, PMCID: PMC8617277, DOI: 10.1038/s41386-021-01124-0.Peer-Reviewed Original Research
2020
Is monetary reward processing altered in drug-naïve youth with a behavioral addiction? Findings from internet gaming disorder
Yao YW, Liu L, Worhunsky PD, Lichenstein S, Ma SS, Zhu L, Shi XH, Yang S, Zhang JT, Yip SW. Is monetary reward processing altered in drug-naïve youth with a behavioral addiction? Findings from internet gaming disorder. NeuroImage Clinical 2020, 26: 102202. PMID: 32045732, PMCID: PMC7013339, DOI: 10.1016/j.nicl.2020.102202.Peer-Reviewed Original ResearchConceptsMonetary reward processingInternet gaming disorderReward processingBehavioral addictionsSubstance use disordersNeural responsesGaming disorderMonetary incentive delay taskCurrent fMRI studyDrug-naïve young adultsNon-drug rewardsAltered reward processingIncentive delay taskDrug-naïve youthUse disordersDelay taskProcessing alterationsCaudate activityFMRI studyDrugs of abuseTrait featuresNeural activityNeural featuresOutcome stageSubstance exposure
2019
Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research
Yip SW, Kiluk B, Scheinost D. Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2019, 5: 748-758. PMID: 31932230, PMCID: PMC8274215, DOI: 10.1016/j.bpsc.2019.11.001.Peer-Reviewed Original ResearchConceptsIndividual differencesBrain-behavior modelsFuture neuroimaging researchLikelihood of replicationEvidence-based treatmentsNeuroimaging researchEffect size estimatesSubstance useDirection of associationAnatomical locusBrain functionTreatment outcomesModeling findingsClinical samplesNovel subjectRelapse rateClinical outcomesPredictive modeling approachUnsuccessful treatmentLeading causeIndividualsClinical settingParticular riskSize estimatesOutcomesTen simple rules for predictive modeling of individual differences in neuroimaging
Scheinost D, Noble S, Horien C, Greene AS, Lake EM, Salehi M, Gao S, Shen X, O’Connor D, Barron DS, Yip SW, Rosenberg MD, Constable RT. Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage 2019, 193: 35-45. PMID: 30831310, PMCID: PMC6521850, DOI: 10.1016/j.neuroimage.2019.02.057.Peer-Reviewed Original ResearchMeSH KeywordsBrainConnectomeHumansMachine LearningMagnetic Resonance ImagingModels, NeurologicalNeuroimagingConceptsBrain-behavior associations
2018
Can neuroimaging help combat the opioid epidemic? A systematic review of clinical and pharmacological challenge fMRI studies with recommendations for future research
Moningka H, Lichenstein S, Worhunsky PD, DeVito EE, Scheinost D, Yip SW. Can neuroimaging help combat the opioid epidemic? A systematic review of clinical and pharmacological challenge fMRI studies with recommendations for future research. Neuropsychopharmacology 2018, 44: 259-273. PMID: 30283002, PMCID: PMC6300537, DOI: 10.1038/s41386-018-0232-4.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsBrainHumansMagnetic Resonance ImagingNeuroimagingOpioid-Related DisordersResearch DesignConceptsOpioid use disorderOpioid epidemicTreatment responseTask-based fMRI paradigmsUrgent public health problemMedication-assisted treatmentPrescription opioid usersCurrent opioid epidemicPublic health problemEvidence-based treatmentsPaucity of literatureHeroin cuesOpioid medicationsRelapse rateOpioid systemOpioid usersFuture neuroimaging studiesSignificant individual variabilityHealthcare costsWithdrawal effectsHealthy individualsHealth problemsSystematic reviewExtended abstinenceNeuroimaging studies
2017
White-matter crossing-fiber microstructure in adolescents prenatally exposed to cocaine
Morie KP, Yip SW, Zhai ZW, Xu J, Hamilton KR, Sinha R, Mayes LC, Potenza MN. White-matter crossing-fiber microstructure in adolescents prenatally exposed to cocaine. Drug And Alcohol Dependence 2017, 174: 23-29. PMID: 28292689, PMCID: PMC5555052, DOI: 10.1016/j.drugalcdep.2017.01.011.Peer-Reviewed Original ResearchConceptsPrenatal cocaine exposureSuperior longitudinal fasciculusPCE adolescentsCrossing-fiber modelsGroup differencesWhole-brain investigationNon-exposed youthWhole-brain analysisSignificant group differencesAltered white matter developmentLeft superior longitudinal fasciculusRisk-taking behaviorNeurobiological underpinningsWhite matter developmentWhite matter microstructureSubstance useWhite matter differencesWhite matter regionsAdolescentsDiffusion-weighted imaging dataCocaine exposureLongitudinal cohortBilateral cingulumCorpus callosumROI analysis