2023
Identification of a Composite Latent Dimension of Reward and Impulsivity Across Clinical, Behavioral, and Neurobiological Domains Among Youth
Kohler R, Lichenstein S, Cheng A, Holmes A, Bzdok D, Pearlson G, Yip S. Identification of a Composite Latent Dimension of Reward and Impulsivity Across Clinical, Behavioral, and Neurobiological Domains Among Youth. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2023, 9: 407-416. PMID: 38052266, PMCID: PMC11149944, DOI: 10.1016/j.bpsc.2023.11.008.Peer-Reviewed Original ResearchAttention deficit hyperactivity disorderDisruptive behavior disordersAnterior cingulate responsesLatent dimensionsAnticipatory reward processingDeficit hyperactivity disorderSingle latent dimensionRisk-taking behaviorNegative urgencyExecutive functionIndividual differencesNeurobiological domainsReward anticipationCingulate responseReward processingAdolescent brainCognitive developmentNeural substratesHyperactivity disorderDevelopmental trajectoriesEarly adolescenceMultivariate patternsReward processesBehavioral variablesBehavior disorder
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 estimatesOutcomesConnectome-Based Prediction of Cocaine Abstinence
Yip SW, Scheinost D, Potenza MN, Carroll KM. Connectome-Based Prediction of Cocaine Abstinence. American Journal Of Psychiatry 2019, 176: 156-164. PMID: 30606049, PMCID: PMC6481181, DOI: 10.1176/appi.ajp.2018.17101147.Peer-Reviewed Original ResearchMeSH KeywordsAdultBehavior TherapyBrainCholinesterase InhibitorsCocaine-Related DisordersCognitionConnectomeExecutive FunctionFemaleFunctional NeuroimagingGalantamineHumansIndividualityMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysOpiate Substitution TreatmentOpioid-Related DisordersPrognosisRewardTreatment OutcomeConceptsConnectome-based predictive modelingCocaine use disorderUse disordersBrain-based predictorsLarge-scale neural networksFunctional MRI dataCocaine abstinenceExecutive controlReward responsivenessIndividual differencesBaseline cocaine usePosttreatment assessmentConnectivity strengthHeterogeneous sampleAbstinenceIndependent samplesNovel interventionsCanonical networksSpecific behaviorsCocaine useSignificant correspondenceDisordersTreatment outcomesNetwork strengthMRI data