2019
Dissociable neural substrates of opioid and cocaine use identified via connectome-based modelling
Lichenstein SD, Scheinost D, Potenza MN, Carroll KM, Yip SW. Dissociable neural substrates of opioid and cocaine use identified via connectome-based modelling. Molecular Psychiatry 2019, 26: 4383-4393. PMID: 31719641, PMCID: PMC7214212, DOI: 10.1038/s41380-019-0586-y.Peer-Reviewed Original ResearchConceptsBrain statesDissociable neural substratesMultiple brain statesSubstance use outcomesHealthy comparison subjectsWhole-brain approachFMRI scanningFrontoparietal networkNeural substratesSubstance use treatmentNeural mechanismsDifferent brain statesFurther clinical relevanceDefault modeFMRI dataSubject replicationTreatment approachesReduced connectivityUse outcomesComparison subjectsNetwork strengthUse disordersSensory networksTreatment respondersSensory connectivity
2017
Connectome-based Models Predict Separable Components of Attention in Novel Individuals
Rosenberg MD, Hsu WT, Scheinost D, Constable R, Chun MM. Connectome-based Models Predict Separable Components of Attention in Novel Individuals. Journal Of Cognitive Neuroscience 2017, 30: 160-173. PMID: 29040013, DOI: 10.1162/jocn_a_01197.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingAttention Network TaskExecutive controlIntrinsic functional organizationRT variabilityANT performanceInfluential modelFunctional connectivityBrain's intrinsic functional organizationComponents of attentionExecutive control scoresResting-state functional connectivityResting-state dataFunctional brain networksFunctional organizationTask-based dataAttentional abilitiesUpcoming stimulusExplicit taskSustained attentionFMRI scanningAttention factorNovel individualsAdditional independent componentNetwork tasks