2022
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome
Yoo K, Rosenberg MD, Kwon YH, Scheinost D, Constable RT, Chun MM. A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage 2022, 257: 119279. PMID: 35577026, PMCID: PMC9307138, DOI: 10.1016/j.neuroimage.2022.119279.Peer-Reviewed Original ResearchConceptsDifferent cognitive statesCognitive stateWhole-brain functional connectomeRelevant individual differencesFunctional reorganizationFunctional magnetic resonanceResting-state dataSpecific task goalsTask-induced modulationHuman Connectome ProjectContext-dependent changesIndividual differencesTask goalsContextual demandsBehavioral predictionsCognitive behaviorFunctional connectomeConnectome ProjectBrain connectomeHuman brainBrain functional reorganizationC2C modelConnectomeBrainMemory
2019
Connectome-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
2018
Task-induced brain state manipulation improves prediction of individual traits
Greene AS, Gao S, Scheinost D, Constable RT. Task-induced brain state manipulation improves prediction of individual traits. Nature Communications 2018, 9: 2807. PMID: 30022026, PMCID: PMC6052101, DOI: 10.1038/s41467-018-04920-3.Peer-Reviewed Original ResearchConceptsBrain statesIndividual differencesBrain-behavior relationshipsFluid intelligence scoresTask-based functional connectivity analysisResting-state fMRI dataBrain functional organizationFunctional connectivity analysisCognitive tasksFluid intelligenceIntelligence scoresFunctional connectivityFMRI dataConnectivity analysisHuman behaviorIndividual traitsTaskCertain tasksFunctional organizationOutperform modelsSuch relationshipsCognitionState manipulationIntelligenceVarianceMaternal Immune Activation During the Third Trimester Is Associated with Neonatal Functional Connectivity of the Salience Network and Fetal to Toddler Behavior
Spann MN, Monk C, Scheinost D, Peterson BS. Maternal Immune Activation During the Third Trimester Is Associated with Neonatal Functional Connectivity of the Salience Network and Fetal to Toddler Behavior. Journal Of Neuroscience 2018, 38: 2877-2886. PMID: 29487127, PMCID: PMC5852665, DOI: 10.1523/jneurosci.2272-17.2018.Peer-Reviewed Original ResearchConceptsMaternal immune activationC-reactive proteinFetal heart rate variabilityNeonatal functional connectivityInterleukin-6Postmenstrual ageImmune activationSalience networkFunctional connectivityPsychiatric disordersCRP levelsEpidemiological studiesMaternal C-reactive proteinResting-state imaging dataC-reactive protein levelsMaternal CRP levelsMaternal IL-6Months postmenstrual agePrenatal maternal immune activationSame psychiatric disordersWeeks postmenstrual ageIL-6 levelsAlters functional connectivityAltered brain developmentSame gestational age
2017
Characterizing Attention with Predictive Network Models
Rosenberg MD, Finn ES, Scheinost D, Constable RT, Chun MM. Characterizing Attention with Predictive Network Models. Trends In Cognitive Sciences 2017, 21: 290-302. PMID: 28238605, PMCID: PMC5366090, DOI: 10.1016/j.tics.2017.01.011.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderAttentional abilitiesLarge-scale brain networksLaboratory-based tasksDeficit hyperactivity disorderExplicit taskCognitive abilitiesHyperactivity disorderBrain networksBrain computationCognitive functionFunctional connectivityFunctional architectureTaskClinical dysfunctionEmpirical evidenceAttentionPredictive network modelsNeuromarkersNetwork modelAbilityRecent workNetwork propertiesDisordersPeople
2013
A preliminary investigation of Stroop-related intrinsic connectivity in cocaine dependence: associations with treatment outcomes
Mitchell MR, Balodis IM, DeVito EE, Lacadie CM, Yeston J, Scheinost D, Constable RT, Carroll KM, Potenza MN. A preliminary investigation of Stroop-related intrinsic connectivity in cocaine dependence: associations with treatment outcomes. The American Journal Of Drug And Alcohol Abuse 2013, 39: 392-402. PMID: 24200209, PMCID: PMC3827911, DOI: 10.3109/00952990.2013.841711.Peer-Reviewed Original ResearchConceptsTreatment outcomesComparison subjectsCocaine-dependent patientsIntrinsic connectivityCocaine dependenceSubstantia nigraVentral striatumTreatment-seeking cocaine-dependent patientsHealthy comparison subjectsPotential treatment targetGreater intrinsic connectivityRegional brain activationCocaine-dependent groupIntrinsic connectivity analysesNon-addicted individualsBasal gangliaInferior frontal gyrusCocaine-dependent individualsTreatment targetsFMRI Stroop taskSubcortical regionsCocaine abstinenceBrain regionsAnterior insulaFrontal gyrus