2024
Edge-centric network control on the human brain structural network
Sun H, Rosenblatt M, Dadashkarimi J, Rodriguez R, Tejavibulya L, Scheinost D. Edge-centric network control on the human brain structural network. Imaging Neuroscience 2024, 2: 1-15. DOI: 10.1162/imag_a_00191.Peer-Reviewed Original ResearchHuman brain structural networksNetwork control theoryEdge controlWhole-brain networksHuman Connectome ProjectDiffusion MRI dataWhite matter connectivityConnectome ProjectBrain dynamicsExecutive functionBrain structural networksBrain network connectivityBrain connectivityFunctional connectomeState transitionsTransitionEnergy patternsTheory modelBrain energy consumptionDynamic processStructural networkStateNetwork control mechanismsCognitive statesNetwork pairs
2022
Multimodal neuroimaging of metabotropic glutamate 5 receptors and functional connectivity in alcohol use disorder
Smart K, Worhunsky PD, Scheinost D, Angarita GA, Esterlis I, Carson RE, Krystal JH, O'Malley SS, Cosgrove KP, Hillmer AT. Multimodal neuroimaging of metabotropic glutamate 5 receptors and functional connectivity in alcohol use disorder. Alcohol Clinical And Experimental Research 2022, 46: 770-782. PMID: 35342968, PMCID: PMC9117461, DOI: 10.1111/acer.14816.Peer-Reviewed Original ResearchConceptsMetabotropic glutamate 5 receptorsDefault mode networkFunctional magnetic resonance imagingReceptor availabilityPositron emission tomographyAUD groupFunctional connectivityReceptor positron emission tomographyResting-state functional magnetic resonance imagingNetwork-level functional connectivityBrain connectivityWeeks of abstinenceGlobal functional connectivityAlcohol use disorderMagnetic resonance imagingFMRI outcomesHealthy controlsSupervised abstinencePET resultsUse disordersSynaptic plasticityResonance imagingBrain regionsEmission tomographyOrbitofrontal cortex
2020
Association of Maternal Prepregnancy Body Mass Index With Fetal Growth and Neonatal Thalamic Brain Connectivity Among Adolescent and Young Women
Spann MN, Scheinost D, Feng T, Barbato K, Lee S, Monk C, Peterson BS. Association of Maternal Prepregnancy Body Mass Index With Fetal Growth and Neonatal Thalamic Brain Connectivity Among Adolescent and Young Women. JAMA Network Open 2020, 3: e2024661. PMID: 33141162, PMCID: PMC7610195, DOI: 10.1001/jamanetworkopen.2020.24661.Peer-Reviewed Original ResearchConceptsMaternal prepregnancy BMIMaternal prepregnancy body mass indexPrepregnancy body mass indexNeonatal functional connectivityPrepregnancy BMIBody mass indexFetal growthFunctional connectivityFetal weightMass indexMAIN OUTCOMEHigher maternal prepregnancy body mass indexElectronic health record reviewAdverse long-term outcomesProspective longitudinal cohort studyColumbia University Irving Medical CenterBrain connectivityHigher maternal BMIHealth record reviewLong-term outcomesRoutine prenatal careLongitudinal cohort studyMajor health problemFetal head circumferenceTime of recruitmentFunctional brain connectivity in ex utero premature infants compared to in utero fetuses
De Asis-Cruz J, Kapse K, Basu SK, Said M, Scheinost D, Murnick J, Chang T, du Plessis A, Limperopoulos C. Functional brain connectivity in ex utero premature infants compared to in utero fetuses. NeuroImage 2020, 219: 117043. PMID: 32534962, PMCID: PMC7493786, DOI: 10.1016/j.neuroimage.2020.117043.Peer-Reviewed Original ResearchConceptsPremature infantsHealthy fetusesBrain connectivityStructural brain injuryBlood oxygenation level-dependent (BOLD) signalBrain structural changesStress-related areasNormal brain MRIState functional MRIFunctional connectivity strengthFunctional brain connectivityLevel-dependent signalMedial temporal lobeNetwork-based statisticsSeed-based correlation analysisUtero fetusesBasal gangliaBrain injuryTerm ageBrain MRITemporal lobeExposure altersInfantsRegion of interestFunctional MRIFunctional connectivity predicts changes in attention observed across minutes, days, and months
Rosenberg MD, Scheinost D, Greene AS, Avery EW, Kwon YH, Finn ES, Ramani R, Qiu M, Constable RT, Chun MM. Functional connectivity predicts changes in attention observed across minutes, days, and months. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 3797-3807. PMID: 32019892, PMCID: PMC7035597, DOI: 10.1073/pnas.1912226117.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelsAttentional stateSustained attentionIndividual differencesSustained attention functionFunctional connectivity signaturesFunctional brain connectivityFunctional connectivity patternsAttention functionConnectivity signaturesFunctional connectivityBrain connectivityConnectivity patternsAttentionSingle personSame patternIndividualsConnectivityIndependent studiesRecent workState changesPersonsPeopleDifferencesAbility
2019
An information network flow approach for measuring functional connectivity and predicting behavior
Kumar S, Yoo K, Rosenberg MD, Scheinost D, Constable RT, Zhang S, Li C, Chun MM. An information network flow approach for measuring functional connectivity and predicting behavior. Brain And Behavior 2019, 9: e01346. PMID: 31286688, PMCID: PMC6710195, DOI: 10.1002/brb3.1346.Peer-Reviewed Original ResearchConceptsFunctional brain connectivityFunctional magnetic resonance imagingFMRI time coursesIndividual differencesTask performanceMeasures of attentionSustained attention taskAttention task performanceResting-state fMRI dataSample of individualsAttention taskFMRI dataFunctional connectivityFC patternsBrain connectivityPearson correlationInformation theory statisticsInformation flowMachine-learning modelsMeasuresMagnetic resonance imagingAttentionNetwork flow approachTime courseDifferent datasets
2017
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12: 506-518. PMID: 28182017, PMCID: PMC5526681, DOI: 10.1038/nprot.2016.178.Peer-Reviewed Original Research
2016
Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks
Scheinost D, Tokoglu F, Shen X, Finn ES, Noble S, Papademetris X, Constable RT. Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Transactions On Biomedical Engineering 2016, 63: 2540-2549. PMID: 27541328, PMCID: PMC5180443, DOI: 10.1109/tbme.2016.2600248.Peer-Reviewed Original ResearchConceptsGlobal brain activityResting-state networksWhole-brain connectivityBrain activityResting-state functional magnetic resonance imagingTime pointsFunctional resting-state networksFunctional magnetic resonance imagingMagnetic resonance imagingResting-state studyBrain statesRSN connectivitySensory functionSubcortical regionsResonance imagingCognitive functionCoactivation patternsUnique brain statesBrain connectivityActivity stateCritical time pointsFunctional networksSignal intensityVoxel-based methodBrain dynamics
2015
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
Finn ES, Shen X, Scheinost D, Rosenberg MD, Huang J, Chun MM, Papademetris X, Constable RT. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience 2015, 18: 1664-1671. PMID: 26457551, PMCID: PMC5008686, DOI: 10.1038/nn.4135.Peer-Reviewed Original Research
2013
Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity
Scheinost D, Stoica T, Saksa J, Papademetris X, Constable RT, Pittenger C, Hampson M. Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity. Translational Psychiatry 2013, 3: e250-e250. PMID: 23632454, PMCID: PMC3641411, DOI: 10.1038/tp.2013.24.Peer-Reviewed Original ResearchConceptsResting-state connectivityContamination anxietyBrain regionsNF trainingBrain connectivityResting-state functional connectivityFunctional magnetic resonance imaging (fMRI) neurofeedbackPotential of neurofeedbackRelevant brain networksResting-state fMRIDorsolateral prefrontal cortexTarget brain regionsBrain functional architectureUseful therapyLimbic circuitryMatched subjectsOrbitofrontal regionsOrbitofrontal cortexFunctional connectivityPrefrontal cortexHuman emotionsFeedback control tasksSubclinical anxietyAnxiety regulationBrain networks
2012
Intrinsic Brain Connectivity Related to Age in Young and Middle Aged Adults
Hampson M, Tokoglu F, Shen X, Scheinost D, Papademetris X, Constable RT. Intrinsic Brain Connectivity Related to Age in Young and Middle Aged Adults. PLOS ONE 2012, 7: e44067. PMID: 22984460, PMCID: PMC3439483, DOI: 10.1371/journal.pone.0044067.Peer-Reviewed Original ResearchConceptsDefault mode networkIntrinsic brain connectivityAge-related differencesVoxel-based measureEmotional processingRecent developmental studiesState connectivityMode networkCognitive functionBrain scienceVisual areasMiddle-aged adultsFunctional connectivityYoung adulthoodBrain connectivityIndividual tissue elementsCortical regionsDevelopmental studiesHuman brainSubcortical regionsAged adultsPrevious findingsAge-related variationsEarly growth trajectoriesNetwork measures