2022
Hypoconnectivity between anterior insula and amygdala associates with future vulnerabilities in social development in a neurodiverse sample of neonates
Scheinost D, Chang J, Lacadie C, Brennan-Wydra E, Foster R, Boxberger A, Macari S, Vernetti A, Constable RT, Ment LR, Chawarska K. Hypoconnectivity between anterior insula and amygdala associates with future vulnerabilities in social development in a neurodiverse sample of neonates. Scientific Reports 2022, 12: 16230. PMID: 36171268, PMCID: PMC9517994, DOI: 10.1038/s41598-022-20617-6.Peer-Reviewed Original ResearchMeSH KeywordsAmygdalaBrainBrain MappingFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingNeural PathwaysPregnancySocial ChangeConceptsFirst Year InventoryAnterior insulaFunctional connectivityMaternal mental health factorsLeft anterior insulaState functional connectivityMental health factorsSubsample of participantsPostmenstrual ageSalience networkFamily historySocial domainsNeural circuitryAutismSocial behaviorBrain imagingHigher likelihoodInsulaSocial developmentHypoconnectivityExploratory analysisThird trimesterFuture onsetHealth factorsRisk score
2020
How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships
Greene AS, Gao S, Noble S, Scheinost D, Constable RT. How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships. Cell Reports 2020, 32: 108066. PMID: 32846124, PMCID: PMC7469925, DOI: 10.1016/j.celrep.2020.108066.Peer-Reviewed Original Research
2019
Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes
Parikh L, Seo D, Lacadie C, Belfort-Deaguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Constable R, Sherwin R, Hwang JJ. Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes. The Journal Of Clinical Endocrinology & Metabolism 2019, 105: dgz004. PMID: 31511876, PMCID: PMC6936965, DOI: 10.1210/clinem/dgz004.Peer-Reviewed Original ResearchConceptsState functional connectivityHealthy controlsDefault mode networkType 1 diabetes mellitusFunctional connectivityImpact of T1DMAcademic medical centerAngular gyrus connectivityBlood oxygenation levelState connectivity patternsFunctional connectivity analysisHyperinsulinemic euglycemicHypoglycemic unawarenessHypoglycemia unawarenessDiabetes mellitusHypoglycemic clampHypoglycemia awarenessFunctional outcomeMild hypoglycemiaGlycemic stateObservational studyMedical CenterT1DMHC volunteersType 1A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis
Noble S, Scheinost D, Constable RT. A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. NeuroImage 2019, 203: 116157. PMID: 31494250, PMCID: PMC6907736, DOI: 10.1016/j.neuroimage.2019.116157.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeural PathwaysReproducibility of ResultsConceptsIntraclass correlation coefficientTest-retest reliabilityFunctional connectivitySystematic reviewShort test-retest intervalsTest-retest reliability studyIndividual edgesNarrative summaryTest-retest intervalSearch of ScopusMeta-analytic estimatesCortical edgeRandom effectsQualitative reviewNeuroscience toolsReviewActive recordingReview of factorsExpense of validitySubject dataStudyRegions and Connections: Complementary Approaches to Characterize Brain Organization and Function
Horien C, Greene AS, Constable RT, Scheinost D. Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function. The Neuroscientist 2019, 26: 117-133. PMID: 31304866, PMCID: PMC7079335, DOI: 10.1177/1073858419860115.Peer-Reviewed Original ResearchMultivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors
Yoo K, Rosenberg MD, Noble S, Scheinost D, Constable RT, Chun MM. Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage 2019, 197: 212-223. PMID: 31039408, PMCID: PMC6591084, DOI: 10.1016/j.neuroimage.2019.04.060.Peer-Reviewed Original ResearchConceptsFunctional brain organizationFunctional connectivityFunctional connectivity featuresTest-retest sampleMultivariate functional connectivityCognitive skillsMental representationsIndividual differencesFMRI measuresBrain organizationBrain statesStrong predictionSpatial activity patternsFMRI datasetsConnectivity featuresIndividual behaviorProject samplesConnectivity estimatesTimecoursesActivity patternsCognitionPearson correlationIndividualsConnectivityUnivariate approachConnectome-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
Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies
Fong AHC, Yoo K, Rosenberg MD, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM. Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. NeuroImage 2018, 188: 14-25. PMID: 30521950, PMCID: PMC6401236, DOI: 10.1016/j.neuroimage.2018.11.057.Peer-Reviewed Original ResearchMeSH KeywordsAttentionBrainHumansIndividualityMagnetic Resonance ImagingModels, NeurologicalNeural PathwaysRestTask Performance and AnalysisConceptsAttention task performanceDynamic functional connectivityTask performanceIndividual differencesExecutive control brain networksFunctional connectivityFunctional brain scansAttention performanceTask conditionsAttention scoresBrain networksFMRI dataBrain regionsBetter attentionFC featuresFC matricesDFC matrixPearson's rAttentionIndividualsOne-subjectBrain scansConnectivityConnectomeCross-validation approachTask-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 manipulationIntelligenceVarianceResting-state functional connectivity predicts neuroticism and extraversion in novel individuals
Hsu WT, Rosenberg MD, Scheinost D, Constable RT, Chun MM. Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals. Social Cognitive And Affective Neuroscience 2018, 13: 224-232. PMID: 29373729, PMCID: PMC5827338, DOI: 10.1093/scan/nsy002.Peer-Reviewed Original Research
2017
Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder
Scheinost D, Holmes SE, DellaGioia N, Schleifer C, Matuskey D, Abdallah CG, Hampson M, Krystal JH, Anticevic A, Esterlis I. Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder. Neuropsychopharmacology 2017, 43: 1119-1127. PMID: 28944772, PMCID: PMC5854800, DOI: 10.1038/npp.2017.229.Peer-Reviewed Original ResearchConceptsMajor depressive disorderAnterior cingulate cortexIntrinsic functional connectivityMedial prefrontal cortexFunctional connectivityLarge-scale brain networksDepressive disorderMDD groupAnatomical covarianceBrain networksUnmedicated major depressive disorderWhole-brain intrinsic functional connectivitySystem-level disorderIntrinsic connectivity distributionRegional brain structureMultiple brain networksAltered connectivityCommon findingHealthy comparison participantsDepressive symptomsAltered volumeUnmedicated individualsLocal circuitryCingulate cortexDepressive symptomatologyInfluences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility
Noble S, Spann MN, Tokoglu F, Shen X, Constable RT, Scheinost D. Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility. Cerebral Cortex 2017, 27: 5415-5429. PMID: 28968754, PMCID: PMC6248395, DOI: 10.1093/cercor/bhx230.Peer-Reviewed Original ResearchCan brain state be manipulated to emphasize individual differences in functional connectivity?
Finn ES, Scheinost D, Finn DM, Shen X, Papademetris X, Constable RT. Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage 2017, 160: 140-151. PMID: 28373122, PMCID: PMC8808247, DOI: 10.1016/j.neuroimage.2017.03.064.Peer-Reviewed Original ResearchConceptsIndividual differencesFunctional connectivityBrain statesIndividual differences researchBrain functional organizationHuman Connectome ProjectDifferences researchBrain activityConnectome ProjectSubject variabilityNetworks of interestBehavioral phenotypesCertain tasksFunctional organizationDefault stateNeutral backdropOutline questionsFuture studiesConnectivityTaskUsing 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 ResearchMulti-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks
Qiu M, Scheinost D, Ramani R, Constable RT. Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks. NeuroImage 2017, 148: 130-140. PMID: 28069540, PMCID: PMC5410383, DOI: 10.1016/j.neuroimage.2016.12.080.Peer-Reviewed Original ResearchConceptsCerebral blood flowIntrinsic connectivity distributionLarge-scale brain networksFunctional connectivityReduced consciousnessBlood flowBrain networksSedation conditionsWhole-brain connectivityAltered connectivityMotor networkCBF dataRs-fMRIPharmacological alterationsConnectivity differencesPropofolMultiple large-scale brain networksUnique neural correlatesBlow flowFrontoparietal networkAnesthesiaKey markersDefault modeNeural correlatesSame subjects
2016
Multisite reliability of MR-based functional connectivity
Noble S, Scheinost D, Finn ES, Shen X, Papademetris X, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet DM, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Cannon TD, Constable RT. Multisite reliability of MR-based functional connectivity. NeuroImage 2016, 146: 959-970. PMID: 27746386, PMCID: PMC5322153, DOI: 10.1016/j.neuroimage.2016.10.020.Peer-Reviewed Original ResearchConceptsNorth American Prodrome Longitudinal StudyRight motor cortexIntrinsic connectivity distributionPosterior cingulate cortexFunctional connectivity studiesFunctional connectivity measurementsMultisite studyVoxel-wise connectivityConnectivity studiesConnectivity measuresSeed-based connectivityConnectivity analysisMotor cortexHealthy cohortCingulate cortexScan durationSingle-subject levelFcMRI dataFunctional connectivityConnectivity measurementsClinical populationsLittle dataLongitudinal studyMultisite reliabilityScanner manufacturersDoes prenatal stress alter the developing connectome?
Scheinost D, Sinha R, Cross SN, Kwon SH, Sze G, Constable RT, Ment LR. Does prenatal stress alter the developing connectome? Pediatric Research 2016, 81: 214-226. PMID: 27673421, PMCID: PMC5313513, DOI: 10.1038/pr.2016.197.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderDeficit hyperactivity disorderStress-related symptomsPrenatal exposureRisk factorsMajor depressionFetal brainMaternal stressPrenatal stressNeural elementsNeurobehavioral disordersFunctional connectivityHyperactivity disorderHuman neurodevelopmentDisordersAutism spectrum disorderFunctional networksConnectomeSpectrum disorderHuman connectomePregnancySymptomsNeurodevelopmentSchizophreniaBrainMethylphenidate Modulates Functional Network Connectivity to Enhance Attention
Rosenberg MD, Zhang S, Hsu WT, Scheinost D, Finn ES, Shen X, Constable RT, Li CS, Chun MM. Methylphenidate Modulates Functional Network Connectivity to Enhance Attention. Journal Of Neuroscience 2016, 36: 9547-9557. PMID: 27629707, PMCID: PMC5039242, DOI: 10.1523/jneurosci.1746-16.2016.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderSustained attentionWhole-brain connectivity patternsFunctional brain networksHyperactivity disorderBrain networksConnectivity patternsConnectome-based predictive modeling approachWhole-brain functional connectivity patternsWhole-brain functional connectivity networksSustained attention taskStop-signal taskDose of methylphenidateFunctional network connectivityCausal roleFunctional connectivity patternsHealthy adultsAttention taskCognitive abilitiesPromising neuromarkerNetwork strengthBehavioral predictionsADHD treatmentConnectivity signaturesFunctional connectivity networksPrenatal stress alters amygdala functional connectivity in preterm neonates
Scheinost D, Kwon SH, Lacadie C, Sze G, Sinha R, Constable RT, Ment LR. Prenatal stress alters amygdala functional connectivity in preterm neonates. NeuroImage Clinical 2016, 12: 381-388. PMID: 27622134, PMCID: PMC5009231, DOI: 10.1016/j.nicl.2016.08.010.Peer-Reviewed Original ResearchConceptsPrenatal stress exposurePreterm neonatesPreterm birthPrenatal stressStress exposureTerm controlsFunctional connectivityAmygdala connectivityNeuropsychiatric disordersResting-state functional magnetic resonance imagingPrenatal stress altersEarly life stressFunctional magnetic resonance imagingMagnetic resonance imagingPeristriate cortexPrenatal exposureHigh riskMaternal stressIndependent cohortNeonatesLeft amygdalaSubcortical regionsResonance imagingAmygdalaCohortLanguage at rest: A longitudinal study of intrinsic functional connectivity in preterm children
Rowlands MA, Scheinost D, Lacadie C, Vohr B, Li F, Schneider KC, Constable R, Ment LR. Language at rest: A longitudinal study of intrinsic functional connectivity in preterm children. NeuroImage Clinical 2016, 11: 149-157. PMID: 26937383, PMCID: PMC4753807, DOI: 10.1016/j.nicl.2016.01.016.Peer-Reviewed Original ResearchConceptsLeft occipito-temporal cortexOccipito-temporal cortexVerbal IQPerformance IQLanguage deficitsSignificant connectivity reductionsPreterm childrenIntrinsic functional connectivityFull IQFunctional connectivity networksFunctional connectivityIQAge 8PT childrenConnectivity reductionLong-range connectionsWorse performanceLinear mixed effects modelsLongitudinal studyConnectivity networksAge 16PT subjectsTS childrenCortical connectivityTerm children