2019
Individualized functional networks reconfigure with cognitive state
Salehi M, Karbasi A, Barron DS, Scheinost D, Constable RT. Individualized functional networks reconfigure with cognitive state. NeuroImage 2019, 206: 116233. PMID: 31574322, PMCID: PMC7216521, DOI: 10.1016/j.neuroimage.2019.116233.Peer-Reviewed Original ResearchConceptsCognitive stateFunctional networksMultiple cognitive statesFunctional network organizationFunctional organizationBrain functional networksTask demandsFMRI dataSimilar tasksParcellation approachHuman brainNetwork organizationExtensive evidenceMultiple subjectsBrainNetwork membershipTaskOrganizationSubjectsParcellationSuch reconfigurationMeasuresMembershipFindingsSuch definitionsDynamic‐flip‐angle ECG‐gating with nuisance signal regression improves resting‐state BOLD functional connectivity mapping by reducing cardiogenic noise
Hu C, Tokoglu F, Scheinost D, Qiu M, Shen X, Peters DC, Galiana G, Constable RT. Dynamic‐flip‐angle ECG‐gating with nuisance signal regression improves resting‐state BOLD functional connectivity mapping by reducing cardiogenic noise. Magnetic Resonance In Medicine 2019, 82: 911-923. PMID: 31016782, DOI: 10.1002/mrm.27775.Peer-Reviewed Original Research
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 ResearchConceptsAttention 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
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 tasksInfluences 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 studiesConnectivityTask
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 dynamicsLanguage 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
2015
Meditation leads to reduced default mode network activity beyond an active task
Garrison KA, Zeffiro TA, Scheinost D, Constable RT, Brewer JA. Meditation leads to reduced default mode network activity beyond an active task. Cognitive, Affective, & Behavioral Neuroscience 2015, 15: 712-720. PMID: 25904238, PMCID: PMC4529365, DOI: 10.3758/s13415-015-0358-3.Peer-Reviewed Original ResearchConceptsDefault mode networkDefault mode network activityBrain activation patternsDefault mode processingActive cognitive taskMode networkCognitive tasksActive tasksActivation patternsSelf-related thinkingDefault-mode activityPosterior cingulate/precuneusLong-term meditationAnterior cingulate cortexPrevious imaging studiesEffortful taskCentral neural processesNeural processesTask interactionBrain networksCingulate cortexNetwork activityMeditationReduced activation
2014
Sex differences in normal age trajectories of functional brain networks
Scheinost D, Finn ES, Tokoglu F, Shen X, Papademetris X, Hampson M, Constable RT. Sex differences in normal age trajectories of functional brain networks. Human Brain Mapping 2014, 36: 1524-1535. PMID: 25523617, PMCID: PMC5522589, DOI: 10.1002/hbm.22720.Peer-Reviewed Original ResearchAltered functional connectivity in seizure onset zones revealed by fMRI intrinsic connectivity
Lee HW, Arora J, Papademetris X, Tokoglu F, Negishi M, Scheinost D, Farooque P, Blumenfeld H, Spencer DD, Constable RT. Altered functional connectivity in seizure onset zones revealed by fMRI intrinsic connectivity. Neurology 2014, 83: 2269-2277. PMID: 25391304, PMCID: PMC4277677, DOI: 10.1212/wnl.0000000000001068.Peer-Reviewed Original ResearchConceptsSeizure onset zoneIntrinsic connectivity contrastTemporal lobe epilepsyLobe epilepsySurgical outcomesOnset zoneExtratemporal lobe epilepsyIntractable partial epilepsyGood surgical outcomeAltered functional connectivityFunctional connectivity changesResting-state fMRIGlobal network changesEpileptic hemisphereClinical factorsPartial epilepsyEpileptogenic networksEpileptogenic zoneSeizure localizationFocal epilepsyIntracranial EEG recordingsTLE groupIndependent reviewersConnectivity abnormalitiesPatientsCoupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data
Scheinost D, Shen X, Finn E, Sinha R, Constable RT, Papademetris X. Coupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data. PLOS ONE 2014, 9: e93544. PMID: 24676034, PMCID: PMC3968179, DOI: 10.1371/journal.pone.0093544.Peer-Reviewed Original ResearchConceptsHealthy controlsIntrinsic connectivity distributionCocaine-dependent subjectsResting-state scansSeed-based analysisConnectivity analysisSimilar brain regionsBasic neuroscience researchMagnetic resonance imaging dataPsychiatric diseasesVoxel-based resultsConnectivity differencesBrain regionsClinical toolFunctional changesFunctional magnetic resonance imaging (fMRI) dataScansVoxel-based methodConnectivity approachNeuroscience researchConnectivity dataCerebral Lateralization is Protective in the Very Prematurely Born
Scheinost D, Lacadie C, Vohr BR, Schneider KC, Papademetris X, Constable RT, Ment LR. Cerebral Lateralization is Protective in the Very Prematurely Born. Cerebral Cortex 2014, 25: 1858-1866. PMID: 24451659, PMCID: PMC4459290, DOI: 10.1093/cercor/bht430.Peer-Reviewed Original ResearchConceptsVery preterm participantsPreterm participantsCerebral lateralizationFunctional connectivityPreterm birth altersSevere brain injuryPreterm brainBrain injuryBirth altersTemporal lobeTerm controlsVoxel-based measureDevelopmental delayRight hemisphere lateralizationTerm participantsLateralizationYoung adulthoodSignificant decreaseCerebral asymmetryFurther studiesHemisphere lateralizationLanguage scoresBrainParticipantsAlterations