2024
Data leakage inflates prediction performance in connectome-based machine learning models
Rosenblatt M, Tejavibulya L, Jiang R, Noble S, Scheinost D. Data leakage inflates prediction performance in connectome-based machine learning models. Nature Communications 2024, 15: 1829. PMID: 38418819, PMCID: PMC10901797, DOI: 10.1038/s41467-024-46150-w.Peer-Reviewed Original Research
2022
The Art, Science, and Secrets of Scanning Young Children
Spann M, Wisnowski J, Group H, Ahtam B, Gao W, Huang H, Nebel M, Norton E, Ouyang M, Rajagopalan V, Riggins T, Saygin Z, Scott L, Smyser C, Thomason M, Wakschlag L, Smyser C, Fetal I, Ahmad S, Aydin E, Barkovich A, Berger-Jenkins E, Brick J, Bowman L, Camacho M, Lugo-Candelas C, Cusack R, DuBois J, Dufford A, Elison J, Ellis C, Ferradal S, Filippi C, Ford A, Fouladivanda M, Gaab N, Gano D, Ganz-Benjaminsen M, Ghetti S, Glenn O, Gomez M, Graham A, Hendrix C, Holland C, Humphreys K, Korom M, Kosakowski H, Li G, Manessis A, Nolvi S, Pineda R, Pollatou A, Rae C, Rasmussen J, Scheinost D, Shultz S, Simon-Martinez C, Madsen K, Sung S, Sylvester C, Turesky T, Vaughn K, Wagner L, Wang L, Warton F, Wilson S, Wintermark P, Wu Y, Yap P, Yates T, Yen E, Yu X, Zhu H, Zöllei L, Howell B, Dean D. The Art, Science, and Secrets of Scanning Young Children. Biological Psychiatry 2022, 93: 858-860. PMID: 36336497, PMCID: PMC10050222, DOI: 10.1016/j.biopsych.2022.09.025.Peer-Reviewed Original ResearchHypoconnectivity 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 scoreA graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults
Goldman DA, Sankar A, Rich A, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults. Journal Of Affective Disorders 2022, 319: 15-26. PMID: 36103935, PMCID: PMC9669784, DOI: 10.1016/j.jad.2022.09.016.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBipolar DisorderBrainDepressive Disorder, MajorHumansMagnetic Resonance ImagingNeuroimagingYoung AdultConceptsAdolescents/young adultsMajor depressive disorderDepressive disorderYoung adultsICD increasesBipolar disorderInterhemispheric functional connectivityFunctional connectivity differencesSeed-based analysisFunctional connectivity patternsSeed-based connectivityFunctional magnetic resonanceFunctional connectivity measuresBasal gangliaFunctional dysconnectivityIllness progressionTreatment strategiesClinical measuresEarly diagnosisHC groupTargeted treatmentConnectivity differencesSuicide thoughtsFunctional connectivityDeleterious treatmentImproving power in functional magnetic resonance imaging by moving beyond cluster-level inference
Noble S, Mejia AF, Zalesky A, Scheinost D. Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2203020119. PMID: 35925887, PMCID: PMC9371642, DOI: 10.1073/pnas.2203020119.Peer-Reviewed Original ResearchA functional connectome signature of blood pressure in >30 000 participants from the UK biobank.
Jiang R, Calhoun VD, Noble S, Sui J, Liang Q, Qi S, Scheinost D. A functional connectome signature of blood pressure in >30 000 participants from the UK biobank. Cardiovascular Research 2022, 119: 1427-1440. PMID: 35875865, PMCID: PMC10262183, DOI: 10.1093/cvr/cvac116.Peer-Reviewed Original ResearchMeSH KeywordsBiological Specimen BanksBlood PressureBrainConnectomeHumansMagnetic Resonance ImagingUnited KingdomConceptsBlood pressureBP levelsSystolic/diastolic blood pressurePrevalent modifiable risk factorFunctional connectivityMeaningful blood pressureDiastolic blood pressureElevated blood pressureModifiable risk factorsBody mass indexWhole-brain functional connectivityCentral autonomic networkAnterior cingulate cortexAntihypertensive medicationsMass indexMultiple confoundersPulse pressureRisk factorsCardiovascular diseaseIrreversible structural damageMedicated participantsMedication statusCingulate cortexCognitive declineAlzheimer's diseaseA Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity
Jiang R, Scheinost D, Zuo N, Wu J, Qi S, Liang Q, Zhi D, Luo N, Chung Y, Liu S, Xu Y, Sui J, Calhoun V. A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity. Advanced Science 2022, 9: 2201621. PMID: 35811304, PMCID: PMC9403648, DOI: 10.1002/advs.202201621.Peer-Reviewed Original ResearchConceptsCognitive declineNormal agingFunctional connectivitySimilar neural correlatesWhole-brain functional connectivityDorsal attention networkBrain network organizationNeural dedifferentiationFluid intelligenceCognitive agingCognitive abilitiesNeural correlatesAttention networkCognitive functionNetwork organizationHuman ageNeuroimaging signaturesCognitionUnique patternAgingConnectivityIntelligenceCorrelatesConstructsHealthy cohortArousal impacts distributed hubs modulating the integration of brain functional connectivity
Lee K, Horien C, O’Connor D, Garand-Sheridan B, Tokoglu F, Scheinost D, Lake EMR, Constable RT. Arousal impacts distributed hubs modulating the integration of brain functional connectivity. NeuroImage 2022, 258: 119364. PMID: 35690257, PMCID: PMC9341222, DOI: 10.1016/j.neuroimage.2022.119364.Peer-Reviewed Original ResearchAge‐related topographic map of magnetic resonance diffusion metrics in neonatal brains
Bobba PS, Weber CF, Mak A, Mozayan A, Malhotra A, Sheth KN, Taylor SN, Vossough A, Grant PE, Scheinost D, Constable RT, Ment LR, Payabvash S. Age‐related topographic map of magnetic resonance diffusion metrics in neonatal brains. Human Brain Mapping 2022, 43: 4326-4334. PMID: 35599634, PMCID: PMC9435001, DOI: 10.1002/hbm.25956.Peer-Reviewed Original ResearchConceptsGestational ageCerebellar white matterWhite matterNeonatal brainDiffusion-weighted imagingCorpus callosumMD valuesCorpus callosum myelinationLower gestational ageTerm-equivalent ageSubcortical white matterFA/MDApparent diffusion coefficient (ADC) valuesMonths of ageDiffusion tensor imaging (DTI) metricsDiffusion metricsAge-related evolutionAge-related changesAge-specific normative valuesNeonatal ageBrain parenchymaCorticospinal tractNeonate brainDiffusivity metricsADC valuesA 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 modelConnectomeBrainMemoryFunctional Connectome–Based Predictive Modeling in Autism
Horien C, Floris DL, Greene AS, Noble S, Rolison M, Tejavibulya L, O'Connor D, McPartland JC, Scheinost D, Chawarska K, Lake EMR, Constable RT. Functional Connectome–Based Predictive Modeling in Autism. Biological Psychiatry 2022, 92: 626-642. PMID: 35690495, PMCID: PMC10948028, DOI: 10.1016/j.biopsych.2022.04.008.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAutism Spectrum DisorderAutistic DisorderBrainConnectomeForecastingHumansMagnetic Resonance ImagingMultimodal 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 ResearchMeSH KeywordsAlcoholismBrainBrain MappingGlutamic AcidHumansMagnetic Resonance ImagingNeuroimagingReceptor, Metabotropic Glutamate 5ConceptsMetabotropic 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(Un)common space in infant neuroimaging studies: A systematic review of infant templates
Dufford AJ, Hahn CA, Peterson H, Gini S, Mehta S, Alfano A, Scheinost D. (Un)common space in infant neuroimaging studies: A systematic review of infant templates. Human Brain Mapping 2022, 43: 3007-3016. PMID: 35261126, PMCID: PMC9120551, DOI: 10.1002/hbm.25816.Peer-Reviewed Original ResearchLarge-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity
Tejavibulya L, Peterson H, Greene A, Gao S, Rolison M, Noble S, Scheinost D. Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity. NeuroImage 2022, 252: 119040. PMID: 35272202, PMCID: PMC9013515, DOI: 10.1016/j.neuroimage.2022.119040.Peer-Reviewed Original ResearchConceptsHanded individualsFunctional connectivityLanguage areasWhole-brain functional connectivityRight-handed individualsFunctional organizationWhole-brain levelIndividual differencesHandedness differencesHandedness effectsFunctional connectomeBrain levelsSomatosensory cortexNetworks of interestWhole brainSex differencesBrainConnectomeIndividualsData-driven analysisConnectivityDistinct patternsLateralizationDifferencesSimilar amountsHigh-Risk Drinkers Engage Distinct Stress-Predictive Brain Networks
Goldfarb EV, Scheinost D, Fogelman N, Seo D, Sinha R. High-Risk Drinkers Engage Distinct Stress-Predictive Brain Networks. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2022, 7: 805-813. PMID: 35272096, PMCID: PMC9378362, DOI: 10.1016/j.bpsc.2022.02.010.Peer-Reviewed Original ResearchConceptsRisky drinkersHigh-risk drinkersBrain networksMajor public health problemExcessive alcohol intakeWhole-brain functional connectivityPublic health problemEarly preventive interventionsAlcohol use disorderDaily ecological momentary assessmentsAlcohol intakeControl subjectsRisky drinking behaviorsEmotional stress responsesUse disordersEarly markerHealth problemsPreventive interventionsBrain circuitryLight drinkersFunctional connectivityStress protocolHeavy drinkingDrinkersEcological momentary assessmentNeurofeedback-guided kinesthetic motor imagery training in Parkinson’s disease: Randomized trial
Tinaz S, Kamel S, Aravala SS, Elfil M, Bayoumi A, Patel A, Scheinost D, Sinha R, Hampson M. Neurofeedback-guided kinesthetic motor imagery training in Parkinson’s disease: Randomized trial. NeuroImage Clinical 2022, 34: 102980. PMID: 35247729, PMCID: PMC8897714, DOI: 10.1016/j.nicl.2022.102980.Peer-Reviewed Original ResearchMeSH KeywordsBrain MappingHumansImagery, PsychotherapyImaginationKinesthesisMagnetic Resonance ImagingNeurofeedbackParkinson DiseaseConceptsKinesthetic motor imageryMotor function scoresMild Parkinson's diseaseParkinson's diseaseFunctional connectivityFunction scoresMI trainingSecondary clinical outcomesClinical outcome measuresRandomized clinical trialsWhole-brain functional connectivityPost-training changeFunctional connectivity strengthMotor imageryMotor imagery trainingDorsomedial frontal cortexDistinct neural circuitsClinical outcomesImaging outcomesSubjective improvementClinical trialsMotor functionMotor examFrontal cortexOutcome measuresAn ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field
Pollatou A, Filippi CA, Aydin E, Vaughn K, Thompson D, Korom M, Dufford AJ, Howell B, Zöllei L, Di Martino A, Graham A, Group F, Scheinost D, Spann MN. An ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field. Developmental Cognitive Neuroscience 2022, 54: 101083. PMID: 35184026, PMCID: PMC8861425, DOI: 10.1016/j.dcn.2022.101083.Peer-Reviewed Original ResearchBrainChild, PreschoolFemaleHumansInfantLongitudinal StudiesMagnetic Resonance ImagingNeuroimagingPregnancyPrenatal CareGraph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder
Sankar A, Scheinost D, Goldman DA, Drachman R, Colic L, Villa LM, Kim JA, Gonzalez Y, Marcelo I, Shinomiya M, Pittman B, Lacadie CM, Oquendo MA, Constable RT, Blumberg HP. Graph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder. Translational Psychiatry 2022, 12: 7. PMID: 35013103, PMCID: PMC8748935, DOI: 10.1038/s41398-021-01767-z.Peer-Reviewed Original ResearchMeSH KeywordsAdultBipolar DisorderBrainHumansMagnetic Resonance ImagingPrefrontal CortexSuicide, AttemptedConceptsIntrinsic connectivity distributionBipolar disorderSuicide attemptsHealthy volunteersFunctional connectivity disturbancesSuicide behaviorWhole-brain functional connectivityPrior suicide attemptsRight anterior insulaBrain functional connectivitySuicidal ideation severityBilateral ventromedial prefrontal cortexFunctional magnetic resonanceSignificant group differencesTemporopolar cortexConnectivity disturbancesBrain targetsFC differencesHigh riskCerebellar cortexVentromedial prefrontal cortexSuicidal ideationOrbitofrontal cortexFunctional connectivitySuicide risk
2021
Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies
Korom M, Camacho MC, Filippi CA, Licandro R, Moore LA, Dufford A, Zöllei L, Graham AM, Spann M, Howell B, FIT’NG, Shultz S, Scheinost D. Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies. Developmental Cognitive Neuroscience 2021, 53: 101055. PMID: 34974250, PMCID: PMC8733260, DOI: 10.1016/j.dcn.2021.101055.Peer-Reviewed Original ResearchFunctional Connectivity for the Language Network in the Developing Brain: 30 Weeks of Gestation to 30 Months of Age
Scheinost D, Chang J, Lacadie C, Brennan-Wydra E, Constable RT, Chawarska K, Ment LR. Functional Connectivity for the Language Network in the Developing Brain: 30 Weeks of Gestation to 30 Months of Age. Cerebral Cortex 2021, 32: 3289-3301. PMID: 34875024, PMCID: PMC9340393, DOI: 10.1093/cercor/bhab415.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingCross-Sectional StudiesFemaleHumansInfant, NewbornLanguageMagnetic Resonance ImagingPregnancyConceptsWeeks of gestationFirst postnatal monthMonths of agePostnatal monthFunctional connectivityWernicke's areaWeeks postmenstrual ageLanguage networkResting-state fMRI dataPostmenstrual ageFetal onsetInterhemispheric connectionsIntrahemispheric connectionsPrimary analysisOlder infantsNeurobehavioral disordersSecondary analysisGestationCross-sectional dataMonthsBrocaUnique participantsWeeksSignificant increaseFunctional connections