2024
315-OR: Task-Induced Alterations in the Salience Network amongst Patients with Type 1 Diabetes
SANCHEZ RANGEL E, BELFORT-DEAGUIAR R, LACADIE C, CHUNG T, SCHEINOST D, MASON G, HWANG J. 315-OR: Task-Induced Alterations in the Salience Network amongst Patients with Type 1 Diabetes. Diabetes 2024, 73 DOI: 10.2337/db24-315-or.Peer-Reviewed Original ResearchSalience networkFunctional connectivityCognitive tasksBrain responsesType 1 diabetesBrain functional connectivityResting stateMild hypoglycemiaWorking memoryBrain regionsSalienceContinuous performanceRewardBrainCounterregulatory hormonesStandard preprocessingTaskIndividual traitsMemoryPatientsHypoglycemiaT1DGradCPTStimuliAttentionMapping Early Brain–Body Interactions: Associations of Fetal Heart Rate Variation with Newborn Brainstem, Hypothalamic, and Dorsal Anterior Cingulate Cortex Functional Connectivity
Pollatou A, Holland C, Stockton T, Peterson B, Scheinost D, Monk C, Spann M. Mapping Early Brain–Body Interactions: Associations of Fetal Heart Rate Variation with Newborn Brainstem, Hypothalamic, and Dorsal Anterior Cingulate Cortex Functional Connectivity. Journal Of Neuroscience 2024, 44: e2363232024. PMID: 38604780, PMCID: PMC11140686, DOI: 10.1523/jneurosci.2363-23.2024.Peer-Reviewed Original ResearchFetal heart rate indicesDorsal anterior cingulate cortexAutonomic nervous systemDorsal anterior cingulate cortex functional connectivityFetal HRHeart rate variabilityBrain regionsFetal heart rate variationWeeks of postmenstrual ageAutonomic nervous system developmentFetal autonomic nervous systemFetal heart rate variabilityAutonomic regulationHeart rate indicesFetal heart rateNervous systemFunctional connectivityHeart rateAnterior cingulate cortex functional connectivityAnterior cingulate cortexChildren's language abilitiesFetal actocardiographInfant brainstemPostmenstrual ageWeeks gestation
2021
Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
Scheinost D, Dadashkarimi J, Finn ES, Wambach CG, MacGillivray C, Roule AL, Niendam TA, Pine DS, Brotman MA, Leibenluft E, Tseng WL. Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth. Neuropsychopharmacology 2021, 46: 1300-1306. PMID: 33479511, PMCID: PMC8134471, DOI: 10.1038/s41386-020-00954-8.Peer-Reviewed Original ResearchConceptsFunctional connectivityAttention-deficit/hyperactivity disorderCognitive flexibility taskDisruptive mood dysregulation disorderAffective Reactivity IndexLevels of irritabilityPreliminary fMRI studyCognitive flexibilityFlexibility taskIndividual differencesTransdiagnostic sampleFrontal networkFMRI studyHyperactivity disorderTask difficultyNeural mechanismsParent reportAnxiety symptomsSalience networkAnxiety disordersFrustrative nonrewardDimensional measuresPreliminary evidenceReactivity indexChild psychiatry
2020
Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders
Barron DS, Gao S, Dadashkarimi J, Greene AS, Spann MN, Noble S, Lake EMR, Krystal JH, Constable RT, Scheinost D. Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders. Cerebral Cortex 2020, 31: 2523-2533. PMID: 33345271, PMCID: PMC8023861, DOI: 10.1093/cercor/bhaa371.Peer-Reviewed Original ResearchConceptsMacroscale brain networksIndividual differencesBrain networksMemory deficitsFunctional connectivityAttention deficit hyper-activity disorderTask-based functional MRI dataLong-term memoryWhole-brain functional connectivityDiagnostic groupsWhole-brain patternsDefault mode networkFunctional MRI dataHuman Connectome ProjectPsychiatric disordersMemory constructsMemory performanceTransdiagnostic sampleBrain correlatesMode networkFunctional connectomeConnectome ProjectLimbic networkHealthy participantsMemoryBehavioral and brain signatures of substance use vulnerability in childhood
Rapuano KM, Rosenberg MD, Maza MT, Dennis NJ, Dorji M, Greene AS, Horien C, Scheinost D, Constable R, Casey BJ. Behavioral and brain signatures of substance use vulnerability in childhood. Developmental Cognitive Neuroscience 2020, 46: 100878. PMID: 33181393, PMCID: PMC7662869, DOI: 10.1016/j.dcn.2020.100878.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingSubstance useFunctional connectivityCognitive Development StudyFuture substance useSubstance use vulnerabilityAdolescent substance useSubstance use increasesSubstance use outcomesIndividual differencesAdolescent brainBrain signaturesTask conditionsBehavioral measuresFamilial risk factorsUse outcomesRisky behaviorsLatent dimensionsFamilial factorsBrain modelCurrent studyWeak predictorDevelopment studiesEarly susceptibilityFunctional imagingAssociation 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 recruitmentMagnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study
Netto JMB, Scheinost D, Onofrey JA, Franco I. Magnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study. Journal Of Pediatric Urology 2020, 16: 536-542. PMID: 32873504, DOI: 10.1016/j.jpurol.2020.08.002.Peer-Reviewed Original ResearchConceptsDorsal lateral prefrontal cortexAnterior cingulate cortexOveractive bladderFunctional connectivityPrefrontal cortexUrinary tract symptomsSacral nerve stimulatorCommon treatment modalityRight scapular regionACC functional connectivityResting-state conditionsMechanism of actionTract symptomsMotor thresholdCentral effectsACC connectivityNerve stimulatorSacral levelTreatment modalitiesFunctional connectivity dataMechanism of effectivenessAdult volunteersFrontal lobeSubcortical regionsCingulate cortexHow 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 ResearchIdentification of a brain fingerprint for overweight and obesity
Farruggia MC, van Kooten MJ, Perszyk EE, Burke MV, Scheinost D, Constable RT, Small DM. Identification of a brain fingerprint for overweight and obesity. Physiology & Behavior 2020, 222: 112940. PMID: 32417645, PMCID: PMC7321926, DOI: 10.1016/j.physbeh.2020.112940.Peer-Reviewed Original ResearchConceptsPercent body fatWaist circumferenceBody fatWhole-brain functional connectivityBrain network patternsGlucose toleranceBlood insulinObesityOverweightPathophysiological phenotypesFunctional connectivity networksFunctional connectivityMilkshake consumptionBrain correlatesBrain fingerprintsBMIAdiposityBrainCircumferenceConnectivity networksFatDiabetesPathophysiologyCentral roleInsulinAssociations between different dimensions of prenatal distress, neonatal hippocampal connectivity, and infant memory
Scheinost D, Spann MN, McDonough L, Peterson BS, Monk C. Associations between different dimensions of prenatal distress, neonatal hippocampal connectivity, and infant memory. Neuropsychopharmacology 2020, 45: 1272-1279. PMID: 32305039, PMCID: PMC7297970, DOI: 10.1038/s41386-020-0677-0.Peer-Reviewed Original ResearchConceptsPrenatal maternal distressInfant memoryMaternal distressCortex connectivityPrenatal distressHippocampal connectivityFunctional connectivityNegative psychological statesMeasures of distressHippocampal functional connectivityDifferent dimensionsPregnant adolescentsHippocampal seedsPsychological stateMemory abilityReinforcement taskResting-state imaging dataInfant brainDistressUnique effectsMemoryMultiple dimensionsAdolescentsWeeks post-menstrual agePost-menstrual ageConnectome-based neurofeedback: A pilot study to improve sustained attention
Scheinost D, Hsu TW, Avery EW, Hampson M, Constable RT, Chun MM, Rosenberg MD. Connectome-based neurofeedback: A pilot study to improve sustained attention. NeuroImage 2020, 212: 116684. PMID: 32114151, PMCID: PMC7165055, DOI: 10.1016/j.neuroimage.2020.116684.Peer-Reviewed Original ResearchConceptsFunctional connectivityRt-fMRIReal-time functional magnetic resonance imaging (rt-fMRI) neurofeedbackWhole-brain functional connectivityClinical trial designFunctional magnetic resonance imaging (fMRI) neurofeedbackDistinct brain areasConnectome-based modelsClinical symptomsTrial designBrain areasBrain regionsSustained attentionTherapeutic toolPilot studyBrain activityFunctional connectionsSymptomsNeurofeedbackFunctional networksTraining durationAttention taskComplex functional networksPilot sampleFunctional 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 changesPersonsPeopleDifferencesAbilityDistributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals
Avery EW, Yoo K, Rosenberg MD, Greene AS, Gao S, Na DL, Scheinost D, Constable TR, Chun MM. Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. Journal Of Cognitive Neuroscience 2020, 32: 241-255. PMID: 31659926, PMCID: PMC8004893, DOI: 10.1162/jocn_a_01487.Peer-Reviewed Original ResearchConceptsFunctional connectivity patternsFluid intelligenceMemory performanceIndividual differencesAttention modelConnectome-based predictive modelingConnectome-based predictive modelsWhole-brain functional connectivity patternsGeneral cognitive abilitySuch individual differencesConnectivity patternsAdult life spanHuman Connectome ProjectHuman Connectome Project dataMemory relateCognitive abilitiesNeural basisSustained attentionMemory scoresParietal regionsFunctional connectivityConnectome ProjectMemory modelOlder adultsMemory
2019
There is no single functional atlas even for a single individual: Functional parcel definitions change with task
Salehi M, Greene AS, Karbasi A, Shen X, Scheinost D, Constable RT. There is no single functional atlas even for a single individual: Functional parcel definitions change with task. NeuroImage 2019, 208: 116366. PMID: 31740342, DOI: 10.1016/j.neuroimage.2019.116366.Peer-Reviewed Original ResearchThe Application of Connectome-Based Predictive Modeling to the Maternal Brain: Implications for Mother–Infant Bonding
Rutherford HJV, Potenza MN, Mayes LC, Scheinost D. The Application of Connectome-Based Predictive Modeling to the Maternal Brain: Implications for Mother–Infant Bonding. Cerebral Cortex 2019, 30: 1538-1547. PMID: 31690936, PMCID: PMC7132918, DOI: 10.1093/cercor/bhz185.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingAuditory networkMaternal anxietyMaternal bondingContext of anxietyMaternal Brain NetworkMother-infant bondBrain functional connectivityChild developmentMother-infant bondingBrain networksFunctional connectivityAnxietyBehavioral qualitiesBonding relationshipsBonding impairmentBrain structuresMaternal brainMother's mindGreater segregationNetwork connectivityMindGreater integrationConnectivityMonths postpartumDifferential 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 ResearchConceptsIntraclass 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 dataStudyAn 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 datasetsMultivariate 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 approachLower synaptic density is associated with depression severity and network alterations
Holmes SE, Scheinost D, Finnema SJ, Naganawa M, Davis MT, DellaGioia N, Nabulsi N, Matuskey D, Angarita GA, Pietrzak RH, Duman RS, Sanacora G, Krystal JH, Carson RE, Esterlis I. Lower synaptic density is associated with depression severity and network alterations. Nature Communications 2019, 10: 1529. PMID: 30948709, PMCID: PMC6449365, DOI: 10.1038/s41467-019-09562-7.Peer-Reviewed Original ResearchConceptsMajor depressive disorderPost-traumatic stress disorderLower synaptic densitySynaptic densityPositron emission tomographyFunctional connectivityNetwork alterationsSynaptic vesicle glycoprotein 2ASymptoms of depressionSynaptic lossDepressive disorderHealthy controlsNerve terminalsDepressive symptomsDepression severityUnmedicated individualsSynaptic connectionsEmission tomographyStress disorderVivo evidenceSymptomsDepressionSeverityDisordersAlterations