2024
Mapping the structure-function relationship along macroscale gradients in the human brain
Collins E, Chishti O, Obaid S, McGrath H, King A, Shen X, Arora J, Papademetris X, Constable R, Spencer D, Zaveri H. Mapping the structure-function relationship along macroscale gradients in the human brain. Nature Communications 2024, 15: 7063. PMID: 39152127, PMCID: PMC11329792, DOI: 10.1038/s41467-024-51395-6.Peer-Reviewed Original ResearchPathogenic variants in autism gene KATNAL2 cause hydrocephalus and disrupt neuronal connectivity by impairing ciliary microtubule dynamics
DeSpenza T, Singh A, Allington G, Zhao S, Lee J, Kiziltug E, Prina M, Desmet N, Dang H, Fields J, Nelson-Williams C, Zhang J, Mekbib K, Dennis E, Mehta N, Duy P, Shimelis H, Walsh L, Marlier A, Deniz E, Lake E, Constable R, Hoffman E, Lifton R, Gulledge A, Fiering S, Moreno-De-Luca A, Haider S, Alper S, Jin S, Kahle K, Luikart B. Pathogenic variants in autism gene KATNAL2 cause hydrocephalus and disrupt neuronal connectivity by impairing ciliary microtubule dynamics. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2314702121. PMID: 38916997, PMCID: PMC11228466, DOI: 10.1073/pnas.2314702121.Peer-Reviewed Original ResearchConceptsCongenital hydrocephalusCerebral ventriculomegalyPathogenic variantsPrefrontal pyramidal neuronsGenetic subsets of patientsDevelopment of ventriculomegalyRadial gliaSubsets of patientsHigh-frequency firingNeuronal connectivityHeterozygous germline variantsAutism spectrum disorderVentricular-subventricular zoneMicrotubule dynamicsImpaired spermatogenesisCSF shuntingExcitatory driveMicrotubule-severing ATPasePyramidal neuronsDisrupt neuronal connectivityGermline variantsVentriculomegalyCSF homeostasisDisrupt microtubule dynamicsPlanar cell polarity
2023
Brain responses to nutrients are severely impaired and not reversed by weight loss in humans with obesity: a randomized crossover study
van Galen K, Schrantee A, ter Horst K, la Fleur S, Booij J, Constable R, Schwartz G, DiLeone R, Serlie M. Brain responses to nutrients are severely impaired and not reversed by weight loss in humans with obesity: a randomized crossover study. Nature Metabolism 2023, 5: 1059-1072. PMID: 37308722, DOI: 10.1038/s42255-023-00816-9.Peer-Reviewed Original ResearchConceptsDiet-induced weight lossCerebral neuronal activityStriatal dopamine releaseWeight lossCrossover studyDopamine releaseNeuronal activityIntragastric glucoseNeuronal responsesSuccessful weight lossHealthy body weightSignificant weight lossBrain responsesPathological feeding behaviorsWeight regainHunger scoresLipid infusionLean participantsCaloric intakePlasma hormonesObesityBody weightInfusionNutrient signalsHigh rateAssociation of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018
Kaltenhauser S, Weber C, Lin H, Mozayan A, Malhotra A, Constable R, Acosta J, Falcone G, Taylor S, Ment L, Sheth K, Payabvash S. Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018. JAMA Network Open 2023, 6: e2314193. PMID: 37200030, PMCID: PMC10196880, DOI: 10.1001/jamanetworkopen.2023.14193.Peer-Reviewed Original ResearchConceptsBody mass indexHigher body mass indexWaist circumferenceBMI z-scoreCross-sectional studyBrain healthCross-sectional analysisFunctional connectivityMass indexMean ageInterval developmentCorpus callosumAssociation of BMIHigher baseline body mass indexBaseline cross-sectional analysisBaseline body mass indexBrain integrityResting-state functional connectivityLongitudinal analysisFuture treatment trialsABCD studyLower microstructural integrityCognitive Development StudyAdolescent Brain Cognitive Development (ABCD) studyCardiovascular implications
2022
Sex differences in default mode network connectivity in healthy aging adults
Ficek-Tani B, Horien C, Ju S, Xu W, Li N, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in default mode network connectivity in healthy aging adults. Cerebral Cortex 2022, 33: 6139-6151. PMID: 36563018, PMCID: PMC10183749, DOI: 10.1093/cercor/bhac491.Peer-Reviewed Original ResearchConceptsDefault mode networkPreclinical Alzheimer's diseaseAlzheimer's diseaseSex differencesBrain connectivity changesDefault mode network connectivityIntrinsic connectivity distributionSeed-based analysisMode network connectivityMedial prefrontal cortexPosterior DMN nodesHealthy aging adultsImpact of sexLifetime riskDMN connectivityWhole brainPosterior cingulateDMN nodesSignificant sex differencesPrefrontal cortexConnectivity changesAging AdultsHealthy participantsDMN functionMode network
2020
Behavioral 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 imagingLoss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain
Makary MM, Polosecki P, Cecchi GA, DeAraujo IE, Barron DS, Constable TR, Whang PG, Thomas DA, Mowafi H, Small DM, Geha P. Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 10015-10023. PMID: 32312809, PMCID: PMC7211984, DOI: 10.1073/pnas.1918682117.Peer-Reviewed Original ResearchConceptsChronic low back pain patientsLow back pain patientsChronic painPain patientsChronic phaseChronic back pain patientsBack pain patientsRostral anterior cingulate cortexAnterior cingulate cortexAdditional independent datasetsRisk of transitionResting-state activityPersistent painBack painAccumbens volumeHealthy controlsNucleus accumbensPainSeparate cohortPatientsCingulate cortexPrevalent diseaseFunctional connectivityLoss of nucleiSubcortical signatures
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 1The individual functional connectome is unique and stable over months to years
Horien C, Shen X, Scheinost D, Constable RT. The individual functional connectome is unique and stable over months to years. NeuroImage 2019, 189: 676-687. PMID: 30721751, PMCID: PMC6422733, DOI: 10.1016/j.neuroimage.2019.02.002.Peer-Reviewed Original ResearchConceptsHigh ID ratesIndividual differencesFunctional connectomeIndividual functional connectomesStable individual differencesID rateResting-state fMRI datasetsFrontoparietal networkFunctional connectivityParietal cortexFMRI datasetsIdiosyncratic aspectsConnectomeHead motionEntire brainFMRIBrainCortexSpecific datasetDifferencesConnectivityMultisite reliability and repeatability of an advanced brain MRI protocol
Schwartz DL, Tagge I, Powers K, Ahn S, Bakshi R, Calabresi PA, Constable R, Grinstead J, Henry RG, Nair G, Papinutto N, Pelletier D, Shinohara R, Oh J, Reich DS, Sicotte NL, Rooney WD, Cooperative O. Multisite reliability and repeatability of an advanced brain MRI protocol. Journal Of Magnetic Resonance Imaging 2019, 50: 878-888. PMID: 30652391, PMCID: PMC6636359, DOI: 10.1002/jmri.26652.Peer-Reviewed Original Research
2018
Task-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 manipulationIntelligenceVariance
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 tasks
2016
Reorganization of brain connectivity in obesity
Geha P, Cecchi G, Constable R, Abdallah C, Small DM. Reorganization of brain connectivity in obesity. Human Brain Mapping 2016, 38: 1403-1420. PMID: 27859973, PMCID: PMC6866793, DOI: 10.1002/hbm.23462.Peer-Reviewed Original ResearchConceptsGlobal brain connectivityDorsal attention networkPeripheral metabolic dysfunctionHum Brain MappSuperior parietal lobuleSomatomotor cortexMetabolic dysfunctionVentrolateral prefrontal cortexPremotor areasCaudate nucleusNeurocognitive impairmentObesityAnterior hippocampusVisual cortexBrain regionsParietal lobuleBrain functionPrefrontal cortexBrain connectivityMilkshake consumptionCortexFeeding decisionsBrain organizationInsulaHomeostatic stateLanguage 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
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
2009
Pancreatic perfusion of healthy individuals and type 1 diabetic patients as assessed by magnetic resonance perfusion imaging
Hirshberg B, Qiu M, Cali AM, Sherwin R, Constable T, Calle RA, Tal MG. Pancreatic perfusion of healthy individuals and type 1 diabetic patients as assessed by magnetic resonance perfusion imaging. Diabetologia 2009, 52: 1561. PMID: 19488737, DOI: 10.1007/s00125-009-1406-8.Peer-Reviewed Original ResearchConceptsType 1 diabetic patientsPancreatic blood flowDiabetic patientsBlood flowIslet massHealthy volunteersPancreatic perfusionArterial spin labeling magnetic resonanceTotal pancreatic blood flowPancreatic beta-cell massConclusions/interpretationOur dataAims/hypothesisLossBeta-cell massMagnetic resonance perfusionSignificant differencesHuman pancreatic isletsDiabetes mellitusVascularised organsIslet functionMurine modelClamp studiesNormal volunteersHealthy individualsPatientsControl tissuesLanguage lateralization in epilepsy patients: fMRI validated with the Wada procedure
Arora J, Pugh K, Westerveld M, Spencer S, Spencer DD, Constable R. Language lateralization in epilepsy patients: fMRI validated with the Wada procedure. Epilepsia 2009, 50: 2225-2241. PMID: 19490042, DOI: 10.1111/j.1528-1167.2009.02136.x.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingVerbal fluency taskWada procedureSentence comprehensionFluency taskLaterality scoresLanguage lateralizationLaterality indexAuditory sentence comprehensionFMRI language mappingAuditory taskReading taskConjunction analysisHemispheric dominanceLateralization scoresFMRI laterality indicesLanguage mappingWada testingMidline regionWada testLateralizationSpecific patient examplesQuantifying activationTaskComprehension
2008
Additive effects of serotonin transporter and tryptophan hydroxylase-2 gene variation on neural correlates of affective processing
Canli T, Congdon E, Constable R, Lesch K. Additive effects of serotonin transporter and tryptophan hydroxylase-2 gene variation on neural correlates of affective processing. Biological Psychology 2008, 79: 118-125. PMID: 18314252, DOI: 10.1016/j.biopsycho.2008.01.004.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingEvent-related potentialsNeutral facial expressionsSpecific neural lociWord stimuliEmotional scenesAffective processingAffective stimuliEmotional stimuliVerbal stimuliNeural correlatesIndividual differencesNeural processingNeural locusBrain responsesFacial expressionsConvergent evidenceIndependent study samplesFMRI dataRobust effectCortical regionsStimuliTPH2 genotypeTryptophan hydroxylase 2 geneCurrent studyVASO‐based calculations of CBV change: Accounting for the dynamic CSF volume
Scouten A, Constable R. VASO‐based calculations of CBV change: Accounting for the dynamic CSF volume. Magnetic Resonance In Medicine 2008, 59: 308-315. PMID: 18228581, PMCID: PMC2737703, DOI: 10.1002/mrm.21427.Peer-Reviewed Original Research
2007
Applications and limitations of whole‐brain MAGIC VASO functional imaging
Scouten A, Constable R. Applications and limitations of whole‐brain MAGIC VASO functional imaging. Magnetic Resonance In Medicine 2007, 58: 306-315. PMID: 17654574, PMCID: PMC2673534, DOI: 10.1002/mrm.21273.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingCerebrospinal fluidBlood Oxygenation Level Dependent (BOLD) imagesAuditory stimulationWhole-brain functional magnetic resonance imagingActivation-induced decreaseCerebral blood volumeMagnetic resonance imagingSuperior temporal gyrusBlood volumeThree-compartment modelResonance imagingCSF contributionTemporal gyrusFunctional imagingVisual stimulation