2024
Cortical hubs of highly superior autobiographical memory
Orwig W, Diez I, Bueichekú E, Pedale T, Parente F, Campolongo P, Schacter D, Sepulcre J, Santangelo V. Cortical hubs of highly superior autobiographical memory. Cortex 2024, 179: 14-24. PMID: 39094240, DOI: 10.1016/j.cortex.2024.06.018.Peer-Reviewed Original ResearchConceptsSuperior autobiographical memoryAutobiographical memoryCortical hubsWhole-brain connectivity analysisPattern of increased connectivityResting-state fMRI dataWhole-brain analysisAutobiographical memory networkPosterior cingulate cortexMidline areaSeed-based analysisFunctional brain connectivityGraph theory analysisCingulate cortexNeural underpinningsNeuroimaging studiesEnhance memoryRemembering eventsBrain regionsControl participantsConnectivity analysisFMRI dataBrain connectivityCortical regionsWhole-brain
2021
A reachable probability approach for the analysis of spatio-temporal dynamics in the human functional network
Gao Q, Xiang Y, Zhang J, Luo N, Liang M, Gong L, Yu J, Cui Q, Sepulcre J, Chen H. A reachable probability approach for the analysis of spatio-temporal dynamics in the human functional network. NeuroImage 2021, 243: 118497. PMID: 34428571, DOI: 10.1016/j.neuroimage.2021.118497.Peer-Reviewed Original ResearchConceptsHuman brainBrain network systemsBrain functional systemsHierarchical functional organizationPrimary sensory cortexHuman functional networkMode networkMultisensory integration regionsPerceptual modalitiesMultisensory integrationSensory cortexNetwork systemAnalysis of spatio-temporal dynamicsFunctional networksTransition probabilitiesNeuronal circuitsDynamic architectureFunctional systemsFunctional organizationLocalize functional regionsDifferential patternConnectional organizationConnection structureProbability approachNetwork steady stateCompressed sensorimotor-to-transmodal hierarchical organization in schizophrenia
Dong D, Yao D, Wang Y, Hong S, Genon S, Xin F, Jung K, He H, Chang X, Duan M, Bernhardt B, Margulies D, Sepulcre J, Eickhoff S, Luo C. Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia. Psychological Medicine 2021, 53: 771-784. PMID: 34100349, DOI: 10.1017/s0033291721002129.Peer-Reviewed Original ResearchConceptsCognitive functionBottom-up sensory informationVentral attention regionsExecutive brain regionsExecutive control processesCharacteristics of schizophreniaFrontal-parietal regionsSensory processing deficitsResting-state fMRIImpaired sensory processingSomatosensory-motor systemHypo-connectivityConnectome gradientProcessing deficitsHierarchy organizationTransmodal networksFronto-parietalAttentional demandsBrain areasBrain regionsSchizophreniaMacroscale hierarchySensorimotor regionsHyper-connectivityAffective integrationNetwork interdigitations of Tau and amyloid‐beta deposits define cognitive levels in aging
Kim C, Montal V, Diez I, Orwig W, Initiative A, Sepulcre J. Network interdigitations of Tau and amyloid‐beta deposits define cognitive levels in aging. Human Brain Mapping 2021, 42: 2990-3004. PMID: 33955621, PMCID: PMC8193537, DOI: 10.1002/hbm.25350.Peer-Reviewed Original ResearchConceptsCognitively normal older adultsAmyloid-betaPathological hallmarks of Alzheimer's diseaseHallmarks of Alzheimer's diseaseTau depositionPositron emission tomographyGeneral cognitive impairmentTau neurofibrillary tanglesAlzheimer's diseaseNormal older adultsOlder adultsAmyloid-beta depositionCognitive test scoresTau pathogenesisAD vulnerable areasNeurofibrillary tanglesHeteromodal areasTau accumulationCognitive changesCognitive deteriorationCognitive impairmentCognitive declinePathological hallmarkPreclinical ADCognitive levelLongitudinal predictive modeling of tau progression along the structural connectome
Yang F, Chowdhury S, Jacobs H, Sepulcre J, Wedeen V, Johnson K, Dutta J. Longitudinal predictive modeling of tau progression along the structural connectome. NeuroImage 2021, 237: 118126. PMID: 33957234, PMCID: PMC8260445, DOI: 10.1016/j.neuroimage.2021.118126.Peer-Reviewed Original ResearchConceptsHarvard Aging Brain StudyTau progressionDiffusion tensor imagingLongitudinal predictive modelsAlzheimer's Disease Neuroimaging InitiativeAlzheimer's diseaseTau PET scansPositron emission tomographyLongitudinal positron emission tomographyTau neurofibrillary tanglesAging Brain StudyTau measuresNeurofibrillary tanglesTau transmissionStructural connectivity mapsPET scansCognitive declineBrain studiesPhysiological processesTensor imagingTauStructural connectomeGoodness of model fitClosed-form solutionPrediction framework
2019
Neurofilament-lysosomal genetic intersections in the cortical network of stuttering
Benito-Aragón C, Gonzalez-Sarmiento R, Liddell T, Diez I, d'Oleire Uquillas F, Ortiz-Terán L, Bueichekú E, Chow H, Chang S, Sepulcre J. Neurofilament-lysosomal genetic intersections in the cortical network of stuttering. Progress In Neurobiology 2019, 184: 101718. PMID: 31669185, PMCID: PMC6938554, DOI: 10.1016/j.pneurobio.2019.101718.Peer-Reviewed Original ResearchConceptsCytoskeleton organizationNeurofilament genesCortical networksGenetic expression levelsMannose-6-phosphateGenetic interactomesInteractome networkTranscriptome dataLarge-scale cortical networksLysosomal pathwayAllen Human Brain AtlasPresence of stutteringGenetic intersectionFunctional connectivity MRIBiological functionsNeuronal circuitsSpatial similarity analysisGenesHuman Brain AtlasTarget pathwaysFunctional linkInteractomeNeurobiological underpinningsCo-localizationLysosomal dysfunctionMulti-Modal Signatures of Tau Pathology, Neuronal Fiber Integrity, and Functional Connectivity in Traumatic Brain Injury
Wooten D, Ortiz-Terán L, Zubcevik N, Zhang X, Huang C, Sepulcre J, Atassi N, Johnson K, Zafonte R, Fakhri G. Multi-Modal Signatures of Tau Pathology, Neuronal Fiber Integrity, and Functional Connectivity in Traumatic Brain Injury. Journal Of Neurotrauma 2019, 36: 3233-3243. PMID: 31210098, PMCID: PMC6857466, DOI: 10.1089/neu.2018.6178.Peer-Reviewed Original ResearchConceptsTraumatic brain injuryTraumatic brain injury subjectsDistribution volume ratioWhite matter integrityFunctional connectivityDiffusion tensor imagingPositron emission tomographyTBI subjectsResting-state functional magnetic resonance imagingResting state functional connectivityFunctional magnetic resonance imagingFractional anisotropyDecreased white matter integrityGroup of TBI subjectsIncreased functional connectivityFunctional MRI resultsGraph theory metricsBrain injuryLiving human brainMagnetic resonance imagingNoninvasive neuroimaging techniquesBrain regionsFunctional MRINeuroimaging techniquesDiffusion tractography imagingStepwise functional connectivity reveals altered sensory‐multimodal integration in medication‐naïve adults with attention deficit hyperactivity disorder
Pretus C, Marcos‐Vidal L, Martínez‐García M, Picado M, Ramos‐Quiroga J, Richarte V, Castellanos F, Sepulcre J, Desco M, Vilarroya Ó, Carmona S. Stepwise functional connectivity reveals altered sensory‐multimodal integration in medication‐naïve adults with attention deficit hyperactivity disorder. Human Brain Mapping 2019, 40: 4645-4656. PMID: 31322305, PMCID: PMC6865796, DOI: 10.1002/hbm.24727.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderFunctional connectivitySensory regionsNeural hubCognitive functionResting-state functional magnetic resonance imagingAttention deficit hyperactivity disorderFunctional magnetic resonance imagingSeed regionPatterns of functional connectivityDefault-mode networkDeficit hyperactivity disorderFunctional networksPrimary sensory regionsFunctional overconnectivityAttention-deficit/hyperactivityNeuroimaging studiesMode networkHyperactivity disorderLow connectivity degreeRs-fMRIPattern of alterationsSeverity ScaleSensory inputMagnetic resonance imaging
2018
Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain
Diez I, Sepulcre J. Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain. Nature Communications 2018, 9: 3876. PMID: 30250030, PMCID: PMC6155203, DOI: 10.1038/s41467-018-06346-3.Peer-Reviewed Original ResearchConceptsWhole-brain functional connectivityCognitive statesDepression-related genesDynamic connectivity patternsLong-term potentiationResting stateSynaptic long-term potentiationNeurobiological basisGraph theory-based analysisHeteromodal cortexFunctional connectivityPrimary sensory areasNeural activityAttention areasConnectivity patternsConnectivity dynamicsHuman brainSensory areasGenetic transcription levelsDMNTheory-based analysisDynamic connectivityDynamic streamsLocal networkTaskAdaptation of brain functional stream architecture in athletes with fast demands of sensorimotor integration
Gao Q, Yu Y, Su X, Tao Z, Zhang M, Wang Y, Leng J, Sepulcre J, Chen H. Adaptation of brain functional stream architecture in athletes with fast demands of sensorimotor integration. Human Brain Mapping 2018, 40: 420-431. PMID: 30277624, PMCID: PMC6865555, DOI: 10.1002/hbm.24382.Peer-Reviewed Original ResearchConceptsDorsal attention networkSkills trainingAttention Network TestGray matter volumeVoxel-based morphometryTraining-induced neuroplasticityStudent-athletesReaction timeOrienting attentionRight sensorimotor areaMatter volumeNeuroplastic adaptationsNetwork TestMotor skill trainingConnectivity changesLimbic lobeAttention subnetworkDMNSeed regionAttention networkSensorimotor areasHuman brainNeuronal circuitsConnection distanceConnectivity streams
2017
Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease
Yang J, Hu C, Guo N, Dutta J, Vaina L, Johnson K, Sepulcre J, Fakhri G, Li Q. Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease. Scientific Reports 2017, 7: 13035. PMID: 29026139, PMCID: PMC5638902, DOI: 10.1038/s41598-017-13339-7.Peer-Reviewed Original ResearchConceptsQuantitative accuracy of PET imagesSpatial resolution of PET scannersAccuracy of PET imagesPET scannerBrain networksPET imagingQuantitative accuracyPartial volume effectsClassification performanceImage registrationPositron emission tomography quantificationPartial volume correctionSpatial resolutionJoint entropyVolume correctionNetwork structure analysisCorrected imagesVolume effectClinical datasetsParameter settingsPositron emission tomographyClassification testsCompare network propertiesNoise sensitivityBrain circuit–gene expression relationships and neuroplasticity of multisensory cortices in blind children
Ortiz-Terán L, Diez I, Ortiz T, Perez D, Aragón J, Costumero V, Pascual-Leone A, Fakhri G, Sepulcre J. Brain circuit–gene expression relationships and neuroplasticity of multisensory cortices in blind children. Proceedings Of The National Academy Of Sciences Of The United States Of America 2017, 114: 6830-6835. PMID: 28607055, PMCID: PMC5495230, DOI: 10.1073/pnas.1619121114.Peer-Reviewed Original ResearchConceptsBlind childrenFunctional connectivity analysisMultisensory integration areasSensory deprivationFunctional connectivity relationshipsProtein gene familyNetwork connectivity profilesPrimary sensory cortexSystems-level analysisNeuroplastic adaptationsMultisensory cortexFunctional connectivityConnectivity analysisHuman neuroplasticityConnectivity changesGene expression profilesConnectivity profilesNeural reorganizationSensory cortexGene familySighted controlsHuman brainCortexBiological basisGenetic underpinningsFunctional network integrity presages cognitive decline in preclinical Alzheimer disease
Buckley R, Schultz A, Hedden T, Papp K, Hanseeuw B, Marshall G, Sepulcre J, Smith E, Rentz D, Johnson K, Sperling R, Chhatwal J. Functional network integrity presages cognitive decline in preclinical Alzheimer disease. Neurology 2017, 89: 29-37. PMID: 28592457, PMCID: PMC5496516, DOI: 10.1212/wnl.0000000000004059.Peer-Reviewed Original ResearchConceptsPreclinical Alzheimer Cognitive CompositePreclinical Alzheimer Cognitive Composite scoreClinically normal older adultsNormal older adultsPreclinical Alzheimer's diseaseRs-fcMRICognitive declineBaseline connectivityResting-state functional connectivity MRIControl networkAD-related cognitive declineMeasures of network integrationFunctional connectivity MRIAlzheimer's diseaseNeuropsychological follow-upControl network connectivityOlder adultsFunctional network integrationCompound B PETPittsburgh compound B PETPredictor of ratingsNetwork integrationDorsal attentionCognitive compositeYears of follow-upPhases of Hyperconnectivity and Hypoconnectivity in the Default Mode and Salience Networks Track with Amyloid and Tau in Clinically Normal Individuals
Schultz A, Chhatwal J, Hedden T, Mormino E, Hanseeuw B, Sepulcre J, Huijbers W, LaPoint M, Buckley R, Johnson K, Sperling R. Phases of Hyperconnectivity and Hypoconnectivity in the Default Mode and Salience Networks Track with Amyloid and Tau in Clinically Normal Individuals. Journal Of Neuroscience 2017, 37: 4323-4331. PMID: 28314821, PMCID: PMC5413178, DOI: 10.1523/jneurosci.3263-16.2017.Peer-Reviewed Original ResearchConceptsAlzheimer's diseaseFunctional connectivity MRITau neurofibrillary tanglesAssociated with <i>inTau-PETNeurofibrillary tanglesAmyloid pathologyCourse of preclinical ADTau levelsTau-PET signalTau PET tracersRegional tauTau PET imagingInferior temporalPreclinical ADMolecular pathologyTauReports of associationsAmyloid PET imagingCortical association networksInferior parietal cortexAmyloidAssociated with connectivityAssociation networksPreclinical Alzheimer's disease
2016
Measuring Cortical Connectivity in Alzheimer’s Disease as a Brain Neural Network Pathology: Toward Clinical Applications
Teipel S, Grothe M, Zhou J, Sepulcre J, Dyrba M, Sorg C, Babiloni C. Measuring Cortical Connectivity in Alzheimer’s Disease as a Brain Neural Network Pathology: Toward Clinical Applications. Journal Of The International Neuropsychological Society 2016, 22: 138-163. PMID: 26888613, DOI: 10.1017/s1355617715000995.Peer-Reviewed Original ResearchConceptsCortical connectivityMild cognitive impairmentClinical applicationFunctional cortical connectivityMagnetic resonance imagingWhite matter bundlesResting-state functional magnetic resonance imagingDiffusion tensor imagingBlood oxygen level-dependent activityPre-clinicalEEG rhythmsCerebral reserve capacityResonance imagingNetwork pathologyAttention-related networksIn vivoMild AD dementia patientsTensor imagingBrain circuitsCognitively intact elderly individualsConnectivity measuresElderly individualsPatientsAlzheimer's diseaseFunctional couplingAdvanced Neuroimaging Methods Towards Characterization of Early Stages of Alzheimer’s Disease
Sepulcre J, Masdeu J. Advanced Neuroimaging Methods Towards Characterization of Early Stages of Alzheimer’s Disease. Methods In Molecular Biology 2016, 1303: 509-519. PMID: 26235088, DOI: 10.1007/978-1-4939-2627-5_31.Peer-Reviewed Original ResearchConceptsBlood oxygen level-dependentFunctional magnetic resonance imagingAlzheimer's diseaseEarly stages of Alzheimer's diseaseOxygen level-dependentMagnetic resonance imagingStages of Alzheimer's diseaseNeurobiological changesStructural neuroimagingBrain networksBrain regionsBrains of patientsPostmortem studiesLevel-dependentNeurobiology of ADFunctional networksPostmortem dataBrainQuiet wakefulnessTau depositionResonance imagingTherapeutic interventionsNetwork propertiesNeurobiologyNeuroimaging
2015
Sensation‐to‐cognition cortical streams in attention‐deficit/hyperactivity disorder
Carmona S, Hoekzema E, Castellanos F, García-García D, Lage-Castellanos A, Van Dijk K, Navas-Sánchez F, Martínez K, Desco M, Sepulcre J. Sensation‐to‐cognition cortical streams in attention‐deficit/hyperactivity disorder. Human Brain Mapping 2015, 36: 2544-2557. PMID: 25821110, PMCID: PMC4484811, DOI: 10.1002/hbm.22790.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderAttention-deficit/hyperactivityCognitive circuitsConnectivity streamsResting-state functional magnetic resonance imaging dataFunctional magnetic resonance imaging dataExecutive processing areasFunctional connectivity differencesIncreased degree of connectivityLocal sensory processingMagnetic resonance imaging dataPrimary sensory cortexExecutive regionsConnectivity differencesDecreased connectivityFunctional connectivityExecution processSensory processingGraph theory methodsCortical streamSensory cortexProcessing areasPrimary cortexCortexInternal sources of information
2014
Default mode network subsystem alterations in obsessive–compulsive disorder
Beucke J, Sepulcre J, Eldaief M, Sebold M, Kathmann N, Kaufmann C. Default mode network subsystem alterations in obsessive–compulsive disorder. The British Journal Of Psychiatry 2014, 205: 376-382. PMID: 25257066, DOI: 10.1192/bjp.bp.113.137380.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderNeurobiological models of obsessive-compulsive disorderAssociated with self-referential processingModels of obsessive-compulsive disorderSeed-based resting-state functional connectivityObsessive-compulsive disorder groupHistory of affective disorderResting-state functional connectivityFunctional magnetic resonance imagingSelf-referential processingCorticostriatal brain regionsLife-time historyMode network componentsNeurobiological modelsAffective disordersBrain regionsFunctional connectivityReduced connectivityNeural systemsMedical statusAttention networkDisordered backgroundMagnetic resonance imagingDisordersNetwork integration
2013
An OP4 Functional Stream in the Language-Related Neuroarchitecture
Sepulcre J. An OP4 Functional Stream in the Language-Related Neuroarchitecture. Cerebral Cortex 2013, 25: 658-666. PMID: 24084124, DOI: 10.1093/cercor/bht256.Peer-Reviewed Original ResearchConceptsBroca's areaAuditory-motorLanguage-related cortexAuditory-motor integrationFunctional neuroarchitectureMotor productionAuditory inputBrocaHuman speechWernickeSustainability languageFunctional network analysisFunctional streamsMotor outputLanguage symbolsMotorCortexNeuroanatomyOperculumParietaleComprehensionBrainSpeechNeuroarchitectureLanguageFunctional Connectivity in Alzheimer’s Disease: Measurement and Meaning
Johnson K, Sperling R, Sepulcre J. Functional Connectivity in Alzheimer’s Disease: Measurement and Meaning. Biological Psychiatry 2013, 74: 318-319. PMID: 23932342, DOI: 10.1016/j.biopsych.2013.07.010.Peer-Reviewed Original Research