2022
Amyloid-β and tau pathologies relate to distinctive brain dysconnectomics in preclinical autosomal-dominant Alzheimer’s disease
Guzmán-Vélez E, Diez I, Schoemaker D, Pardilla-Delgado E, Vila-Castelar C, Fox-Fuller J, Baena A, Sperling R, Johnson K, Lopera F, Sepulcre J, Quiroz Y. Amyloid-β and tau pathologies relate to distinctive brain dysconnectomics in preclinical autosomal-dominant Alzheimer’s disease. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2113641119. PMID: 35380901, PMCID: PMC9169643, DOI: 10.1073/pnas.2113641119.Peer-Reviewed Original ResearchConceptsDefault-mode networkFunctional connectivitySalience networkRetrospenial cortexFunctional segregationPosterior default-mode networkAmyloid-bDefault-mode network regionsHigher-order cognitive functionsEarly-onset AD dementiaTau pathologyMedial prefrontal cortexAnterior cingulate cortexDisrupting neural communicationGraph-based network analysisBrain functional architectureMedial temporal regionsFunctional networksAlzheimer's diseaseBrain functional connectivityPreclinical Alzheimer's diseasePrefrontal cortexTau burdenCingulate cortexEpisodic memoryConnectomic-genetic signatures in the cerebral small vessel disease
Gutiérrez-Zúñiga R, Diez I, Bueichekú E, Kim C, Orwig W, Montal V, Fuentes B, Díez-Tejedor E, Fernández M, Sepulcre J. Connectomic-genetic signatures in the cerebral small vessel disease. Neurobiology Of Disease 2022, 167: 105671. PMID: 35231560, PMCID: PMC8957615, DOI: 10.1016/j.nbd.2022.105671.Peer-Reviewed Original Research
2021
Divergent connectomic organization delineates genetic evolutionary traits in the human brain
Bueichekú E, Gonzalez-de-Echavarri J, Ortiz-Teran L, Montal V, d’Oleire Uquillas F, De Marcos L, Orwig W, Kim C, Ortiz-Teran E, Basaia S, Diez I, Sepulcre J. Divergent connectomic organization delineates genetic evolutionary traits in the human brain. Scientific Reports 2021, 11: 19692. PMID: 34608211, PMCID: PMC8490416, DOI: 10.1038/s41598-021-99082-6.Peer-Reviewed Original ResearchConceptsEvolutionary traitsHomo sapiens lineageDN/dS ratiosPositive selectionCellular functionsEvolutionary pathwaysGene expressionGenetic expressionSapiens lineageBiological dataCo-localizationDivergent pathwaysFunctional specializationTraitsBiological qualityResting-state dataPathwayHuman brain functionSimian ancestorsExpressionConnectome organizationCognitive trajectoriesAncestorLineagesBrain functionA 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 integrationConnectivity adaptations in dopaminergic systems define the brain maturity of investors
Ortiz-Teran E, Diez I, Sepulcre J, Lopez-Pascual J, Ortiz T. Connectivity adaptations in dopaminergic systems define the brain maturity of investors. Scientific Reports 2021, 11: 11671. PMID: 34083626, PMCID: PMC8175592, DOI: 10.1038/s41598-021-91227-x.Peer-Reviewed Original ResearchConceptsSenior investorsGray matter volumeDopamine-related pathwaysInvestment decisionsStructural brain connectivityBodily stress responsesFinancial tradingReward processingDopaminergic systemInvestorsMatter volumeBrain connectivityBrain maturationAssociated with adrenalineBodily awarenessBrain anatomyWork experienceHuman brainInvestmentBrainNoradrenaline biosynthesisStress responseConnectivity adaptation
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 dysfunction
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
Spatiotemporal Network Markers of Individual Variability in the Human Functional Connectome
Peña-Gómez C, Avena-Koenigsberger A, Sepulcre J, Sporns O. Spatiotemporal Network Markers of Individual Variability in the Human Functional Connectome. Cerebral Cortex 2017, 28: 2922-2934. PMID: 28981611, PMCID: PMC6041986, DOI: 10.1093/cercor/bhx170.Peer-Reviewed Original ResearchFunctional 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
2013
Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification
Hu C, Cheng L, Sepulcre J, El Fakhri G, Lu Y, Li Q. Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification. Lecture Notes In Computer Science 2013, 23: 1-12. PMID: 24683953, DOI: 10.1007/978-3-642-38868-2_1.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAlzheimer DiseaseAniline CompoundsBenzothiazolesBrainBrain MappingConnectomeHumansImage EnhancementImage Interpretation, Computer-AssistedNerve NetNeural PathwaysPattern Recognition, AutomatedPositron-Emission TomographyReproducibility of ResultsSensitivity and SpecificityThiazolesTissue DistributionConceptsBrain network classificationNetwork classification problemWeighted energy detectorPrinciple component analysisSub-manifold structureTraditional principle component analysisSubspace detectionTraining dataEnergy detectorGraph structureProblem of Alzheimer's diseaseGraph LaplacianNetwork classificationNoise varianceLevel of smoothnessWeighted graphSignal detectionIntrinsic structureSignal modelGraphSubspaceIsing modelNoiseSignal variationsComponent analysis