Jorge Sepulcre, MD, PhD
Associate Professor of Radiology and Biomedical ImagingCards
About
Research
Publications
2026
Cerebellar aging is spatially heterogeneous and supports cognitive resilience in later life
d’Oleire Uquillas F, Sefik E, Seidlitz J, Daniel Hertz E, Romero-Garcia R, Warrier V, Bethlehem R, Alexander-Bloch A, Cohen J, Wang S, Sepulcre J, Vannini P, Gomez J. Cerebellar aging is spatially heterogeneous and supports cognitive resilience in later life. Nature Neuroscience 2026, 1-12. PMID: 42271047, DOI: 10.1038/s41593-026-02289-x.Peer-Reviewed Original ResearchCerebellar volumeT1-weighted/T2-weighted ratioCerebellar agingBrain imaging studiesHealthy cognitive agingMotor-related regionsAssociated with higher cognitive scoresCognitive agingBrain reserveHigher cognitive scoresCognitive resilienceCognitive scoresCerebellar structuresCognitionQuantitative magnetic resonance imagingCerebellumAmyloid burdenRisk genesMagnetic resonance imagingBrainAlzheimer's diseaseImaging studiesPatterns of agingBrain neuronsResonance imagingCorticostriatal connectivity in monozygotic twin pairs discordant for obsessive-compulsive disorder.
Beucke J, May L, Diez I, Franke J, Kaufmann C, Pol-Fuster J, de la Cruz L, de Schipper E, Brander G, Remnélius K, Neufeld J, Fransson P, Sepulcre J, Van den Heuvel O, Bölte S, Mataix-Cols D. Corticostriatal connectivity in monozygotic twin pairs discordant for obsessive-compulsive disorder. Brain 2026 PMID: 42266157, DOI: 10.1093/brain/awag198.Peer-Reviewed Original ResearchCortico-striatal-thalamo-corticalObsessive-compulsive disorderMonozygotic twin pairsFamilial vulnerabilityTwin pairsNon-shared environmental influencesSample of monozygotic twin pairsResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingMedial orbitofrontal cortexEnvironmental influencesOrbitofrontal cortexCorticostriatal connectivityOCD diagnosisHeightened connectivityBrain circuitsFunctional connectivityControl twinsChronic stressNon-sharedAssociated with disturbancesVulnerability effectCo-TwinFamily factorsTraditional case-control studyTowards a general-purpose foundation model for functional MRI analysis
Wang C, Jiang Y, Peng Z, Li C, Bang C, Zhao L, Fu W, Lv J, Sepulcre J, Yang C, He L, Liu T, Kong X, Li Q, Barron D, Qiu A, Hirschtick R, Kim B, Han H, Li X, Yuan Y. Towards a general-purpose foundation model for functional MRI analysis. Nature Biomedical Engineering 2026, 1-12. PMID: 42026120, DOI: 10.1038/s41551-026-01666-y.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingFunctional magnetic resonance imaging analysisFunctional MRI analysisCognitive phenotypesModel designBrain functionDownstream tasksRe-identificationRepresentation modelDiverse downstream applicationsTask adaptationDownstream applicationsDiagnosis performanceState classificationMagnetic resonance imagingPreprocessing pipelineAged 5Spatial-temporalMRI analysisFMRI volumesResonance imagingDemographic predictionsNeurological disordersDisease diagnosisRepresentation
2025
Predicting cognitive functioning in early psychosis: factors supporting and limiting generalizability of connectome-based models
O’Neill A, Pax M, Parent J, Sepulcre J, Camprodon J, Noble S, Roffman J, Eryilmaz H. Predicting cognitive functioning in early psychosis: factors supporting and limiting generalizability of connectome-based models. NPP—Digital Psychiatry And Neuroscience 2025, 3: 11. PMID: 40475845, PMCID: PMC12133584, DOI: 10.1038/s44277-025-00032-1.Peer-Reviewed Original ResearchConnectome-based predictive modelingEarly psychosisCognitive functionGoal of precision psychiatryPredictors of cognitive functionPrediction of cognitive functionPredicting cognitive performancePredicting cognitive functionModels of cognitionConnectome-based modelsPersonalized treatment developmentBrain connectivity patternsImpact functional outcomesHuman Connectome ProjectFluid cognitionPsychotic disordersSomatomotor networkCognitive abilitiesCognitive performancePrecision psychiatryVirtual lesion analysisTreatment developmentPsychosisCognitive outcomesCognitive impairmentSpatiotemporal Correlation between Amyloid and Tau Accumulations Underlies Cognitive Changes in Aging
Kim C, Diez I, Bueicheku E, Montal V, Sepulcre J. Spatiotemporal Correlation between Amyloid and Tau Accumulations Underlies Cognitive Changes in Aging. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/3783.Peer-Reviewed Original ResearchTau accumulationCognitive changesPositron emission tomographyEarly cognitive changesLongitudinal positron emission tomographyAmyloid-betaCortical patternsAlzheimer's diseaseTauAging BrainCognitive scoresPreclinical ADOlder adultsSpatiotemporal levelsEmission tomographyBrainComplex roleAccumulationImaging markersAmyloidDifferential links in 16p11.2 deletion carriers reveal aberrant connections between large-scale networks
Qureshi A, Nielsen J, Sepulcre J. Differential links in 16p11.2 deletion carriers reveal aberrant connections between large-scale networks. Cerebral Cortex 2025, 35: bhae474. PMID: 40007052, PMCID: PMC11859958, DOI: 10.1093/cercor/bhae474.Peer-Reviewed Original ResearchConceptsInferior parietal lobuleSuperior temporal gyrusLarge-scale networksDeletion carriersHeteromodal association areasDifferential linksHypo-connectivitySocial impairmentTemporal gyrusParietal lobulePosterior insulaAssociated with greater communicationAberrant connectivityAssociation areasCingulate sulcusBehavioral changesGlobal coherenceEntangled connectionsSulcusGreater communicationInsulaCingulateGyrusCopy number variationsImpairmentMapping cross-modal functional connectivity of major neurotransmitter systems in the human brain
Saiz-Masvidal C, De la Peña-Arteaga V, Bertolín S, Diez I, Juaneda-Seguí A, Martínez-Zalacaín I, Chavarría-Elizondo P, Subirà M, Menchón J, Sepulcre J, Fullana M, Soriano-Mas C. Mapping cross-modal functional connectivity of major neurotransmitter systems in the human brain. Brain Structure And Function 2025, 230: 137. PMID: 40828212, PMCID: PMC12364969, DOI: 10.1007/s00429-025-02996-4.Peer-Reviewed Original ResearchConceptsDorsal raphe nucleusVentral tegmental areaSubstantia nigra pars compactaFunctional connectivityMonoaminergic systemsRs-FCLocus coeruleusMedial frontal cortexResting-state functional MRIDorsal raphe nucleus projectsRs-fMRI analysisPrefrontal cortexTegmental areaFrontal cortexNeurotransmitter systemsRaphe nucleusDopaminergic pathwaysNeuropsychiatric conditionsInsular cortexNeurotransmitter networksBehavioral flexibilityMonoaminergic nucleiSubcortical regionsFunctional MRIBrain activity
2024
Stepwise pathways from the olfactory cortex to central hub regions in the human brain
Menelaou G, Diez I, Zelano C, Zhou G, Persson J, Sepulcre J, Olofsson J. Stepwise pathways from the olfactory cortex to central hub regions in the human brain. Human Brain Mapping 2024, 45: e26760. PMID: 39688149, PMCID: PMC11651219, DOI: 10.1002/hbm.26760.Peer-Reviewed Original ResearchConceptsDefault-mode networkCortical hubsHuman brainDefault-mode network regionsAnterior olfactory nucleusFunctional connectivity researchProcessing rewardOrbitofrontal cortexAnterior insulaOlfactory tubercleFrontal sulcusPiriform cortexOlfactory cortexCortical subregionsOlfactory nucleusAssociation cortexLanguage acquisitionParietal operculumNeural activityTemporal regionsCortical networksSynchronous neural activityOlfactory pathwaySensory cortexOlfactory systemDecoding cortical chronotopy—Comparing the influence of different cortical organizational schemes
Mecklenbrauck F, Sepulcre J, Fehring J, Schubotz R. Decoding cortical chronotopy—Comparing the influence of different cortical organizational schemes. NeuroImage 2024, 303: 120914. PMID: 39491762, DOI: 10.1016/j.neuroimage.2024.120914.Peer-Reviewed Original ResearchConceptsRich-clubInter-subject correlationStructural rich clubNetwork module structureLevels of cognitive controlInter-subject correlation analysisGraph-theoretic measures of centralityResting-state fMRIHigher cortical areasOrganizational schemeMode of processingIntrinsic timescalesBayesian model comparisonCognitive controlTask fMRIDiffusion-weighted imaging dataCortical regionsModulated structureTimescalesCortical areasNetwork hubsDigital sequencesCytoarchitectural differencesMeasures of centralityModel comparisonReorganization of integration and segregation networks in brain-based visual impairment
Diez I, Troyas C, Bauer C, Sepulcre J, Merabet L. Reorganization of integration and segregation networks in brain-based visual impairment. NeuroImage Clinical 2024, 44: 103688. PMID: 39432973, PMCID: PMC11535411, DOI: 10.1016/j.nicl.2024.103688.Peer-Reviewed Original ResearchIntraparietal sulcusReduced gray matter volumeResting state functional connectivityCerebral visual impairmentGray matter volumeFunctional network architectureMultimodal integration areasMode networkMatter volumeNeurotypical developmentFunctional connectivityVisual processingEnvironmental experiencesCerebral connectivityPrimary visual cortexHuman brainConnectome analysisBrain injuryNetwork organizationVisual cortexImpairmentInvestigate differencesCompared to controlsFunctional changesParticipants