Jorge Sepulcre, MD, PhD
Associate Professor of Radiology and Biomedical ImagingCards
About
Research
Publications
2025
Differential 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 variationsImpairment
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 systemAD Pathology Spreading Detection Using Directional Motifs in Brain Connectomes
Bueichekú E, Diez I, Úbeda A, Kim C, Jacobs H, Sepulcre J. AD Pathology Spreading Detection Using Directional Motifs in Brain Connectomes. Alzheimer's & Dementia 2024, 20: e088834. PMCID: PMC11710655, DOI: 10.1002/alz.088834.Peer-Reviewed Original ResearchTau progressionAlzheimer's diseaseNetwork motifsProgression of tau pathologyContext of ADFeed-forward loopToxic tauTau propagationTau proteinTau pathologyTau accumulationProtein spreadingMotifMotif networkEmergence of cognitive declineMedial prefrontal regionsAmyloid accumulationTauCharacteristics of pathologyMild cognitive impairmentAlzheimer's Disease Neuroimaging InitiativePrefrontal regionsTau PET dataBrain systemsClinical ADSubject‐level Detection of Focal Neurodegeneration Using Spatiotemporal Connectomics: Towards Atrophy Characterization in Preclinical Alzheimer's Disease
Sánchez C, Diez I, Bueichekú E, Kim C, Grothe M, Sanchez‐Juan P, Sepulcre J. Subject‐level Detection of Focal Neurodegeneration Using Spatiotemporal Connectomics: Towards Atrophy Characterization in Preclinical Alzheimer's Disease. Alzheimer's & Dementia 2024, 20: e093803. PMCID: PMC11713922, DOI: 10.1002/alz.093803.Peer-Reviewed Original ResearchAlzheimer's diseaseNeurodegenerative diseasesGraph-theory-based frameworkHealthy agingBrain atrophyVoxel-based morphometryGray matter measuresAtrophy phenotypeSingle-subject levelPreclinical Alzheimer's diseaseCognitively normal participantsT1 MRI scansDisease phenotypePhenotypic heterogeneityBrain mechanismsGraph theory approachLongitudinal MRI dataFocal neurodegenerationNormal participantsAtrophy patternsFollow-up timepointsGroups of subjectsPhenotypePreclinical ADStructural similaritySubject‐level Detection of Focal Neurodegeneration Using Spatiotemporal Connectomics: Towards Atrophy Characterization in Preclinical Alzheimer’s Disease
Sánchez C, Diez I, Bueichekú E, Kim C, Grothe M, Sanchez‐Juan P, Sepulcre J. Subject‐level Detection of Focal Neurodegeneration Using Spatiotemporal Connectomics: Towards Atrophy Characterization in Preclinical Alzheimer’s Disease. Alzheimer's & Dementia 2024, 20: e089064. PMCID: PMC11715297, DOI: 10.1002/alz.089064.Peer-Reviewed Original ResearchAlzheimer's diseaseNeurodegenerative diseasesGraph-theory-based frameworkHealthy agingBrain atrophyVoxel-based morphometryGray matter measuresAtrophy phenotypeSingle-subject levelPreclinical Alzheimer's diseaseCognitively normal participantsT1 MRI scansDisease phenotypePhenotypic heterogeneityBrain mechanismsGraph theory approachLongitudinal MRI dataFocal neurodegenerationNormal participantsAtrophy patternsFollow-up timepointsGroups of subjectsPhenotypePreclinical ADStructural similarityLongitudinal associations of microstructural changes, amyloid, and cognition in preclinical Alzheimer's disease
Vannini P, Bertazzoli G, Rodriguez‐Vieitez E, Ramseyer M, Diez I, Sepulcre J, Hanseeuw B, Lois C, Gagliardi G, Westin C, Johnson K, Sperling R, Marshall G. Longitudinal associations of microstructural changes, amyloid, and cognition in preclinical Alzheimer's disease. Alzheimer's & Dementia 2024, 20: e089927. PMCID: PMC11714664, DOI: 10.1002/alz.089927.Peer-Reviewed Original ResearchCortical mean diffusivityCognitive declineLongitudinal associationsCortical thicknessHarvard Aging Brain StudyBaseline cortical thicknessCN older adultsAging Brain StudyCompound B PETLongitudinal cognitive declinePreclinical Alzheimer's diseaseDrug-induced changesCognitive covariatesIsthmus cingulateStructural MRIPost-hoc stratifying analysisCognitive AssessmentAt-risk individualsCognitionGeneralized linear modelBrain studiesMean diffusivityOlder adultsGray matterDiffusion-weighted imagingThe Cerebellum Plays a Protective Role in Cognitive Aging and Disease: Insights from a Multi‐Cohort Study
Uquillas F, Sefik E, Seidlitz J, Merriman J, Zhang V, Kislin M, Cohen J, Alexander‐Bloch A, Bethlehem R, Sepulcre J, Wang S, Vannini P, Gomez J, Initiative T. The Cerebellum Plays a Protective Role in Cognitive Aging and Disease: Insights from a Multi‐Cohort Study. Alzheimer's & Dementia 2024, 20: e085743. PMCID: PMC11716736, DOI: 10.1002/alz.085743.Peer-Reviewed Original ResearchMontreal Cognitive AssessmentEstimated intracranial volumeBrain reserveCognitive declineMontreal Cognitive Assessment scoreCerebellar volumePattern of cognitive declineUK BiobankAging-related cognitive declineCerebellar tissue volumesPosterior cerebellar cortexAmyloid burdenAPOE genotypeAlzheimer's diseaseCerebellar associationsMild cognitive impairmentExecutive functionCognitive agingAmyloid-beta burdenVentral attentionPosterior cerebellumCrus IAge-related changesDiagnostic groupsProcessing speedDecoding 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 changesParticipantsMultimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption
d’Oleire Uquillas F, Sefik E, Li B, Trotter M, Steele K, Seidlitz J, Gesue R, Latif M, Fasulo T, Zhang V, Kislin M, Verpeut J, Cohen J, Sepulcre J, Wang S, Gomez J. Multimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption. Molecular Psychiatry 2024, 30: 1558-1572. PMID: 39390225, DOI: 10.1038/s41380-024-02769-1.Peer-Reviewed Original ResearchAutism spectrum disorderNeurotypical childrenFunctional connectivityMultimodal evidenceFunctional connectivity analysisModel of autismCerebro-cerebellar pathwayAtypical connectivitySpectrum disorderConnectivity analysisEarly adolescenceASD childrenCerebellar influenceBehavioral developmentNeurodevelopmental disordersFunctional-structural relationshipsCerebellar structuresAutismYoung childhoodLiving brainCerebellumFunctional synchronizationThalamusSignificant lateralizationCerebral cortex