2025
Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data
Collins E, Chishti O, McGrath H, Obaid S, King A, Qiu E, Gabriel E, Shen X, Arora J, Papademetris X, Constable R, Spencer D, Zaveri H. Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data. Frontiers In Network Physiology 2025, 5: 1585019. DOI: 10.3389/fnetp.2025.1585019.Peer-Reviewed Original ResearchMultimodal neuroimaging dataNeuroimaging dataAnalysis of multimodal neuroimaging dataBrain structure-function relationshipsFunctional neuroimaging dataFMRI activation dataWhite matter connectomeHuman Connectome ProjectBrain atlasesCortical thickness profilesConnectome ProjectHuman brainAnatomical parcellationBrainConnectivity matrixAtlas spaceYaleInteractive explorationHealthy subjectsWeb toolCognitionInteractive pagesEmotionsSubjectsConnectomeA genetically informed brain atlas for enhancing brain imaging genomics
Bao J, Wen J, Chang C, Mu S, Chen J, Shivakumar M, Cui Y, Erus G, Yang Z, Yang S, Wen Z, Zhao Y, Kim D, Duong-Tran D, Saykin A, Zhao B, Davatzikos C, Long Q, Shen L. A genetically informed brain atlas for enhancing brain imaging genomics. Nature Communications 2025, 16: 3524. PMID: 40229250, PMCID: PMC11997130, DOI: 10.1038/s41467-025-57636-6.Peer-Reviewed Original ResearchConceptsBrain imaging genomicsImaging genomicsComplex traits/diseasesSNP heritabilityFunctional annotationGenetic architecturePolygenic risk scoresGenomic investigationsGenetic ancestryDiscovery powerBrain atlasesHuman brain structureGenetic determinantsNeuroanatomical heterogeneityGenomeNeuroanatomical variationImaging endophenotypesBrain structuresMolecular levelBrain voxelsHeritabilityPhenotypic correlationsGiant regionGeneticsBrain conditions
2024
The cell-type underpinnings of the human functional cortical connectome
Anderson K, Chopra S, Dhamala E, Emani P, Gerstein M, Margulies D, Holmes A. The cell-type underpinnings of the human functional cortical connectome. Nature Neuroscience 2024, 28: 150-160. PMID: 39572742, DOI: 10.1038/s41593-024-01812-2.Peer-Reviewed Original ResearchSingle-nucleus RNA sequencing dataCell-type distributionRNA sequencing dataMicroarray dataSingle-nucleusIn vivo organizationCortical sheetCortical connectomeAllen Human Brain AtlasCell typesFunctional magnetic resonance imagingCellular fingerprintsCortical tissue samplesHuman Brain AtlasOrganization of cortexFunctional organization of cortexCellular compositionBrain atlasesFunctional organizationCellsEnriched cellsAssociative territoryFunctional propertiesTissue samplesSpatial topographyAn In Vivo High-Resolution Human Brain Atlas of Synaptic Density
Johansen A, Beliveau V, Colliander E, Raval N, Dam V, Gillings N, Aznar S, Svarer C, Plavén-Sigray P, Knudsen G. An In Vivo High-Resolution Human Brain Atlas of Synaptic Density. Journal Of Neuroscience 2024, 44: e1750232024. PMID: 38997157, PMCID: PMC11326867, DOI: 10.1523/jneurosci.1750-23.2024.Peer-Reviewed Original ResearchPathogenesis of brain disordersBrain disordersHuman brainFunctional topographySynaptic densityBrain physiologySynapse densityHigher-order cortical areasSynaptic vesicle glycoprotein 2AHuman brain physiologyHealthy human brainSV2A densityPET neuroimagingComparative neuroscienceNeuroscience researchCortical areasBrainAutoradiography dataDisordersNeuroscienceBrain atlasesHealthy humansSV2APositive associationMRNA patternsHomotopic functional connectivity disruptions in schizophrenia and their associated gene expression
Cai M, Ji Y, Zhao Q, Xue H, Sun Z, Wang H, Zhang Y, Chen Y, Zhao Y, Zhang Y, Lei M, Wang C, Zhuo C, Liu N, Liu H, Liu F. Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression. NeuroImage 2024, 289: 120551. PMID: 38382862, DOI: 10.1016/j.neuroimage.2024.120551.Peer-Reviewed Original ResearchConceptsVoxel-mirrored homotopic connectivityAbnormal VMHCAllen Human Brain AtlasFunctional connectivity disruptionsHuman Brain AtlasExtensive cortical regionsBrain gene expression profilesIllness durationHomotopic connectivitySchizophreniaDecoding analysesCortical regionsConnectivity disruptionsDevelopmental time windowCell communicationChanges compared to controlsExpression of identified genesGene expression dataBrain atlasesRegulation of cell communicationMeta-regression analysisGene expression profilesNervous system developmentExpression dataNeurosynth
2022
High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter
McGrath H, Zaveri H, Collins E, Jafar T, Chishti O, Obaid S, Ksendzovsky A, Wu K, Papademetris X, Spencer D. High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter. Scientific Reports 2022, 12: 18778. PMID: 36335146, PMCID: PMC9637135, DOI: 10.1038/s41598-022-21543-3.Peer-Reviewed Original ResearchConceptsEpilepsy surgery cohortStandardized brain regionsBrain structure-function relationshipsSurgery cohortClinical usefulnessBrain metricsAnatomical locationBrain regionsBrain localizationCortical parcellationOwn unique benefitsIntracranial electroencephalographyAnatomical designationBrain anatomyHuman brain anatomyHuman brainBrain atlasBrain landmarksBrain atlasesParcellationMagnetic resonanceNearest centimeterAnatomical featuresAnatomyCortical localizationGene expression associated with human brain activations in facial expression recognition
Wang Z, Ji Y, Fu Y, Liu F, Du X, Liu H, Zhu W, Xue K, Qin W, Zhang Q. Gene expression associated with human brain activations in facial expression recognition. Brain Imaging And Behavior 2022, 16: 1657-1670. PMID: 35212890, DOI: 10.1007/s11682-022-00633-w.Peer-Reviewed Original ResearchConceptsAllen Human Brain AtlasHuman Connectome ProjectBrain activityHigh-resolution fMRI dataHuman postmortem brain tissueHuman Brain AtlasPostmortem brain tissueHuman brain activityPsychiatric disordersEmotional impairmentsFMRI dataLocus of emotionPsychiatric diseasesFacial expression recognitionCell junction organizationConnectome ProjectSynaptic functionGenetic lociExpression dataAssociation analysisBrain atlasesExpression recognitionGene expressionBiological processesGenes
2020
Central neurogenetic signatures of the visuomotor integration system
Bueichekú E, Aznárez-Sanado M, Diez I, Uquillas F, Ortiz-Terán L, Qureshi A, Suñol M, Basaia S, Ortiz-Terán E, Pastor M, Sepulcre J. Central neurogenetic signatures of the visuomotor integration system. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 6836-6843. PMID: 32144139, PMCID: PMC7104395, DOI: 10.1073/pnas.1912429117.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAutism Spectrum DisorderBrain MappingCalcium ChannelsCohort StudiesEpilepsies, MyoclonicFemaleHumansMaleMiddle AgedMotor CortexNAV1.1 Voltage-Gated Sodium ChannelNeurodevelopmental DisordersPrader-Willi SyndromeProteinsPsychomotor PerformanceT-Box Domain ProteinsVisual CortexVisual PerceptionConceptsAutism spectrum disorderVisuomotor integrationNeurogenetic syndromesAllen Human Brain AtlasHuman cortexHuman Brain AtlasWilliams syndromeSpectrum disorderConnectome approachVisuomotor impairmentFragile XSystems neuroscienceVisuomotorHuman brainCortexFunctional impairmentBiological basisPrader-WilliBrain atlasesExpression traitsNeuronal organizationGene expression traitsDisordersImpairmentNeural development
2015
Stereotaxic Magnetic Resonance Imaging Brain Atlases for Infants from 3 to 12 Months
Fillmore P, Richards J, Phillips-Meek M, Cryer A, Stevens M. Stereotaxic Magnetic Resonance Imaging Brain Atlases for Infants from 3 to 12 Months. Developmental Neuroscience 2015, 37: 515-532. PMID: 26440296, PMCID: PMC4644510, DOI: 10.1159/000438749.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingAdult brainBrain structuresInfant brainAge-appropriate templatesFirst yearIndividual brain regionsSubcortical areasCortical areasBrain areasInfant ageResonance imagingBrain regionsInfant developmentInfantsMRI templateBrainStereotaxic atlasStereotaxic atlasesAgeInfant participantsBrain atlasesCurrent studyIndividualsParticipants
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