2024
Mapping the structure-function relationship along macroscale gradients in the human brain
Collins E, Chishti O, Obaid S, McGrath H, King A, Shen X, Arora J, Papademetris X, Constable R, Spencer D, Zaveri H. Mapping the structure-function relationship along macroscale gradients in the human brain. Nature Communications 2024, 15: 7063. PMID: 39152127, PMCID: PMC11329792, DOI: 10.1038/s41467-024-51395-6.Peer-Reviewed Original ResearchConceptsStructure-function correspondenceBrain regionsMacroscale gradientWhite matter connectivityHuman brain regionsStructure-function couplingNeural network propertiesAssociation cortexCognitive functionBridging neuroscienceFunctional coactivationOrganizational axisCortical thicknessHuman brainMotor cortexLanguage processingBrainCortexMotor functionNatural language processingNetwork propertiesMotorNeuroscienceNatural languageData repositoriesMultimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization
Vafaii H, Mandino F, Desrosiers-Grégoire G, O’Connor D, Markicevic M, Shen X, Ge X, Herman P, Hyder F, Papademetris X, Chakravarty M, Crair M, Constable R, Lake E, Pessoa L. Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Nature Communications 2024, 15: 229. PMID: 38172111, PMCID: PMC10764905, DOI: 10.1038/s41467-023-44363-z.Peer-Reviewed Original Research
2023
High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways
Mendes H, Neelakantan U, Liu Y, Fitzpatrick S, Chen T, Wu W, Pruitt A, Jin D, Jamadagni P, Carlson M, Lacadie C, Enriquez K, Li N, Zhao D, Ijaz S, Sakai C, Szi C, Rooney B, Ghosh M, Nwabudike I, Gorodezky A, Chowdhury S, Zaheer M, McLaughlin S, Fernandez J, Wu J, Eilbott J, Vander Wyk B, Rihel J, Papademetris X, Wang Z, Hoffman E. High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways. Cell Reports 2023, 42: 112243. PMID: 36933215, PMCID: PMC10277173, DOI: 10.1016/j.celrep.2023.112243.Peer-Reviewed Original ResearchConceptsGene lossFunctional analysisHigh-throughput functional analysisZebrafish mutantsGene discoverySelect mutantsASD genesAutism genesKey pathwaysASD biologyBrain size differencesMutantsGenesSize differencesPathwayGlobal increaseRelevant mechanismsBiologyCentral challengeNeuroimmune dysfunctionRegionFunctionDiscoveryAutism spectrum disorder
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 localization
2018
Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning
Onofrey JA, Staib LH, Papademetris X. Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning. IEEE Transactions On Medical Imaging 2018, 38: 596-607. PMID: 30176584, PMCID: PMC6476428, DOI: 10.1109/tmi.2018.2868045.Peer-Reviewed Original Research
2017
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12: 506-518. PMID: 28182017, PMCID: PMC5526681, DOI: 10.1038/nprot.2016.178.Peer-Reviewed Original Research
2015
Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients
Onofrey JA, Staib LH, Papademetris X. Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients. NeuroImage Clinical 2015, 10: 291-301. PMID: 26900569, PMCID: PMC4724039, DOI: 10.1016/j.nicl.2015.12.001.Peer-Reviewed Original Research
2005
Spatial resolution, signal-to-noise ratio, and smoothing in multi-subject functional MRI studies
Scouten A, Papademetris X, Constable R. Spatial resolution, signal-to-noise ratio, and smoothing in multi-subject functional MRI studies. NeuroImage 2005, 30: 787-793. PMID: 16343951, DOI: 10.1016/j.neuroimage.2005.10.022.Peer-Reviewed Original ResearchConceptsSingle-subject studySpecific cortical regionsFunctional MRI studyBasic neuroscience studiesRandom effects analysisNeurosurgical interventionHemodynamic responseMRI studiesCortical activityCortical regionsFunctional MRIBrain functionFunctional anatomyNeurosurgical planningFunctional mappingSubtle activationClinical environmentGroup-level statisticsNeurophysiological underpinningsPartial volume effectsActivationNeuroscience studiesPatientsGroup statistics