2024
Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator
Mandino F, Shen X, Desrosiers-Grégoire G, O’Connor D, Mukherjee B, Owens A, Qu A, Onofrey J, Papademetris X, Chakravarty M, Strittmatter S, Lake E. Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator. Molecular Psychiatry 2024, 1-16. PMID: 39424929, DOI: 10.1038/s41380-024-02779-z.Peer-Reviewed Original ResearchFunctional connectivity deficitsConnectivity deficitsFunctional connectivityBrain connectivityAllosteric modulators of mGluR5Alzheimer's diseaseDefault-mode networkModulation of mGluR5Loss of functional connectivityResting-state fMRIApplication of fMRIWild-type controlsAged AD miceMouse model of Alzheimer's diseaseAD-related changesAD miceModel of Alzheimer's diseaseAssociated with synaptic damageMGluR5 modulationMonths of ageFMRI measurementsAmyloid accumulationDecreased connectivityBrain networksSilent allosteric modulatorsMapping 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 repositoriesRepetitive Mild Closed-Head Injury Induced Synapse Loss and Increased Local BOLD-fMRI Signal Homogeneity
Markicevic M, Mandino F, Toyonaga T, Cai Z, Fesharaki-Zadeh A, Shen X, Strittmatter S, Lake E. Repetitive Mild Closed-Head Injury Induced Synapse Loss and Increased Local BOLD-fMRI Signal Homogeneity. Journal Of Neurotrauma 2024 PMID: 39096127, DOI: 10.1089/neu.2024.0095.Peer-Reviewed Original ResearchChronic variable stressRegional homogeneityFunctional brain abnormalitiesSynapse densityMild closed-head injuryClosed-head injuryTraumatic brain injuryTreat traumatic brain injuryNeurobiological alterationsMild head injuryVariable stressBrain abnormalitiesPositron emission tomographyMultimodal studiesSynaptic densityMagnetic resonance imagingBrain imagingBrain injuryInduce synapse lossFMRIInjured miceMouse modelEmission tomographyResonance imagingCompensatory mechanismsMultimodal 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
SMC5 Plays Independent Roles in Congenital Heart Disease and Neurodevelopmental Disability
O'Brien M, Pryzhkova M, Lake E, Mandino F, Shen X, Karnik R, Atkins A, Xu M, Ji W, Konstantino M, Brueckner M, Ment L, Khokha M, Jordan P. SMC5 Plays Independent Roles in Congenital Heart Disease and Neurodevelopmental Disability. International Journal Of Molecular Sciences 2023, 25: 430. PMID: 38203602, PMCID: PMC10779392, DOI: 10.3390/ijms25010430.Peer-Reviewed Original ResearchLongitudinal simultaneous fMRI and mesoscale calcium imaging in a mouse model of Alzheimer’s disease
Mandino F, Shen X, Desrosiers-Gregoire G, O'Connor D, Mukherjee B, DeLuca K, Hamodi A, Owens A, Ha Y, Qu A, Onofrey J, Papademetris X, Chakravarty M, Crair M, Strittmatter S, Lake E. Longitudinal simultaneous fMRI and mesoscale calcium imaging in a mouse model of Alzheimer’s disease. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/3914.Peer-Reviewed Original ResearchMouse model of Alzheimer's diseaseModel of Alzheimer's diseaseMesoscale calcium imagingAlzheimer's diseaseBehavioral deficitsExcitatory neural activityMultimodal neuroimagingBOLD signalSimultaneous fMRINeuroimaging changesNeural activityBOLD fMRIPreliminary evidenceCalcium imagingClinically accessible biomarkersMesoscopic calcium imagingSpontaneous activityFMRINeuroimagingBOLDDeficitsComplex relationship
2022
Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type
O’Connor D, Mandino F, Shen X, Horien C, Ge X, Herman P, Hyder F, Crair M, Papademetris X, Lake E, Constable. Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type. NeuroImage 2022, 264: 119735. PMID: 36347441, PMCID: PMC9808917, DOI: 10.1016/j.neuroimage.2022.119735.Peer-Reviewed Original Research
2021
Sex differences in connectivity in the default mode network in healthy aging adults
Ficek B, Horien C, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in connectivity in the default mode network in healthy aging adults. Alzheimer's & Dementia 2021, 17 DOI: 10.1002/alz.056050.Peer-Reviewed Original ResearchIntrinsic connectivity distributionDefault mode networkAlzheimer's diseaseHealthy aging adultsElevated riskAging AdultsLarge cross-sectional studyPosterior default mode networkSex differencesMode networkCross-sectional cohortCross-sectional studyPreclinical Alzheimer's diseaseSymptomatic Alzheimer's diseaseResting-state scansSex-based differencesAnterior nodeAD showDMN connectivityHealthy adultsFunctional MRI dataNormal individualsResults FemalesZ-scoreFunctional connectivity
2020
Increased connectivity in several bilateral frontal and fronto‐parietal networks predicts depressive symptoms in mid‐ to late‐life diabetics
Salardini A, Shen X, Hashemi‐Aghdam A, Laltoo E, Savoia S, Tokoglu F, Constable T. Increased connectivity in several bilateral frontal and fronto‐parietal networks predicts depressive symptoms in mid‐ to late‐life diabetics. Alzheimer's & Dementia 2020, 16 DOI: 10.1002/alz.043619.Peer-Reviewed Original ResearchDepressive symptomsBeck Depression InventoryDiabetic individualsBDI scoresDepression InventoryPrefrontal cortexBackground Depressive symptomsLate-life diabetesVascular cognitive impairmentDiagnosis of diabetesHigher BDI scoresComprehensive neuropsychological testingDorsal prefrontal cortexBilateral ventromedial prefrontal cortexRs-fMRI dataDiabetic patientsFazekas scoreMoCA scoresNeuropsychological testingFunctional connectivity matricesCognitive impairmentDepression symptomsVentromedial prefrontal cortexSymptomsRs-fMRI
2019
Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis
Gao S, Shen X, Todd Constable R, Scheinost D. Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. Lecture Notes In Computer Science 2019, 11766: 772-780. DOI: 10.1007/978-3-030-32248-9_86.Peer-Reviewed Original Research
2016
Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks
Scheinost D, Tokoglu F, Shen X, Finn ES, Noble S, Papademetris X, Constable RT. Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Transactions On Biomedical Engineering 2016, 63: 2540-2549. PMID: 27541328, PMCID: PMC5180443, DOI: 10.1109/tbme.2016.2600248.Peer-Reviewed Original ResearchConceptsGlobal brain activityResting-state networksWhole-brain connectivityBrain activityResting-state functional magnetic resonance imagingTime pointsFunctional resting-state networksFunctional magnetic resonance imagingMagnetic resonance imagingResting-state studyBrain statesRSN connectivitySensory functionSubcortical regionsResonance imagingCognitive functionCoactivation patternsUnique brain statesBrain connectivityActivity stateCritical time pointsFunctional networksSignal intensityVoxel-based methodBrain dynamics
2015
Methodological Issues in fMRI Functional Connectivity and Network Analysis
Finn E, Scheinost D, Shen X, Papademetris X, Constable R. Methodological Issues in fMRI Functional Connectivity and Network Analysis. 2015, 697-704. DOI: 10.1016/b978-0-12-397025-1.00352-3.Peer-Reviewed Original Research
2014
Functional Connectivity MR Imaging
Hampson M, Shen X, Constable R. Functional Connectivity MR Imaging. 2014, 83-104. DOI: 10.1007/978-1-4939-1995-6_6.ChaptersPerturbation of the eigenvectors of the graph Laplacian: Application to image denoising
Meyer F, Shen X. Perturbation of the eigenvectors of the graph Laplacian: Application to image denoising. Applied And Computational Harmonic Analysis 2014, 36: 326-334. DOI: 10.1016/j.acha.2013.06.004.Peer-Reviewed Original Research
2013
Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data
Scheinost D, Shen X, Finn E, Sinha R, Constable R, Papademetris X. Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data. Mathematics And Visualization 2013, 219-227. DOI: 10.1007/978-3-319-02475-2_20.Peer-Reviewed Original Research
2011
A whole-brain voxel based measure of intrinsic connectivity contrast reveals local changes in tissue connectivity with anesthetic without a priori assumptions on thresholds or regions of interest
Martuzzi R, Ramani R, Qiu M, Shen X, Papademetris X, Constable RT. A whole-brain voxel based measure of intrinsic connectivity contrast reveals local changes in tissue connectivity with anesthetic without a priori assumptions on thresholds or regions of interest. NeuroImage 2011, 58: 1044-1050. PMID: 21763437, PMCID: PMC3183817, DOI: 10.1016/j.neuroimage.2011.06.075.Peer-Reviewed Original ResearchConceptsIntrinsic connectivity contrastBrain circuitsFunctional connectivity fMRISpontaneous fluctuationsFunctional magnetic resonance imaging (fMRI) signalsWhole-brain voxelDifferent brain circuitsConnectivity analysisMagnetic resonance imaging signalsSevoflurane anesthesiaIntrinsic connectivityIndividual tissue elementsICC analysisICC measuresRegion of interestTissue elementsFMRI signalsBrainNon-invasive mannerFunctional organizationImaging signalsSeed regionSingle seed regionTissue connectivityPrevious studiesFunctional Connectivity MR Imaging
Hampson M, Shen X, Constable R. Functional Connectivity MR Imaging. 2011, 355-371. DOI: 10.1007/978-1-4419-0345-7_21.Chapters
2008
Detection and Segmentation of Concealed Objects in Terahertz Images
Shen X, Dietlein C, Grossman E, Popović Z, Meyer F. Detection and Segmentation of Concealed Objects in Terahertz Images. IEEE Transactions On Image Processing 2008, 17: 2465-2475. PMID: 19004716, DOI: 10.1109/tip.2008.2006662.Peer-Reviewed Original ResearchConceptsSegmentation algorithmStandard segmentation algorithmsImage segmentation algorithmArt segmentation methodsAnisotropic diffusion algorithmDedicated hardwareSegmentation methodImages of objectsDiffusion algorithmDifferent objectsPoor contrastAlgorithmHardwareImagesObjectsPassive terahertz imagingTerahertz imagesTerahertz imagingConcealed ObjectsGaussian densitySegmentationLow signalTHz imagesInherent physical propertiesRadiometric temperatureLow-dimensional embedding of fMRI datasets
Shen X, Meyer F. Low-dimensional embedding of fMRI datasets. NeuroImage 2008, 41: 886-902. PMID: 18450478, DOI: 10.1016/j.neuroimage.2008.02.051.Peer-Reviewed Original ResearchClassification of fMRI Time Series in a Low-Dimensional Subspace with a Spatial Prior
Meyer F, Shen X. Classification of fMRI Time Series in a Low-Dimensional Subspace with a Spatial Prior. IEEE Transactions On Medical Imaging 2008, 27: 87-98. PMID: 18270065, DOI: 10.1109/tmi.2007.903251.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceBrain MappingComputer SimulationEvoked Potentials, VisualHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingModels, NeurologicalModels, StatisticalPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificityVisual CortexConceptsLow-dimensional subspace