2024
Multimodal 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
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
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 studies
2008
Low-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 ResearchMeSH KeywordsAlgorithmsBrainCerebrovascular CirculationHemodynamicsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingClassification 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
2005
Analysis of Event-Related fMRI Data Using Diffusion Maps
Shen X, Meyer F. Analysis of Event-Related fMRI Data Using Diffusion Maps. Lecture Notes In Computer Science 2005, 19: 652-663. PMID: 17354733, DOI: 10.1007/11505730_54.Peer-Reviewed Original Research